# Best Retail Analytics Software - Page 7 *By [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)* Retail analytics software provides retailers with an in-depth look into all aspects of their business. It equips them with detailed analytical data to make more informed and strategic decisions. The tool does so by analyzing retail key performance indicators (KPI) like the total sales volume, average transaction size, retail conversion rate, rate of return, etc. Retail analysts and managers use this tool to see how the company performs across regions and business units, often in real time. Retail analytics software helps identify and analyze customers' data and determine which items are selling well, when items sell most, and what demographics purchase which items. It also helps study shopping patterns and uncover consumer trends with consumer packaged goods (CPG) or durable goods, enabling sales and marketing teams to formulate better sales strategies and implement effective marketing loyalty programs. Retail analytics software integrates with other software, such as [retail POS systems](https://www.g2.com/categories/retail-pos), [retail management systems](https://www.g2.com/categories/retail-management-system), and [retail operations software](https://www.g2.com/categories/retail-operations), to gather data on a daily basis. To qualify for inclusion in the Retail Analytics category, a product must: - Integrate with or analyze data from various other retail software - Help in gathering, cleansing, organizing, and analyzing retail data - Provide real-time analytics and visualization through intelligent dashboards - Monitor business KPIs, and enable trend prediction and retail data forecasting - Act as a centralized database and enable the creation of enterprise-ready reports - Be designed specifically for retail and wholesale businesses ## G2 Grid® for Retail Analytics Software ![G2 Grid® for Retail Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/retail-analytics/grids.png?focus%5B%5D=135686&focus%5B%5D=166253&focus%5B%5D=115969&focus%5B%5D=991&focus%5B%5D=150628&focus%5B%5D=29188&focus%5B%5D=8595&focus%5B%5D=52919) Highlighted products: Shopify POS, Crisp Data Platform, Stackline, Board, T.M.A.S., SPS Commerce Analytics, iQmetrix Interconnected Commerce, and Omnia Retail. Underlying data: [Grid® JSON](https://www.g2.com/categories/retail-analytics/grids.json?focus%5B%5D=shopify-shopify-pos&focus%5B%5D=crisp-data-platform&focus%5B%5D=stackline&focus%5B%5D=board&focus%5B%5D=t-m-a-s&focus%5B%5D=sps-commerce-analytics&focus%5B%5D=iqmetrix-interconnected-commerce&focus%5B%5D=omnia-retail) ## How Many Retail Analytics Software Products Does G2 Track? **Total Products under this Category:** 228 ### Category Stats (Jul 2026) - **Average Rating**: 4.4/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Nano AI (+7.99%) - Among all products in this category, Nano AI recorded the largest rating increase compared to last month *Last updated: July 20, 2026* ## How Does G2 Rank Retail Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 4,100+ Authentic Reviews - 228+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Retail Analytics Software Is Best for Your Use Case? - **Leader:** [Shopify POS](https://www.g2.com/products/shopify-shopify-pos/reviews) - **Highest Performer:** [T.M.A.S.](https://www.g2.com/products/t-m-a-s/reviews) - **Easiest to Use:** [Swan AI](https://www.g2.com/products/swan-ai/reviews) - **Top Trending:** [Triple Whale](https://www.g2.com/products/triple-whale/reviews) - **Best Free Software:** [Crisp Data Platform](https://www.g2.com/products/crisp-data-platform/reviews) --- **Sponsored** ### ChannelEngine ChannelEngine connects brands and retailers to 1300+ marketplaces worldwide, offering a single platform to manage your product data, inventory, orders, and pricing across all online channels. With smart automation and seamless integration, we enable you to sell more, grow faster, and stay in control. Our scalable and reliable platform keeps your operations running smoothly, ensuring long-term success as your business grows. Headquartered in Leiden, Netherlands, with global offices in New York, Berlin, Paris and Dubai, we guide leading brands like Unilever, Sanofi, Philips, and Sonos on their marketplace expansion. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1768&secure%5Bchosen_at%5D=2026-07-20T23%3A12%3A21Z&secure%5Bdisplayable_resource_id%5D=1633&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1633&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=94863&secure%5Bresource_id%5D=1768&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fretail-analytics&secure%5Btoken%5D=da50b76a8d8cf1c6f29af03811f8e55f57903dcbbbd6e0945232e0c86b4366cc&secure%5Burl%5D=https%3A%2F%2Fwww.channelengine.com%2Flp%2Fproduct-listing-software-na%3Futm_source%3Dg2%26utm_medium%3Dppc%26utm_campaign%3Dmarketplace&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Retail Analytics Software Products in 2026? ### 1. [eLeader Shelf Recognition AI](https://www.g2.com/products/eleader-shelf-recognition-ai/reviews) eLeader Shelf Recognition AI is a solution enabling field representatives to report on product shelf display and price based on intelligent image recognition. The results arrive within the time of the visit. This is why the representative can react instantly using reliable data. The functionality of eLeader Shelf Recognition AI can be smoothly expanded by any processes used in the field (surveys, promotion audits, route planning, training, perfect store). You need to know that at your fingertips, you have the most functional tool of its class available on Android and iOS mobile platforms. While a manual audit of a product shelf takes about 20 minutes in a modern trade store, Leader Shelf Recognition AI needs 90 seconds to take photos of the display. Main advantages and benefits of the product: 1. Results of a display analysis performed during one visit 2. Lower costs thanks to artificial intelligence 3. Reliable and manipulation-resistant data, shorter time of a display analysis 4. More business decisions during a visit (initiating orders, contracts, promotion audit etc.) 5. Swift implementation 6. The most extensive functionality in the world (thanks to native integration with eLeader Mobile Visit SFA/FFM system) 7. No more inspection visits of supervisors 8. Artificial intelligence consumes the computing power of machines, but saves human energy Functionalities: Adjustment of the display to standards Regardless of how merchandising standards are formulated, eLeader Shelf Recognition AI will be able to read them and analyze where the display needs to be improved. Sample parameters include the number of faces, the immediate vicinity or the shelf number. Adjustment of the display to the planogram If a planogram has been developed for a given store (e.g. created with JDA Space Planning), eLeader Shelf Recognition AI is able to compare the display with the valid template and indicate which products on the shelf need to be added or rearranged in order to achieve full compliance. Identification of competitors’ products Your own expositors are an ideal place to sell products and promote your brand. It is no good when