# Best Retail Analytics Software - Page 6

  *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&#39; 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





## Category Overview

**Total Products under this Category:** 223


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 3,900+ Authentic Reviews
- 223+ 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.


## Best Retail Analytics Software At A Glance

- **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:** [LEAFIO AI Retail Platform](https://www.g2.com/products/leafio-ai-retail-platform/reviews)
- **Top Trending:** [Crisp Data Platform](https://www.g2.com/products/crisp-data-platform/reviews)
- **Best Free Software:** [Crisp Data Platform](https://www.g2.com/products/crisp-data-platform/reviews)


## Top-Rated Products (Ranked by G2 Score)
  ### 1. [Autonomo Technologies](https://www.g2.com/products/autonomo-technologies/reviews)
  Autonomo Technologies is a deep tech company specializing in autonomous store solutions that enhance both customer experience and retailer efficiency. By leveraging proprietary computer vision technology, Autonomo eliminates traditional checkout processes, allowing customers to tap their card or phone, select their products, and exit the store seamlessly. This innovation is designed to revolutionize convenience shopping by simplifying operations and increasing customer satisfaction.




**Seller Details:**

- **Seller:** [Autonomo Technologies](https://www.g2.com/sellers/autonomo-technologies)
- **Year Founded:** 2021
- **HQ Location:** Hamburg, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/autonomo-gmbh/ (53 employees on LinkedIn®)



  ### 2. [Avantalytics](https://www.g2.com/products/avantalytics/reviews)
  Avantalytics is a comprehensive, fully managed retail analytics platform providing secure harmonized data storage, forecasting, demand planning, sales analytics, automated ordering, field sales management, time tracking, competitive intelligence tracking, weather analytics, demographics and more.




**Seller Details:**

- **Seller:** [Avantalytics](https://www.g2.com/sellers/avantalytics)
- **Year Founded:** 2011
- **HQ Location:** Arlington, US
- **LinkedIn® Page:** https://www.linkedin.com/company/avantalytics/ (4 employees on LinkedIn®)