competitors’ products can be found in them. Our solution can detect it and inform the user that e.g. in the refrigerator there is an unwanted product. Automated surveys The reasons for the lack of products on the shelf or other concerning (or just interesting) situations can be diagnosed through triggering a survey at the right moment of a visit. This fully automated functionality facilitates better understanding of the situation on the market. Perfect Store&Visit The requirements for a specific display in a specific store can be expressed as KPIs. Using Perfect Store methodology to fulfil them increases the effectiveness of visits. eLeader Shelf Recognition AI accelerates and automates the stage of gathering display-related data for the purpose of measuring and improving the KPIs of the store, employee or visit. Orders The absence of a product from the shelf is usually a signal to place an order for it. Identification of such a lack may be a designed condition for adding the product to the shopping cart automatically (also in a pre-defined form calculated based on the history of orders). Promotions An example of applying eLeader Shelf Recognition AI in a broader context is the functionality of checking the possibility of rewarding a shop as part of an internal promotional campaign or a loyalty program. All you need to do is to supply the module with the relevant data on display, while the system, based on the photo taken, will calculate the products and determine the possibility of rewarding the store manager. Automated control Good news for auditors and managers! eLeader Shelf Recognition AI practically eliminates the need to conduct audits in stores. Thanks to the photographic documentation and flow of tasks necessitating such checks and corrective measures like surveys or negotiations, inspections can be limited only to special occurrences, often without the need to visit the store. Audit of promotions The monitoring of promotional campaigns can be automated. The system verifies the products covered by a special offer valid for a given shop. In addition, the application will check the compliance of POS (POSM) materials – also by means of image analysis. Route planning Scheduling visits to particular points is a game where the winner is the one who best assesses the sales potential in their area. eLeader Shelf Recognition AI provides information about the availability of products, share of the shelf, the number of faces or meeting merchandising standards. This information is an excellent, relevant input for creating a company ranking of points that should be visited as frequently as possible, because they generate the most profit. Retail Activity Optimization (RAO) A good salesman should always know how to react to irregularities during a visit or further improve good sales results. eLeader Shelf Recognition AI provides quantitative data for comparison, e.g. with three previous visits, detects non-execution of contracts or product shortages. The solution allows for planning visit scenarios in such a way that suggested corrective actions and relevant contextual materials are suggested to the salesman at the moment they are needed. For example: the lack of a product on a particular shelf during the third visit means that the shop manager should be interviewed in order to ensure that contractual obligations are fulfilled or to change the terms of the contract so that the store can meet them. Information on competitors Reports do not only serve the purpose of providing information about the condition of one’s own products, but can also say a lot about the competition. Through recognition of the brands of the competitors, we will receive information on the share of shelves and trends. **Who Is the Company Behind eLeader Shelf Recognition AI?** - **Seller:** [eLeader](https://www.g2.com/sellers/eleader) - **Year Founded:** 2000 - **HQ Location:** Lublin, PL - **LinkedIn® Page:** https://www.linkedin.com/company/eleader (149 employees on LinkedIn®) ### 2. [Equadis Digital Shelf Analytics](https://www.g2.com/products/equadis-digital-shelf-analytics/reviews) Equadis Digital Shelf Analytics (DSA) is an AI-enriched e-commerce analytics solution that helps brands and retailers monitor, analyze, and optimize the online performance of their products across digital sales channels and retail platforms. What do consumers see when they search for your product online? Is it on the 1st page of search results? Well presented? At the right price? With reassuring reviews? Equadis’ Digital Shelf Analytics solution gives you clear visibility into what your consumers see across all online platforms A tailor-made solution adapted to your needs: you choose your products, your competitors, your digital sales channels. Key features include: ➔ Product content monitoring Detects inaccuracies in product information and digital assets published across retailer websites, and surfaces inconsistencies before they impact conversion. ➔ Share of search and category placement Follows where products rank in internal search results and within category pages on each retailer, with cross-keyword and cross-category analysis specific to each site. ➔ Availability and assortment tracking Monitors real-time product presence across retailers and triggers alerts to prevent stock-outs or referencing gaps. ➔ Price and promotion intelligence Tracks price movements and promotional activity across all monitored channels to support competitive pricing decisions. ➔ Customer ratings and reviews analysis Aggregates consumer feedback from retail platforms and applies AI-powered sentiment analysis to generate actionable product insights. ➔ Competitor benchmarking Tracks selected competitor SKUs across the same channels and metrics for direct performance comparison. Every day without visibility is a day your competitors are gaining ground. Equadis DSA is built for brands that refuse to fly blind. Powered by Google AI and built for fast deployment, our platform turns complex, multi-retailer data into prioritized actions your teams can execute immediately. Natively connected to the Equadis PIM and PDS (Syndication), it creates a 'closed loop' of continuous optimization: detect a content gap on a retailer's page, push the correction directly to our PIM, publish the update via our PDS, and watch your shelf performance improve — all within the same ecosystem, without switching tools or losing time. And throughout our partnership, a dedicated Customer Success Manager, who knows your catalog, your retailers, and your requirements, is by your side at every step. **Who Is the Company Behind Equadis Digital Shelf Analytics?** - **Seller:** [Equadis](https://www.g2.com/sellers/equadis) - **Company Website:** https://equadis.com/en/ - **Year Founded:** 1998 - **HQ Location:** Carouge, CH - **LinkedIn® Page:** https://www.linkedin.com/company/equadis/ (116 employees on LinkedIn®) ### 3. [Experian Mosaic Shopper Segments (UK)](https://www.g2.com/products/experian-mosaic-shopper-segments-uk/reviews) Experian's Mosaic Shopper Segments is a specialized consumer segmentation tool designed to help retailers and brands gain a comprehensive understanding of their customers' shopping behaviors and preferences. By integrating retail-specific consumer insights from leading UK market research organizations with extensive geo-demographic data and bespoke research on cross-channel behaviors and technology adoption, this tool offers a holistic view of today's hyperconnected consumer. Key Features and Functionality: - Retail Segmentation: Classifies the UK market using retail-specific attributes, enabling businesses to identify and target distinct consumer groups effectively. - Channel Consistency: Ensures a uniform and relevant consumer experience across all marketing channels, enhancing customer engagement and loyalty. - Geo-Demographic and Market Research Insights: Combines data from market research with geo-demographic expertise to provide a nuanced understanding of consumer behaviors and preferences. Primary Value and Solutions Provided: Mosaic Shopper Segments empowers retailers and brands to maintain relevance and value by delivering personalized and pertinent consumer experiences. This personalization leads to increased customer loyalty, higher sales value, and improved marketing effectiveness. By offering a rounded view of the consumer retail experience, businesses can tailor their strategies to meet the evolving needs of their customers, ensuring sustained growth and competitiveness in the market. **Who Is the Company Behind Experian Mosaic Shopper Segments (UK)?** - **Seller:** [Experian](https://www.g2.com/sellers/experian) - **Year Founded:** 1826 - **HQ Location:** Dublin, Ireland - **Twitter:** @Experian_US (38,771 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/experian (26,191 employees on LinkedIn®) - **Ownership:** LSE: EXPNL ### 4. [eyos connect](https://www.g2.com/products/eyos-connect/reviews) Get more returns from your transaction data by connecting your store to greater opportunities, better promotions, and higher sales - at absolutely no cost. **Who Is the Company Behind eyos connect?** - **Seller:** [eyos Singapore](https://www.g2.com/sellers/eyos-singapore) - **HQ Location:** Singapore, SG - **LinkedIn® Page:** https://www.linkedin.com/company/10176670 (28 employees on LinkedIn®) ### 5. [Freeing Returns](https://www.g2.com/products/freeing-returns/reviews) Freeing Returns™ is a SaaS platform which helps retailers uncover the Fraudsters and Organized Crime Rings hiding in their data; leveraging the power of machine learning, graph-link analysis, and entity resolution. **Who Is the Company Behind Freeing Returns?** - **Seller:** [FREEING RETURNS](https://www.g2.com/sellers/freeing-returns) - **Year Founded:** 2016 - **HQ Location:** Atlanta , US - **Twitter:** @freeingreturns (82 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/freeing-returns/about/ (9 employees on LinkedIn®) ### 6. [Fruits360](https://www.g2.com/products/fruits360/reviews) Fruits360 is a BI and analytics SaaS product that integrates with your Point of Sale (POS) System and provides you with an extensive detailed overview of your business data, empowering you to instantly extract actionable insights. **Who Is the Company Behind Fruits360?** - **Seller:** [Fruits360](https://www.g2.com/sellers/fruits360) - **Year Founded:** 2019 - **HQ Location:** As Sahafa, SA - **LinkedIn® Page:** https://www.linkedin.com/company/fruits-360 (2 employees on LinkedIn®) ### 7. [GoSales](https://www.g2.com/products/gosales/reviews) GoSales by MaxMobility is a powerful Sales Force Automation (SFA) and Distributor Management System (DMS) designed to streamline field sales operations and optimize distribution efficiency. Trusted by 500+ global organizations, GoSales empowers FMCG, CPG, dairy, pharma, and other field-driven businesses with real-time visibility, offline capabilities, and performance analytics. Software Categories: Sales Force Automation (SFA) Distributor Management System (DMS) Field Force & Route Management Order & Inventory Management Asset Tracking & Delivery Automation Key Use Cases: Enable field reps to capture orders, attendance, and customer visits—even in no-network zones Track primary and secondary sales through your distribution ecosystem Manage assets and deliveries with real-time route optimization and tracking Run custom audits, surveys, planograms, and beat compliance workflows Digitize catalogs, field reports, and KPI dashboards for data-driven decisions Top Features: Order Management Real-time mobile order capture Auto-apply discounts, schemes, and pricing Offline sync support Primary & secondary sales tracking Instant order analytics Stock & Inventory Opening stock capture Distributor-wise stock movement Real-time stock alerts Expiry and dump tracking Secondary sales data integration Field Force Automation Route planning and geo-tagged attendance Live rep tracking and productivity analytics Travel expense management Beat plan adherence Field KPIs and custom targets Asset & Delivery Management QR-code based asset tagging Route optimization and live delivery tracking Auto-alerts for missed SLAs Customer feedback and proof of delivery Integration with service ticketing systems Analytics & Reporting Real-time MIS dashboards Custom KPIs and performance tracking Fulfillment, order, and journey reports Territory-wise insights Visual reports for quick decision-making Benefits: Boost sales productivity through automation and accountability Gain complete visibility into field operations and distribution health Operate seamlessly in rural areas with offline-first support Reduce stock wastage and improve order fulfillment Make smarter, faster decisions with real-time data Value Proposition: GoSales is built for businesses where field execution defines success. Whether your team operates in metros or remote villages, GoSales ensures uninterrupted productivity, accurate sales data, and total control over your distribution network. It’s more than an app—it’s your sales command center. **Who Is the Company Behind GoSales?** - **Seller:** [MaxMobility](https://www.g2.com/sellers/maxmobility) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 8. [High Impact Analytics](https://www.g2.com/products/high-impact-analytics/reviews) High Impact Analytics is a company that analyzes retail supply chains and provide solutions to make them more efficient. **Who Is the Company Behind High Impact Analytics?