  ### 3. [Bold Metrics](https://www.g2.com/products/bold-metrics/reviews)
  Bold Metrics is the leading AI solution for apparel retailers and brands looking to boost conversion, reduce returns and elevate the retail experience around sizing. Bold Metrics technology enables brands to build a scalable library of shopper digital twins, unlocking the power of body data to meet the demands of today&#39;s increasingly personalized world by empowering data-led technical design while improving sustainability efforts. Bold Metrics partners with apparel brands and retailers to focus on improving their consumer’s online shopping experience, driving eCommerce sales, minimizing returns, and establishing their credibility as environmentally responsible companies. Bold Metrics’ product suite offers accurate, scalable solutions that are easily integrated and tailored to fit the needs of any brand. What sets Bold Metrics apart as a leading AI solution provider for the apparel retail industry Tailor-accurate body measurement predictions: Bold Metrics has spent years building and training detailed machine learning models for predicting body measurements at a high level of accuracy without requiring the customer to measure themselves or take photos of their bodies while wearing tight-fitted clothing. Customers complete a simple survey to get accurate size recommendations based on individual fit preferences. Providing detailed information on how a garment fits: While providing a size recommendation alone is helpful to shoppers, understanding where the garment is loose or tight on their body gives the customer the chance to make their final sizing decision based on their unique fit preference. Actionable data for brands and retailers: For the first time, apparel brands and retailers can know the body measurements of their actual shoppers. This data can be leveraged to change how brands make their clothes (moving from assumption-based to data-based design), provide key supply chain optimizations, and improve other business areas where this data provides valuable insights. Low-friction onboarding/integration: By providing products through both an API (Virtual Tailor + Sizer) and a Javascript snippet (Smart Size Chart), Bold Metrics can easily integrate onto a myriad of eCommerce platforms and apps requiring limited resources from the client. Bold Metrics Products Virtual Tailor The gold standard for algorithmic body measurement prediction. Trusted by custom clothiers worldwide, the Virtual Tailor is proven to predict over 50 body measurements at a similar level of accuracy to a Master Tailor, with no measuring tape required. Harnessing our proprietary machine learning models to accurately predict body measurements without requiring your customer to take photographs of themselves in tight-fitted clothing. Customers answer four to six simple questions (no measuring tape required), and the Virtual Tailor API returns over fifty body measurements in under 500ms. Why use Virtual Tailor? Accuracy – the Virtual Tailor has been proven to be the most accurate solution on the market in countless studies. Easy to Integrate – our API works with every platform, from Hybris Demandware and Magento to Shopify; your developer will love how easy it is to get started with the Virtual Tailor. Scalable – from 100 to 1 billion monthly predictions; like all our products, the Virtual Tailor was built for scale. White-label experience – no branding requirements, completely seamless integration with your site’s look and feel. Virtual Sizer The fit backbone, solving fit at scale. Meet the Virtual Sizer, our flagship solution that powers fit at some of the largest brands in the world. Gone are the days of recommending the same size in every style; with the Virtual Sizer, you can help shoppers find the right size in the right style based on their unique fit preference. Why use Virtual Sizer? Tailored To Fit - Size can vary by style. Two different styles of jeans can have two different fits, which means two different sizes for some shoppers. Only the Virtual Sizer can help your shoppers find the right size and style based on their unique fit preferences. Sizing made personal - The Virtual Sizer provides detailed information about where garments are loose and tight across the body so your customer can choose a size based on how they like clothes to fit. Customized Recommendations - Leverage purchase and returns data to constantly update recommendations based on your shopper’s behavior and the impact different fits and fabrics have on sizing decisions. Proven Results - The Virtual Sizer is proven to increase conversion rates and decrease return rates. Proven results with clients see an average return rate reduction of 32%, making Bold Metrics a top choice for apparel brands championing sustainability. Smart Size Chart We’re all different, so it’s no surprise that we all like things to fit differently. Go beyond simple size recommendations and allow shoppers to visually see where clothes are tight and loose on their bodies so they can decide based on their unique fit preference. For example, a size 6 shirt might fit a customer best across all garment dimensions but may be tight around the stomach area. Some customers might be okay with this, others might want to see how the next size up fits; the Smart Size Chart makes this possible at the touch of a button. Why use a Smart Size Chart? Accurately predict over 50 body measurements and map to your specific garment data and relevant points of measure. Allow your shoppers to compare different sizes and pick their best fit based on personal fit preferences. Just four to six simple inputs are required (none that need a measuring tape). Easy to add to any existing eCommerce experience by simply copying and pasting a snippet of code. Contactless Fit Contactless Fit™ replicates the fitting room experience so customers can try on one size, then another, compare, and pick what fits them best according to personal fit and style preferences. Your dressing room just went digital. Along with recommending a size, Contactless Fit™ also replicates the fitting room experience, allowing customers to understand how different sizes would fit on their bodies without the need for physical try-on. Why use Contactless Fit? Give your customers an easy way to compare sizes and pick what fits them best based on their unique fit preferences. Contactless Fit™ gives tailor-level accuracy without photos. Four to six simple inputs are required (none needing a measuring tape). Give your in-store staff the tools they need to complement their expertise and allow them to provide a great experience around fit and sizing. iPads, touchscreen displays, robots - it’s all compatible with Contactless Fit™, so you can get started immediately without buying new hardware. Introducing a stand-alone point-of-sale solution with quick and easy scalable deployment to provide your customers with an end-to-end fit experience.




**Seller Details:**

- **Seller:** [Bold Metrics](https://www.g2.com/sellers/bold-metrics)
- **Year Founded:** 2017
- **HQ Location:** San Francisco, US
- **Twitter:** @boldmetrics (3,002 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/boldmetrics/about/ (25 employees on LinkedIn®)



  ### 4. [bops Collaborative Inventory Intelligence Platform](https://www.g2.com/products/bops-collaborative-inventory-intelligence-platform/reviews)
  Consumer brands of all sizes use bops&#39; Collaborative Inventory Intelligence Platform to streamline their CPFR process. We synchronize inventory flow with consumer demand, helping consumer brands avoid stockouts, phantom inventory, and excess inventory through improved collaboration with their retail trade partners (Walmart, Target, Kroger, etc.) and internal supply chain teams.