** - **Seller:** [High Impact Analytics](https://www.g2.com/sellers/high-impact-analytics) - **Year Founded:** 2007 - **HQ Location:** Bentonville, US - **LinkedIn® Page:** https://www.linkedin.com/company/high-impact-analytics (30 employees on LinkedIn®) ### 9. [Hivery](https://www.g2.com/products/hivery/reviews) HIVERY is a multi-award winner pioneer of hyper-local retailing, combining artificial intelligence (AI), operations research, and human-centred design to help consumer packaged goods (CPG) manufacturers and retailers generate a return on physical space investments. HIVERY is transforming category management and retail trade promotion with innovative algorithms sourced from Australia's national science agency - CSIRO's Data61. HIVERY is venture-backed and headquartered in Sydney, Australia, with offices in the USA and Japan. HIVERY was founded on the vision that Data Has A Better IdeaTM - and we’re working together with our clients to uncover its full potential. We have 3 SaaS-based solutions 1) AI in category management The world’s first true store level strategy simulation & optimization solution. One-click, rapid, ML-driven to operationalize your category strategy. It can: 1.1. Perform rapid category scenario Simulate multiple strategic scenarios and run playbacks to evaluate business impact and assortment decisions. It will transform your Joint Business Planning (JBP) sessions (in minutes, not months) 1.2. Generate space assortment aware PSA ready planograms in minutes. Generate fully store-level executable planograms that simultaneously understand space and assortment for each store quickly 1.3. Smart store-level planograms Factor your own custom merchandising constraints, goals and brand flow rules as into HIVERY Curate’s model while seeing the impact of transferable and incremental demand when adding or removing any SKUs AI in Vending Machines HIVERY Enhance uses your existing vending management system data and our powerful AI-driven engine to enhance and optimise the mix of product, space and price for each machine in your fleet. It factors only a few data variables to make recommendations that maximise profit. AI in trade promotional optimization HIVERY Promote solution assists CPG companies in predicting the demand impact of their promotional calendar. It models several demand signals, including product catalogue, store placement, seasonality, own and cross-retailer competitor price elasticities, and generates accurate demand predictions along with a range of KPIs. Ultimately, PE will incorporate its optimisation capability to deliver an implementable promotional calendar corresponding to required business KPIs. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Hivery?** - **Ease of Admin:** 10.0/10 (Category avg: 8.6/10) **Who Is the Company Behind Hivery?** - **Seller:** [Hivery](https://www.g2.com/sellers/hivery) - **HQ Location:** Surry Hills, AU - **LinkedIn® Page:** https://www.linkedin.com/company/hivery (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Hivery? **"[Personal review of hivery](https://www.g2.com/survey_responses/hivery-review-7783899)"** **Rating:** 5.0/5.0 stars *— Ganesh K.* [Read full review](https://www.g2.com/survey_responses/hivery-review-7783899) --- ### 10. [Hypertrade](https://www.g2.com/products/hypertrade/reviews) Hypertrade is a well-established retail tech company founded in 2005, powered by retail experts, consultants, data scientists, and technologists. With retail expertise across Asia, Africa, and the Middle East, we guide CPG brands and retailers through digital and data transformation. Our AI-driven SaaS solutions simplify, automate, and optimize key retail processes: · Replenishment: Automate ordering with AI-driven replenishment · Category Management: Utilizing AI-based automatic decision systems and leveraging predictive and prescriptive analytics for business processes focused on financial gains · Planogram Optimization: AI-powered planogram building and optimization · Assortment Optimization: Refine product assortment using AI and shopper preferences · Promotion Workflow Automation: Automate promotion material production from leaflets to ads · Customer Intelligence: Gain insights into shopper behavior and customer segmentation · Data transformation: Centralized platform to aggregate and harmonize data from multiple retailer sources Hypertrade's centralized data platform harmonizes siloed data for real-time analytics. Our solutions deliver actionable insights, predict trends, and drive measurable results through automation, integration with existing systems, and end-to-end consulting support. **Who Is the Company Behind Hypertrade?** - **Seller:** [Hypertrade](https://www.g2.com/sellers/hypertrade-494eb8fb-2bb9-4c8b-8fc2-07f3c06cada5) - **Year Founded:** 2005 - **HQ Location:** Bangkok, TH - **LinkedIn® Page:** https://www.linkedin.com/company/hpt-ariane (34 employees on LinkedIn®) ### 11. [i2o Retail](https://www.g2.com/products/i2o-retail/reviews) i2o Retail is an advanced e-commerce intelligence and automation platform designed to help brands and agencies maximize sales, optimize distribution, and protect their brand presence across online marketplaces. With integrations for Amazon (1P & 3P), Walmart, and other major e-commerce platforms, i2o provides actionable insights and automated solutions across key areas: 1. Brand Protection – Automated enforcement against unauthorized resellers, MAP violators, and Buy Box threats. 2. Growth Accelerator – AI-powered analytics to optimize pricing, ad spend, and sales performance. 3. Digital Shelf Monitoring – Real-time tracking of product listings, pricing changes, and content compliance. 4. Sales Forecasting & Analytics – Machine learning-driven insights to improve revenue predictability and profitability. Used by top global brands, i2o empowers businesses with the data and automation they need to succeed in today’s competitive online retail landscape. **Who Is the Company Behind i2o Retail?** - **Seller:** [i2o Retail](https://www.g2.com/sellers/i2o-retail) - **Year Founded:** 2018 - **HQ Location:** Seattle, US - **LinkedIn® Page:** https://www.linkedin.com/company/49143647 (69 employees on LinkedIn®) ### 12. [INVOLVES](https://www.g2.com/products/involves/reviews) Involves Stage is a comprehensive trade marketing and data intelligence platform designed to optimize retail execution for consumer goods companies across multiple countries. By integrating advanced technologies, including artificial intelligence, Involves Stage enhances the efficiency and effectiveness of field teams, ensuring that marketing strategies are executed flawlessly at the point of sale. Key Features and Functionality: - Intelligent Route Optimization: Utilizes AI to automate the planning of field team routes, reducing travel distances by approximately 20% and decreasing travel time by 17%, leading to significant cost savings and increased productivity. - Real-Time Data Collection: Enables field teams to collect and transmit data instantly, allowing for immediate identification and correction of execution issues at retail locations. - Image Recognition Technology: Employs AI-driven image recognition to convert shelf photos into precise data, facilitating informed decision-making for industries, distributors, and retailers. - Comprehensive Product Management: Offers a structured approach to organizing product portfolios, including supercategories, categories, product lines, and SKUs, streamlining survey creation and reporting. - Customizable Forms and Surveys: Provides tools to design tailored forms and surveys, enabling the collection of specific information on competitor activities, pricing, and shelf presence. Primary Value and User Solutions: Involves Stage addresses the complexities of trade marketing execution by offering a centralized platform that enhances operational efficiency, ensures compliance with marketing strategies, and provides actionable insights through real-time data. By automating route planning and data collection, it reduces operational costs and environmental impact, while its advanced analytics empower companies to make strategic decisions that drive growth and competitiveness in the market. **Who Is the Company Behind INVOLVES?