**Seller Details:**

- **Seller:** [bopsAI](https://www.g2.com/sellers/bopsai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)



  ### 5. [Bright Insights](https://www.g2.com/products/bright-insights/reviews)
  As the insights product of Bright Data, we leverage the unparalleled scale, technology, and global reach of the world’s largest data collection platform. Our unique access empowers brands &amp; retailers of all kinds to gain comprehensive, real-time insights into online markets and competitors, driving unparalleled competitive advantage. With Bright Insights, you can leverage data-driven eCommerce insights with unparalleled data coverage. Gain a competitive edge by tracking competitors&#39; performance, market share, and new products. Control your category, stay ahead of trends, and optimize e-commerce operations to help you Grow online sales and manage stock levels effortlessly.




**Seller Details:**

- **Seller:** [bright data](https://www.g2.com/sellers/bright-data)
- **Year Founded:** 2014
- **HQ Location:** Greater Tel Aviv, IL
- **LinkedIn® Page:** https://www.linkedin.com/company/bright-data/ (329 employees on LinkedIn®)



  ### 6. [Brij](https://www.g2.com/products/brij-2025-05-09/reviews)
  Brij is the only omnichannel marketing tool that enables consumer brands to connect with ALL of their customers, even those across &#39;offline&#39; channels like retail, Amazon and other third party marketplaces. Brands use Brij’s digital rebates, sweepstakes, QR code experiences and dynamic links to drive retail velocity, share content, and collect valuable zero &amp; first-party data.&amp;nbsp;Brands also utilize Brij&#39;s product registration &amp; warranty management to drive more data collection &amp; customer insights. Take advantage of turn key integrations like Shopify, Klaviyo, Attentive and more that&#39;ll connect your tech stack.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 6

**User Satisfaction Scores:**

- **Ease of Admin:** 9.2/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Brij](https://www.g2.com/sellers/brij-3d270ce7-1048-4cd5-b6eb-9e39f67aaba0)
- **Year Founded:** 2020
- **HQ Location:** New York, US
- **Twitter:** @brijforbrands (312 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/brij-it/ (52 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Comprehensive Information (1 reviews)
- Content Management (1 reviews)
- Customer Engagement (1 reviews)
- Customer Experience (1 reviews)
- Customer Support (1 reviews)


  ### 7. [buybuddy](https://www.g2.com/products/buybuddy/reviews)
  Buy Buddy is a revolutionary IoT solution transforming the retail industry. We offer cutting-edge smart tags that provide real-time insights into physical customer engagements within brick-and-mortar stores. As the #1 platform in this space, Buy Buddy is uniquely positioned to optimize conversions by unlocking a new level of understanding of consumer behavior. Our technology captures and analyzes data from customers&#39; natural interactions with products, such as when a customer picks up an item, walks with it, or spends time examining it. These metrics inform strategies to enhance the shopping experience and drive conversion. Buy Buddy&#39;s solution bridges the gap between online and offline retail, enabling a seamless, personalized, and highly engaging shopping experience that maximizes marketing ROI. Join us in redefining retail and driving your business growth with smart data.




**Seller Details:**

- **Seller:** [buybuddy](https://www.g2.com/sellers/buybuddy)
- **Year Founded:** 2018
- **HQ Location:** London, GB
- **Twitter:** @heybuybuddy (83 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/buy-buddy/ (15 employees on LinkedIn®)



  ### 8. [Buyer&#39;s Toolbox Cube](https://www.g2.com/products/buyer-s-toolbox-cube/reviews)
  Cube is out-of-the-box BI/OLAP for Toolbox users. Featuring a visual performance dashboard, a custom KPI builder, and integrations with our planning software, it offers a flexible turnkey solution for sophisticated data insights.




**Seller Details:**

- **Seller:** [ANT USA](https://www.g2.com/sellers/ant-usa)
- **Year Founded:** 1992
- **HQ Location:** Acton, MA
- **LinkedIn® Page:** https://www.linkedin.com/company/ant-usa-inc (8 employees on LinkedIn®)



  ### 9. [Buyer&#39;s Toolbox Forecast](https://www.g2.com/products/buyer-s-toolbox-forecast/reviews)
  With easy integration into our planning solutions, high accuracy, and, of course, ease-of-use, Toolbox Forecast gives you what you need to see the storm coming before it arrives, giving valuable insights into Margin and Price Optimization, Promotion Impact, Cannibalization, Affinity, Lost Sales/Demand Forecasting, and more!.




**Seller Details:**

- **Seller:** [ANT USA](https://www.g2.com/sellers/ant-usa)
- **Year Founded:** 1992
- **HQ Location:** Acton, MA
- **LinkedIn® Page:** https://www.linkedin.com/company/ant-usa-inc (8 employees on LinkedIn®)



  ### 10. [Centric Planning](https://www.g2.com/products/centric-planning/reviews)
  Centric Software® is the AI-innovator behind the market-leading Retail Planning and Analytics platform, Centric Planning™, that is blazing the trail for brands and retailers across the consumer goods industry. Headquartered in the heart of Silicon Valley, Centric Software has shattered the mould to create state-of-the-art AI-driven digital solutions to satisfy the needs of every player in the market, large and small, and supports their mission to develop high-quality products that are on time, on trend and in the right distribution channel. All Centric’s solutions utilize AI technology to support companies in their pursuit to bring sustainable products to market, faster. Centric Planning supercharges retail planning with an AI-driven suite of highly configurable modules that enable planners, merchandisers and buyers to make more informed and strategic choices about assortments, financial targets and inventory allocation. Centric Planning’s interconnected modules are flexible, highly configurable and span the entire retail planning process from pre-season to end-of-season, including; Merchandise Financial Planning, Assortment Planning &amp; Buying, Range Planning (Assortment Strategy &amp; Optimization), Store Allocation &amp; Replenishment, Supply Planning, Wholesale Demand Planning, and the Centric Visual Boards™; Visual Assortment Planning and Visual Omnichannel Showroom. In addition to a native integration to other Centric Software solutions; Centric Planning users can benefit from a wide variety of integrations with 3rd party solutions including PLMs, eCommerce tools, ERPs, PIMs, POS systems, SCM, WMS, 3PL systems and more. Built to be fast, easy and smart; Centric Planning is available via agile deployment and Centric Software’s seamless implementation methodology, ensuring that 100% of customers go live. Centric proudly maintains a 100% Go-Live rate due to its scalable solutions for brands, retailers and manufacturers in six verticals – Fashion &amp; Apparel/Outdoor, Cosmetics &amp; Personal Care, Consumer Electronics, Home &amp; Furniture and Consumer Goods – Centric prioritizes its clients’ growth and business development. Centric is trusted by major brands such as Guess, Bestseller, Replay, Saint Laurent, Trespass, Acne Studios, Triumph, Sloggi, Only, United Colors of Benetton, Gap China, Calvin Klein, Tommy Hilfiger and many more. Centric is proud to provide the best AI-driven solution, backed by the best team to service the best customers.




**Seller Details:**

- **Seller:** [Centric Software](https://www.g2.com/sellers/centric-software-d8c48b12-db67-42fe-b798-24afe25eb26f)
- **Year Founded:** 2004
- **HQ Location:** Campbell, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/centric-software/ (1,445 employees on LinkedIn®)



  ### 11. [Churchill Team Edition](https://www.g2.com/products/churchill-team-edition/reviews)
  Predictive analytics solution for medium to large retailers that is focused on identification, prediction and recommendation.