** - **Seller:** [Involves](https://www.g2.com/sellers/involves) - **Year Founded:** 2009 - **HQ Location:** Florianópolis, BR - **LinkedIn® Page:** https://www.linkedin.com/company/involves (350 employees on LinkedIn®) ### 13. [Ivy Insights](https://www.g2.com/products/ivy-insights/reviews) Ivy Insights is a fully integrated data analytics solution on the cloud for consumer goods. Our Insights solution delivers clear, crisp, and actionable intelligence to consumer goods companies in real-time data integration and analysis. Our dashboards help depict your data based on a market summary, daily or monthly sales volumes, top SKUs, brand distribution, and more across different markets. **Who Is the Company Behind Ivy Insights?** - **Seller:** [Ivy Mobility Solutions Ltd](https://www.g2.com/sellers/ivy-mobility-solutions-ltd) - **Year Founded:** 2002 - **HQ Location:** 10 Marina Blvd, SG - **LinkedIn® Page:** https://www.linkedin.com/company/ivy-mobility-solutions (814 employees on LinkedIn®) ### 14. [IWD](https://www.g2.com/products/iwd/reviews) IWD IS A SAAS COMPANY THAT HELPS BRANDS MANAGE THEIR MERCHANDISING CYCLE. We empower brands to achieve consistency in all points of sale and boost the performance of their merchandising strategies. We provide a collaborative platform for brands to efficiently and instantly execute their in-store merchandising operations, improve the customer experience, and considerably increase sales. - Create & share 2D or 3D guidelines - Execute in-store directives, maximize implementation, monitor stores and collect feedback and data from your stores - Analyze field data, store performances and take decisions to improve your next merchandising cycle Whether in Paris (HQ), Amsterdam, New York, Los Angeles or Singapore, more than 500 brands trust IWD, such as: L’Oréal, Estée Lauder, Richemont, Coty, LVMH, The North Face, Patagonia, Vans, Nike, Hermès, Shiseido, and many more. **Who Is the Company Behind IWD?** - **Seller:** [IWD](https://www.g2.com/sellers/iwd) - **Year Founded:** 2000 - **HQ Location:** Paris, FR - **LinkedIn® Page:** https://www.linkedin.com/company/iwd (109 employees on LinkedIn®) ### 15. [Kepler Analytics](https://www.g2.com/products/kepler-analytics/reviews) More than just a People Counter, the Kepler Analytics Retail Sales Improvement System is specifically designed to increase sales conversion, customer satisfaction, and decrease operating costs across your retail network. Know exactly what to do to achieve daily sales targets with Kepler analytics as your store performance command centre. Kepler Analytics allows your to measure sales, shopfront and fitting room conversion rates with affordable, easy-to-install store sensors. You can also monitor individual stores, regions or custom store groups directly from a mobile app while forecasting which stores are unlikely to achieve daily targets in real-time and address areas that need operational improvements before the day ends. We allow for strict control access by store and regional managers based on business hierarchy meaning that the people who need to know are kept informed without disclosing sensitive business information to unauthorised employees. **Who Is the Company Behind Kepler Analytics?** - **Seller:** [Kepler Analytics](https://www.g2.com/sellers/kepler-analytics) - **Year Founded:** 2015 - **HQ Location:** Melbourne, AU - **LinkedIn® Page:** https://www.linkedin.com/company/kepler-analytics (49 employees on LinkedIn®) ### 16. [Kickbite](https://www.g2.com/products/kickbite/reviews) Future-proof tracking, AI-powered Click & View Attribution, and all necessary integrations to restore trust in data for e-commerce shops. Enable your marketing team to optimize the entire funnel for customer acquisition cost (CAC), customer lifetime value (CLTV), or profitability on ad spend. Leading eCommerce companies like AG1, Ankerkraut and Lucardi use Kickbite on a daily basis **Average Rating:** 4.6/5.0 **Total Reviews:** 5 **Who Is the Company Behind Kickbite?** - **Seller:** [Kickbite](https://www.g2.com/sellers/kickbite) - **Year Founded:** 2020 - **HQ Location:** Berlin, DE - **LinkedIn® Page:** https://www.linkedin.com/company/kickbite/ (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 40% Small-Business #### What Are Kickbite's Pros and Cons? **Pros:** - Insights (4 reviews) - Channel Management (3 reviews) - Informed Decisions (3 reviews) - Attribution Accuracy (2 reviews) - Campaign Management (2 reviews) **Cons:** - Limitations (3 reviews) - Improvement Needed (2 reviews) - Limited Customization (2 reviews) - Attribution Issues (1 reviews) - Complexity (1 reviews) ### What Do G2 Reviewers Say About Kickbite? *AI-generated summary from verified user reviews* **Pros:** - Users value the **detailed insights** from Kickbite, greatly enhancing marketing strategies and improving campaign performance effectively. - Users appreciate the **clear visibility and detailed insights** from Kickbite, enhancing their revenue tracking and marketing strategy. - Users value the **informed decision-making** capabilities of Kickbite, leading to improved marketing strategies and revenue insights. - Users value the **attribution accuracy** of Kickbite, enhancing decision-making and improving marketing strategy effectiveness. - Users value the **transformative campaign management** capabilities of Kickbite, enhancing evaluation and budget allocation for better results. **Cons:** - Users experience **limited customization options** in Kickbite, making it difficult to tailor reports and analyze data effectively. - Users wish for **improved reporting capabilities** in Kickbite, as current options lack customization for meaningful analysis. - Users notice a **limited customization** of features, which hinders tailored analyses and comparison of key performance indicators. - Users find that the **attribution issues** limit their ability to analyze performance effectively over time. - Users find the **complexity in tracking** limits effective analysis of campaign performance due to inconsistent data presentation. #### What Are Recent G2 Reviews of Kickbite? **"[Essential tool for full funnel optimization](https://www.g2.com/survey_responses/kickbite-review-10407105)"** **Rating:** 4.0/5.0 stars *— Joram D.* [Read full review](https://www.g2.com/survey_responses/kickbite-review-10407105) --- **"[Finally a single source of truth](https://www.g2.com/survey_responses/kickbite-review-10416620)"** **Rating:** 4.5/5.0 stars *— Zahari D.* [Read full review](https://www.g2.com/survey_responses/kickbite-review-10416620) --- ### 17. [Link Retail](https://www.g2.com/products/link-retail/reviews) One of the most beneficial and simple processes one can do to optimize their store is to use retail video analytics. This activity allows the cameras that were likely already up to be used for an extra advantage. Important information like shopper flow, heat mapping, and route mapping will supply actionable data that can in turn be used to strategically boost sales. Also, our advanced AI technology will automatically exclude staff from data collection to ensure that they do not throw things off. **Who Is the Company Behind Link Retail?