**Seller Details:**

- **Seller:** [Al-Based Retail Analytics Churchill System](https://www.g2.com/sellers/al-based-retail-analytics-churchill-system)
- **Year Founded:** 1989
- **HQ Location:** Novi, US
- **LinkedIn® Page:** https://www.linkedin.com/company/churchill-systems-inc/ (7 employees on LinkedIn®)



  ### 12. [Circana](https://www.g2.com/products/circana/reviews)
  With Market Insight, you have a real-time view of where you lag behind competitors across all retail and online metrics, such as sales in dollars, units sold, inventory, content, pricing, and ratings &amp; reviews. With millions of data points across 3,000+ variables monitored at the store level using proprietary business intelligence




**Seller Details:**

- **Seller:** [Circana](https://www.g2.com/sellers/circana)
- **Year Founded:** 2023
- **HQ Location:** Chicago, Illinois, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/wearecircana/ (6,105 employees on LinkedIn®)



  ### 13. [Cognira](https://www.g2.com/products/cognira/reviews)
  Ditch complicated spreadsheets and gain deep understanding of every promotion effectiveness, ROI for smarter, data-informed future promotions




**Seller Details:**

- **Seller:** [Cognira](https://www.g2.com/sellers/cognira)
- **HQ Location:** Atlanta, US
- **LinkedIn® Page:** https://www.linkedin.com/company/cognira/ (102 employees on LinkedIn®)



  ### 14. [Data Bunker](https://www.g2.com/products/data-bunker/reviews)
  Data Bunker es la plataforma All-in-One de Pricing Inteligente y Optimización de Precios con IA diseñada para empresas de retail, farmaceutica y consumo masivo que buscan mejorar su rentabilidad y tomar decisiones basadas en datos. Nuestra solución integra monitoreo de precios, inteligencia competitiva y análisis de pricing avanzados en una sola plataforma, permitiendo a los equipos monitorear precios y promociones de la competencia en canales digitales y puntos de venta físicos. Centralizamos datos de mercado y los transformamos en insights accionables mediante dashboards interactivos y KPIs a nivel país, ciudad, zona e incluso tienda. ¿Por qué Data Bunker? Porque combinamos mejor calidad de datos con velocidad de ejecución. Nuestra plataforma unifica el monitoreo competitivo con capacidades avanzadas como: Modelo de elasticidad de Precios Análisis de canibalización Optimización de precios y márgenes Forecasting de demanda Análisis de estacionalidad dinámica Esto permite a las empresas mejorar su revenue growth management (RGM), optimizar estrategias de pricing y reaccionar rápidamente a cambios del mercado. Además, Data Bunker se integra fácilmente con tus herramientas, permitiendo operar directamente sobre tus flujos de datos y ecosistema analítico actual. Con Data Bunker, transformas datos de precios en decisiones estratégicas que impulsan crecimiento y rentabilidad. Conoce más en data-bunker.ai




**Seller Details:**

- **Seller:** [Data Bunker](https://www.g2.com/sellers/data-bunker)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://linkedin.com/company/data-bunker/ (1 employees on LinkedIn®)



  ### 15. [Dataviva Planning Solutions](https://www.g2.com/products/dataviva-planning-solutions/reviews)
  Dataviva is a next-generation integrated retail planning platform that unifies merchandising, demand forecasting, inventory, and supply chain planning in one solution. It combines an advanced planning workflow with real-time data and AI-driven recommendations, helping retailers optimize everything from assortments to replenishment. Built as a low-code, extensible system, Dataviva can overlay on existing IT infrastructure with minimal disruption. This means planners, buyers, and merchandisers get a single source of truth for plans without lengthy integrations or batch updates. The result is a collaborative, continuously updated planning environment that drives faster decisions and more agile responses to market changes.




**Seller Details:**

- **Seller:** [Dataviva](https://www.g2.com/sellers/dataviva)
- **Year Founded:** 2020
- **HQ Location:** Atlanta , US
- **LinkedIn® Page:** https://www.linkedin.com/company/dataviva (22 employees on LinkedIn®)



  ### 16. [decile](https://www.g2.com/products/decile/reviews)
  Illuminate opportunities to drive incremental value with every step of the customer journey by bringing together your first-party data and hundreds of enrichment attributes. Identify high-value customer personas and the products that resonate with them to guide acquisition efforts. Improve retention with a deeper understanding of your customer’s lifecycle. Activate your learnings by syncing data to key marketing platforms.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Ease of Admin:** 5.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [decile](https://www.g2.com/sellers/decile)
- **Year Founded:** 2020
- **HQ Location:** Washington, US
- **LinkedIn® Page:** https://www.linkedin.com/company/decile/ (20 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 17. [Digital Shelf Analytics](https://www.g2.com/products/digital-shelf-analytics/reviews)
  Track your Share of Search and Share of Voice to understand how visible your products are compared to competitors. Improve your Content Quality Score to enhance product listings and boost customer engagement. Optimize Pricing &amp; Promotions to stay competitive and maximize sales. Harness these insights to drive growth and dominate your digital shelf.




**Seller Details:**

- **Seller:** [Actowiz Metrics](https://www.g2.com/sellers/actowiz-metrics)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/actowiz-metrics/ (1 employees on LinkedIn®)



  ### 18. [Dolmen](https://www.g2.com/products/dolmen/reviews)
  The Dolmen Customer Knowledge and Local Customer Marketing platform enables outlets to collect data from their customers and prospects.




**Seller Details:**

- **Seller:** [Dolmen](https://www.g2.com/sellers/dolmen)
- **Year Founded:** 2011
- **HQ Location:** Rennes, FR
- **Twitter:** @dolmentech (1,829 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dolmentech/ (90 employees on LinkedIn®)



  ### 19. [dunnhumby Shop](https://www.g2.com/products/dunnhumby-shop/reviews)
  dunnhumby Shop is a web-based, self-serve platform designed to provide retailers with on-demand shopper insights, enhancing their understanding of customer buying behaviour both in-store and online. Leveraging advanced analytics, dunnhumby Shop equips retailers and CPGs with the insights needed to make informed, data-driven decisions to offer the products, prices and media that customers want. This ultimately improves the customer shopping experience across all touchpoints, driving increased sales and revenue. dunnhumby Shop offers customisable access tailored to your business requirements and specific questions, ensuring you receive the precise data and insights necessary for making customer-centric decisions. Key benefits for retailers include: • Real-time insights into key categories, with a comprehensive suite of reports to monitor and act on performance trends across all hierarchy levels • Relevant data and insights for brand owners concerning their categories and products • A shared view between retailers and brand owners, fostering effective collaboration and a unified customer strategy




**Seller Details:**

- **Seller:** [dunnhumby](https://www.g2.com/sellers/dunnhumby)
- **Year Founded:** 1989
- **HQ Location:** Brook Green, GB
- **Twitter:** @dunnhumby (9,506 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dunnhumby (2,959 employees on LinkedIn®)



  ### 20. [EGoal](https://www.g2.com/products/egoal/reviews)
  EGoal is an advanced, fully unified and automated sales-capturing platform purpose-built for shopping mall and airport retail analytics. Designed with a scalable, service-oriented architecture, it seamlessly captures real-time sales data across diverse retail environments, empowering retailers, landlords, and mall management teams globally with actionable retail analytics. The platform offers a comprehensive suite of data services including occupancy metrics, footfall analytics, digital receipts, and revenue intelligence, all delivered in real time. By consolidating disparate data streams, EGoal enables stakeholders to monitor performance, optimize leasing strategies, and enhance tenant engagement. With its integrated business intelligence (BI) and data analytics engine, EGoal transforms raw sales information into interactive dashboards, visual reports, and advanced analytical models. The system supports automated e-receipts, robust data security, and API-driven interoperability with existing POS and ERP systems—ensuring accuracy, scalability, and operational efficiency for both mall operators and retailers. EGoal’s end-to-end analytics ecosystem delivers data transparency, predictive insights, and decision support, making it an indispensable tool for modern retail and airport environments seeking to maximize revenue and improve customer experiences.




**Seller Details:**

- **Seller:** [Inditech Technologies](https://www.g2.com/sellers/inditech-technologies)
- **Year Founded:** 2008
- **HQ Location:** Dubai, AE
- **LinkedIn® Page:** https://www.linkedin.com/company/inditech-ics-fze/ (51 employees on LinkedIn®)



  ### 21. [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&amp;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.