** - **Seller:** [Deniz çetin](https://www.g2.com/sellers/deniz-cetin) - **HQ Location:** Meltzers gate 4, 0257, NO - **LinkedIn® Page:** https://www.linkedin.com/company/linkretail (22 employees on LinkedIn®) ### 18. [Locate AI](https://www.g2.com/products/locate-ai/reviews) LocateAI fine tunes models specific to your business, and iterates through millions of scenarios to pick up on insights which are often completely missed by traditional models. **Who Is the Company Behind Locate AI?** - **Seller:** [LocateAI](https://www.g2.com/sellers/locateai) - **Year Founded:** 2014 - **HQ Location:** San Francisco, US - **Twitter:** @LocateAI (127 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/locateai/ (45 employees on LinkedIn®) ### 19. [Lucky Retail](https://www.g2.com/products/lucky-retail/reviews) Lucky enables brands to visualize real-time inventory at major retail stores and capture retail attribution data with our products. We work with enterprise retailers like Sephora, Nordstrom, and Walgreens as a data partner for their brands. **Who Is the Company Behind Lucky Retail?** - **Seller:** [Lucky](https://www.g2.com/sellers/lucky) - **Year Founded:** 2020 - **HQ Location:** New York, NY - **Twitter:** @luckylabshq (170 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/luckylabshq/ (78 employees on LinkedIn®) ### 20. [Lytty](https://www.g2.com/products/lytty/reviews) LYTTY, is a cutting-edge customer engagement and retail analytics software designed specifically for multi-channel and omni-channel retail businesses. (physical stores as well as Ecommerce ) Just plug in to your Retail software, and we are here to empower business owners like you with comprehensive tools and insights to enhance customer engagement and drive growth. Key features of LYTTY that can greatly benefit your organization: Customer 360-Degree View: Smart AI-Driven Automatic Customer Segmentation: Business Promotion Tools: Lead / in-store waling conversion : Issue Tracking and Resolution: Seamless Integration: **Who Is the Company Behind Lytty?** - **Seller:** [Lytty Ventures Pvt Ltd](https://www.g2.com/sellers/lytty-ventures-pvt-ltd) - **Year Founded:** 2023 - **HQ Location:** Bangalore, IN - **LinkedIn® Page:** https://www.linkedin.com/company/lyttyventures/about/ (5 employees on LinkedIn®) ### 21. [M2E Pro](https://www.g2.com/products/m2e-pro/reviews) M2E Pro is a powerful multichannel e-commerce solution that connects Magento(Adobe Commerce)-based stores with major global marketplaces. It allows merchants to manage product listings, inventory, and order fulfillment directly from their Magento admin panel, eliminating the need for manual data entry or multiple tools. With M2E Pro, sellers can easily list and sync products on Amazon, eBay, and Walmart & M2E Connect supports TikTok Shop, Temu, Shein, Otto, Kaufland, and OnBuy marketplaces. Real-time inventory and price synchronization help prevent overselling and ensure accurate data across all channels. M2E Pro also works seamlessly with services like Amazon Repricer and M2E Analytics, thereby extending its functionality to include pricing automation, sales insights, and broader platform integration. Additionally. The system supports a wide range of marketplaces, including TikTok Shop, Temu, Shein, Otto, Kaufland, and OnBuy, making it a central hub for diverse e-commerce strategies. M2E Pro is ideal for sellers who want full control, automation, and integration without leaving Magento. **Who Is the Company Behind M2E Pro?** - **Seller:** [M2E Pro](https://www.g2.com/sellers/m2e-pro) - **Year Founded:** 2007 - **HQ Location:** United Kingdom of Great Britain - **Twitter:** @m2epro (567 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/m2ecompany (54 employees on LinkedIn®) ### 22. [Mapular Consumer Analytics](https://www.g2.com/products/mapular-consumer-analytics/reviews) Smarter Consumer Analytics, Location Strategy, and Geomarketing — in One Unified Platform The best product at the wrong location won’t sell - that’s why Mapular Consumer Analytics helps retail and D2C brands make smarter, revenue-driven decisions about where to open stores, how to boost marketing ROI, and when to expand — all powered by real-world location and consumer behavior data. With Mapular Consumer Analytics, you can: Capture First-Party Demand Connect real signals from your store locator, CRM, campaigns, and in-store activity — to understand what your customers want, and where they want it. Combine with Location Intelligence Enrich your internal data with external sources like foot traffic, competitor locations, demographics, and regional trends — to see the full picture. Act on Real-World Insight Spot underperforming stores, uncover demand hotspots, and predict ROI across locations, products, and channels. Simulate and Predict with Digital Twin Modeling Test store openings, product launches, and marketing campaigns before spending budget — with a virtual twin of your real-world business. See How Online Drives Offline Track how store locator searches and digital engagement turn into foot traffic and in-store revenue — closing the attribution gap between digital and physical. What Sets Us Apart: Built for Retail and D2C — Not Repurposed BI Purpose-built for consumer brands — not a generic BI tool forced to fit retail. Every feature solves real-world challenges in location strategy, marketing attribution, and store performance. Real-Time, Omnichannel View See the entire customer journey — from online searches to in-store purchases — on one unified, map-based dashboard. Predictable, Proven ROI Run simulations before you spend. Forecast campaign and store performance to reduce risk and avoid costly expansion mistakes. Scalable, Modular Platform Start simple with store locator analytics. Scale into campaign simulation, consumer journey insights, and expansion planning — all without a heavy IT lift. Privacy by Design Fully GDPR-compliant and built on anonymous, first-party behavioral data — ensuring strategic insights without compromising user privacy. **Who Is the Company Behind Mapular Consumer Analytics?** - **Seller:** [Mapular](https://www.g2.com/sellers/mapular) - **Year Founded:** 2023 - **HQ Location:** Berlin, DE - **LinkedIn® Page:** https://www.linkedin.com/company/mapular (11 employees on LinkedIn®) ### 23. [MarketDial](https://www.g2.com/products/marketdial/reviews) MarketDial is the leader in offline A/B testing for brick-and-mortar retail. Businesses use MarketDial's software to design and analyze any in-store experiment. MarketDial’s customized tests allow any retail professional to answer critical questions about their business. Such as: How well will this new product perform in my site? Will my promotion drive incremental sales? If I raise the price on select items, will it drive away my customers? Did our investment in new site signage draw in new business? Did our new employee training program drive higher sales or CSAT? MarketDial is a software solution that is unlike any other. It’s designed to be easy for anyone to create, implement, and analyze an accurate in-store test. **Who Is the Company Behind MarketDial?** - **Seller:** [MarketDial](https://www.g2.com/sellers/marketdial) - **Year Founded:** 2016 - **HQ Location:** Salt Lake City, US - **LinkedIn® Page:** https://www.linkedin.com/company/marketdial/ (34 employees on LinkedIn®) ### 24. [Mastercard SpendingPulse](https://www.g2.com/products/mastercard-spendingpulse/reviews) Make informed business decisions with Mastercard SpendingPulse™ SpendingPulse™ is a macroeconomic indicator of retail sales based on actual, near real-time spend data across various sectors. It’s one of the only data sources on the market that provides daily online and in-store sales estimates and forecasts at the national, regional and local level. **Who Is the Company Behind Mastercard SpendingPulse?** - **Seller:** [Mastercard](https://www.g2.com/sellers/mastercard) - **Year Founded:** 1966 - **HQ Location:** Purchase, NY - **Twitter:** @Mastercard (491,448 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mastercard/ (49,372 employees on LinkedIn®) - **Ownership:** NYSE - New York Stock Exchange ### 25. [Mastercard Test & Learn](https://www.g2.com/products/mastercard-test-learn/reviews) Test, analyze, optimize Whether it’s a store remodel or a loyalty offer, Test & Learn® empowers business leaders to improve new and existing initiatives by designing and analyzing in-market business experiments. By using our analytics platform, businesses can understand the overall incremental impact of an initiative, the most effective aspects of the initiative, the types of customers or markets that respond best, and how to target rollout to maximize ROI. **Who Is the Company Behind Mastercard Test & Learn?** - **Seller:** [Mastercard](https://www.g2.com/sellers/mastercard) - **Year Founded:** 1966 - **HQ Location:** Purchase, NY - **Twitter:** @Mastercard (491,448 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mastercard/ (49,372 employees on LinkedIn®) - **Ownership:** NYSE - New York Stock Exchange ## What Is Retail Analytics Software? [Retail Software](https://www.g2.com/categories/retail) ## What Software Categories Are Similar to Retail Analytics Software? - [Demand Planning Software](https://www.g2.com/categories/demand-planning) - [Retail Assortment Planning Software](https://www.g2.com/categories/retail-assortment-planning) - [Online Marketplace Optimization Tools](https://www.g2.com/categories/online-marketplace-optimization-tools) - [E-Commerce Analytics Software](https://www.g2.com/categories/e-commerce-analytics) - [Retail Pricing Software](https://www.g2.com/categories/retail-pricing) - [Retail Execution Software](https://www.g2.com/categories/retail-execution) - [Retail Intelligence Software](https://www.g2.com/categories/retail-intelligence) --- ## How Do You Choose the Right Retail Analytics Software? ### What You Should Know About Retail Analytics Software ### What is Retail Analytics Software? Retail analytics software empowers retail businesses by providing insights into all aspects of the store using various business intelligence data, such as sales figures, inventory levels, customer data, supply chain, etc. It also helps clean and organize inconsistent data sets and visualize them on a single intuitive retail dashboard for easy understanding and interpretation. Retail insights drawn from this software help retailers accurately target customer needs in order to offer the right products at the right price at the right time. To do that, retail analytics platforms provide scope to analyze the performance of each retail metric at a granular level. These tools also influence marketing decisions by uncovering valuable insights related to consumer behavior and helping marketers design customer-based loyalty programs. ### What are the Common Features of Retail Analytics Software? The following are some core features within retail analytics systems that can help retailers find the best solution for their business analysis needs: **Data collection:** Retail analytics tools help collect data from different sources, such as retail point of sale (POS) software, retail management systems, etc., in whichever form they are. The retail analytics tool integrates with these systems and helps with automated exports instead of manual collection by internal sales teams. **Data cleansing:** The raw data received in the collection process goes through data cleansing to ensure accuracy and consistency. The retail analytics system deals with erroneous data by identifying incorrect or duplicate data, deleting the messy data, and then arranging the dataset in the appropriate format. **Data analysis:** This feature of retail analytics software uses clean data and delivers useful insights and information in the form of different visualization dashboards such as tables, graphs, pie charts, etc., with the help of advanced artificial intelligence (AI) and machine learning (ML). These insights are later used to discover trends, predict outcomes, and make better business decisions. ### What are the Benefits of Retail Analytics Software? Retail analytics solutions are beneficial to retailers, suppliers, and customers. The information derived from the retail data uncovers areas for improvement and optimizes the customer experience at the store. Here’s how all the stakeholders benefit from software: **Offers retailers a competitive advantage:** Retail analytics software can help retailers understand customer behavior and formulate strategies specific to individual stores. It automates the process of gathering, cleaning, and analyzing data, which was a tedious task. A retailer using analytics tools has a competitive advantage over its peer dependent on guesswork. Insights from the data also help retailers with competitive benchmarking, improve marketing return on investment (ROI), optimize in-store operations, and enhance customer loyalty. **Improves suppliers’ product management processes:** Retailers are not the only ones who benefit from retail analytics tools. Suppliers also use historical retail data to plan and forecast demand, plan inventory management, see which specific product line is outperforming others in a region, and introduce new products catering to consumer needs. It also helps them plan future campaigns as a marketing initiative and pushes their product to prospective retailers. **Boosts customer experience:** Customers are the indirect beneficiaries of the insight drawn with retail analytics tools. Retailers continuously strive to improve customer experience by creating eye-catching store layouts, discounts on merchandise, loyalty programs, and improved customer engagement. Customers feel happy, become repeat customers, and bring new customers on board, pleased by the unique experience retailers try to provide. ### Who Uses Retail Analytics Software? Managers from different departments of a retail organization use this software for better decision making. Here’s a list of a few personnel who often use this software.  **Retail store managers:** Store managers use retail analytics software to track and measure the performance of respective stores on a monthly, quarterly, and yearly basis.  **Analytics managers:** Analytics managers do data mining and draw actionable insights using various retail data analytics methodologies such as big data, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. **Brand or marketing managers:** Brand or marketing managers use retail analytics platforms to monitor brand performance through sales data and track consumer behavior and trends, which allow them to strategize marketing campaigns and loyalty programs. #### Software Related to Retail Analytics Software Related solutions that can be used together with retail analytics software include other retail software such as: [Retail POS systems](https://www.g2.com/categories/retail-pos) **:** Retail analytics systems easily integrate with retail POS software. Retail POS software is used in the day-to-day operations of a store for tasks like creating a sales order, finding product and customer information, billing, etc. It stores a vast amount of relevant information that can be exported to retail analytics software for analysis purposes. [Retail pricing software](https://www.g2.com/categories/retail-pricing) **:** Retail pricing software helps formulate the best pricing strategy for products and seamlessly integrates with analytics software. Some of the retail pricing tools come with analytics features that can do the job of retail analytics as a standalone product. However, some advanced analytics software must work in conjunction with the host software to get the best result. ### Challenges with Retail Analytics Software Retail analytics software comes with its own set of challenges. **Cost of purchase:** Small to medium-sized retailers might find it difficult to purchase this software from a cost point of view. Since most of these tools are subscription based, there is a recurring bill associated with them. Also, most small to medium retailers are unorganized businesses with the absence of streamlined functions, where procuring such tools could be inconsequential. **Software integration:** Retail analytics platforms need to be integrated with multiple types of retail software, such as retail POS, retail management, etc., to export data and analyze. A significant risk that arises during software integration is incompatibility, which leads to the inability to perform important functions. **Data security and privacy:** Data security and privacy are major concerns for multinational corporations. Retailers gather several data sets such as customer names, mobile numbers, and email IDs for their vested interests. Any sort of data leakage from such tools could be a nightmare for the retailer and might affect the overall brand reputation in the market. ### How to Buy Retail Analytics Software #### Requirements Gathering (RFI/RFP) for Retail Analytics Software Requirement gathering ensures that the software has all the features a business needs. It helps to understand the right tools required to perform critical task processes without wasting time figuring out how to do it. It also helps to ask critical questions about the need for the software. For example, retail analytics solutions help analyze retail data and present insights, but the buyer should also know if there is enough data to process and how these insights will help the existing position of the retail business. #### Compare Retail Analytics Software Products **Create a long list** A long list helps refine software products with must-have retail analytics features such as data gathering, cleansing, and analysis. Buyers can add to the list software that functions as a standalone product or integrates into existing systems, such as retail management or retail POS. Some other things to consider while creating a long list could be the product's popularity, the price offered for product add-ons, schemes for upgrading, and 24/7 customer service support. **Create a short list** A short list narrows down the long list of buyers and helps them make a constructive decision on which software to opt for. Shortlists are more specific to the exact need of the buyer mapped with the features offered by the product. For example, buyers looking for cloud-based retail analytics software must not keep software installed on-premises on the short list. **Conduct demos** Demos are an essential part of the entire software implementation process. It ensures that the retail analytics software is running smoothly and is compatible with the existing business system. It allows buyers to ask questions about the software's features and ensures the retail analytics vendor is entirely transparent about the product offerings. #### Selection of Retail Analytics Software **Choose a selection team** A team comprised of in-house IT personnel, project managers, heads of departments, retail experts, and end users must be part of the selection process. Along with senior management, this selection team is responsible for selecting the right software and checking the entire retail analytics software onboarding process. Buyers can also outsource technical consultants with domain-specific expertise to give constructive recommendations and suggestions in this process. **Negotiation** To successfully negotiate, the buyer must carefully analyze the final offering provided by two or more vendors. There are chances that vendors might offer similar software with similar features. In this case, the only differentiator may be the price provided by the vendor. The deciding factor during final selection in case of similar pricing might depend on product add-ons, unique customization, customer support post implementation, etc. **Final decision** In most cases, the senior management or head of the department decides to select the software after carefully going through all the documented insights provided by the team during the product testing process. It is also important to investigate all the vendor's terms and conditions beforehand to avoid last-minute confusion. ### Implementation of Retail Analytics Software **How is Retail Analytics Software Implemented?** Buyers can implement retail analytics software at any point in the retail journey. The vendor’s IT team and the buyer’s selection team are responsible for the implementation. If the retail analytics software is installed on-premises, the implementation team should ensure it doesn’t affect retail operations. **Who is Responsible for Retail Analytics Software Implementation?** The selection team is usually responsible for the implementation process since they know the business requirements and how the new software can help. Service engineers and technical experts from the vendor’s side also collaborate with the selection team and address real-time issues during implementation. **What Does the Implementation Process Look Like for Retail Analytics Software?** The retail analytics software implementation process varies depending on the type of software installed, cloud based or on-premises. Cloud-based software is easy to install and can be accessed from anywhere. On-premises software needs existing infrastructure on which it is installed and can be accessed only within the premises. **When Should You Implement Retail Analytics Software?** A buyer can implement this software at the start of the retail business or after making a strong presence in the market. Also, selecting an ideal time for the installation process of the retail analytics software is essential to avoid interference with daily retail operations.