**Seller Details:**

- **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®)



  ### 22. [Equadis Digital Shelf Analytics](https://www.g2.com/products/equadis-digital-shelf-analytics/reviews)
  Equadis Digital Shelf Analytics (DSA) is a comprehensive solution designed to monitor, analyze, and optimize the online performance of products across various digital sales channels. By providing clear visibility into how products are presented to consumers, DSA enables brands and retailers to enhance their digital presence, ensure content accuracy, and maintain competitive positioning in the e-commerce landscape. Key Features and Functionality: - Product Performance Monitoring: Automatically verifies the accuracy of product content and digital assets, promptly identifying inconsistencies across all online channels. - Search Visibility and Placement Analysis: Measures product visibility in internal search engine results and within product categories, offering insights into search rankings and positioning. - Availability and Assortment Tracking: Continuously monitors product presence with each retailer, providing alerts to prevent stockouts or referencing issues. - Pricing and Promotion Surveillance: Tracks daily price variations and promotional activities across online retailers, enabling strategic adjustments to maintain competitiveness. - Customer Feedback Analysis: Captures and analyzes consumer reviews and ratings, offering actionable insights to refine product offerings and enhance customer satisfaction. - Competitor Benchmarking: Monitors strategic competitors&#39; products, comparing their performance with your own to identify areas for improvement and maintain a competitive edge. Primary Value and User Solutions: Equadis DSA empowers brands and retailers to take control of their online product performance by providing actionable insights into product visibility, content accuracy, pricing strategies, and consumer feedback. This comprehensive oversight allows businesses to: - Enhance Operational Excellence: Anticipate and prevent stockouts, manage pricing and promotions effectively, and ensure legal compliance of product information across all channels. - Build Consumer Trust: Maintain a controlled digital presence with reliable, up-to-date product information, reinforcing product credibility and reassuring customers. - Expand Market Share: Identify growth opportunities by channel, category, or region, facilitating the capture of new segments and accelerating business expansion. - Deliver a Compelling Shopping Experience: Ensure complete, well-positioned, and consistently updated product pages to enhance the customer journey and boost conversion rates. - Strengthen Brand–Retailer Collaboration: Foster smooth and transparent collaboration between brands and retailers, optimizing product presentation, pricing, and availability to serve both sales efficiency and customer satisfaction. By leveraging Equadis Digital Shelf Analytics, businesses can transform the complexities of e-commerce into competitive advantages, ensuring their products achieve optimal online performance and visibility.




**Seller Details:**

- **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®)



  ### 23. [Experian Mosaic Shopper Segments (UK)](https://www.g2.com/products/experian-mosaic-shopper-segments-uk/reviews)
  Experian&#39;s Mosaic Shopper Segments is a specialized consumer segmentation tool designed to help retailers and brands gain a comprehensive understanding of their customers&#39; 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&#39;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.




**Seller Details:**

- **Seller:** [Experian](https://www.g2.com/sellers/experian)
- **Year Founded:** 1826
- **HQ Location:** Dublin, Ireland
- **Twitter:** @Experian_US (38,640 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/experian (25,265 employees on LinkedIn®)
- **Ownership:** LSE: EXPNL



  ### 24. [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.




**Seller Details:**

- **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®)



  ### 25. [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.




**Seller Details:**

- **Seller:** [FREEING RETURNS](https://www.g2.com/sellers/freeing-returns)
- **Year Founded:** 2016
- **HQ Location:** Atlanta , US
- **Twitter:** @freeingreturns (83 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/freeing-returns/about/ (9 employees on LinkedIn®)





## Parent Category

[Retail Software](https://www.g2.com/categories/retail)



## Related Categories

- [E-Commerce Analytics Software](https://www.g2.com/categories/e-commerce-analytics)
- [Retail Pricing Software](https://www.g2.com/categories/retail-pricing)
- [Retail Intelligence Software](https://www.g2.com/categories/retail-intelligence)



---

## Buyer Guide

### 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.&amp;nbsp;

**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.&amp;nbsp;

**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&#39;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&#39;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&#39;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.




