# Best Retail Intelligence Software - Page 3

  *By [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)*

   Retail intelligence software helps retailers improve revenue and operations by delivering insights and advanced analytics. This software gathers, manages, and analyzes retail and e-commerce data from multiple sources, such as internal (software such as e-commerce platforms), external (e-commerce marketplaces), and industry benchmarking data provided by third parties.

The data is obtained through integration, parsing, and scraping. Artificial intelligence (AI) and machine learning (ML) are used to clean and analyze data for competitive intelligence, market analysis, brand protection, and pricing optimization.

This type of software is used by retailers that sell online, in-store, and through distribution networks. It can be used in consumer packaged goods (CPG) and durable goods to navigate the high volume of products and transactions.

Retail intelligence software integrates with [business intelligence software](https://www.g2.com/categories/business-intelligence) to help users further analyze the data and create personalized visualizations.

To qualify for inclusion in the Retail Intelligence category, a product must:

- Combine retail and e-commerce data from multiple sources
- Update, cleanse, and validate data regularly
- Provide technology such as AI and ML for advanced analytics
- Deliver dashboards and customizable reports to monitor performance
- Create industry benchmarking and consumer behavior trends





## Category Overview

**Total Products under this Category:** 124


## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 3,700+ Authentic Reviews
- 124+ 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 Intelligence Software At A Glance

- **Leader:** [Stackline](https://www.g2.com/products/stackline/reviews)
- **Highest Performer:** [Intellicus](https://www.g2.com/products/intellicus/reviews)
- **Easiest to Use:** [ContactPigeon](https://www.g2.com/products/contactpigeon/reviews)
- **Top Trending:** [Replenit](https://www.g2.com/products/replenit/reviews)
- **Best Free Software:** [Crisp Data Platform](https://www.g2.com/products/crisp-data-platform/reviews)

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [CB4](https://www.g2.com/products/cb4/reviews)
  CB4;s software leverages your POS data to detect in-store operational issues affecting items with high local demand, helping your team capture lost sales. This results in better customer experience, higher sales, fewer expensive, time-consuming store walks, and more time focusing on the highest ROI tasks.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 5.0/10 (Category avg: 8.3/10)
- **Ease of Setup:** 9.2/10 (Category avg: 8.9/10)
- **Correction:** 8.3/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [CB4](https://www.g2.com/sellers/cb4)
- **Year Founded:** 2012
- **HQ Location:** Herzliya, IL
- **LinkedIn® Page:** https://www.linkedin.com/company/c-b4-ltd/ (48 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 25% Mid-Market


  ### 2. [EDITED](https://www.g2.com/products/edited/reviews)
  EDITED is the world’s leading retail intelligence solution that empowers softline retailers across apparel, footwear, accessories, and homeware to make data-driven decisions with unparalleled speed and precision through advanced AI technology. EDITED uniquely delivers a holistic and contextualized view of performance by combining competitor, internal company, and customer segment data into one proprietary AI-powered platform. This connection of data enables retailers to break through silos, democratize data across teams, and make decisions that are market-informed, profit-aware, and customer-centric. With the current economic climate, rapidly changing trends, increased digitalization, and customer demand for hyper-personalization, success in the retail landscape is increasingly difficult to attain. EDITED addresses these challenges by unifying disconnected data sets and translating them into actionable insights through cutting-edge technology. Our platform integrates data from multiple sources to provide retailers with contextualized intelligence that informs: 1. Assortment 2. Pricing 3. Site Merchandising Retailers gain a clear, connected view of their business in the context of market dynamics and customer expectations, allowing for faster, smarter decisions that drive profitability. EDITED’s platform not only identifies opportunities but also automates complex processes, reducing manual workloads and optimizing performance throughout the product lifecycle -- from pre-season planning to in-season trading to post-season hindsighting. Our AI processes over 170 million products daily – 10 times more than just a few years ago. This scale, combined with the team’s unmatched retail expertise allows the solution to deliver multi-dimensional intelligence tailor-made for a retailer’s specific needs. This is how the world’s most innovative retailers, including PUMA, Tommy Hilfiger, Diesel, Ann Taylor, and the Arcadia Group, stay ahead of the competition.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Ease of Setup:** 5.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [EDITED](https://www.g2.com/sellers/edited)
- **Year Founded:** 2009
- **HQ Location:** London, England, United Kingdom
- **Twitter:** @edited_hq (9,149 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/edited/ (236 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


  ### 3. [HALO](https://www.g2.com/products/halo-range-solutions-halo/reviews)
  HALO is a bulletproof Business Management Platform (BMP) that lives in the cloud. The BMP integrates a strategic approach to every revenue generating aspect of your business.


  **Average Rating:** 3.8/5.0
  **Total Reviews:** 3


**Seller Details:**

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

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


  ### 4. [Rockerbox](https://www.g2.com/products/rockerbox/reviews)
  Rockerbox empowers marketers from launch to scale, helping them easily see and evaluate channel effectiveness. We’ve built our platform for smart marketers to help them spend, analyze, scale, test, and market smarter. Rockerbox helps you to execute better in-channel optimizations and stop wasting money on channels that aren’t performing. We take the frustration out of constructing clean, actionable data, empowering you to accomplish your goals without the need for additional technical resources. No one methodology is perfect, that’s why Rockerbox uses multiple. We incorporate rule-based attribution, multi-touch attribution, halo analysis, geo lift, in-channel testing, incrementality, and media mix modeling to give you the most complete and accurate view of your customer journey.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 46

**User Satisfaction Scores:**

- **Ease of Setup:** 7.8/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [DoubleVerify](https://www.g2.com/sellers/doubleverify)
- **Year Founded:** 2008
- **HQ Location:** New York, US
- **Twitter:** @doubleverify (6,098 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/745720/ (1,314 employees on LinkedIn®)
- **Ownership:** NYSE: DV

**Reviewer Demographics:**
  - **Top Industries:** Retail, Consumer Goods
  - **Company Size:** 55% Mid-Market, 43% Small-Business


  ### 5. [Sweet Analytics](https://www.g2.com/products/sweet-analytics/reviews)
  Sweet Analytics, at the centre of all your data. Sweet connects with all the marketing platforms that you know and love and brings it all under one roof. Helping you understand customer retention and acquisition to drive your business forward. What we do... Customer Data To understand your customers you first need to understand all their interactions. Armed with a deep understanding of each of our customers, Sweet Analytics can help you to reach them more effectively with our unique personalisation tools. Single Customer View At the heart of Sweet Analytics is one of the most advanced Single Customer Views in the market. Using all available integrations we build a complete customer profile for all interactions with your brand, which are made readily available through our dashboards. Sweet Tracker™ Our proprietary technology allows us to unify browsing behaviour with Single Customer View, providing impartial attribution and linking sales to web interactions. With the ability of real-time interventions and cross-device tracking we can deliver personalised customer journeys. Attribution Tackling the Holy Grail of marketing Sweet provides the single point of truth between the reality of sales and the mendacity of marketing platforms. Helping you more accurately judge the ROI of your marketing investment.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 17

**User Satisfaction Scores:**

- **Validation:** 10.0/10 (Category avg: 8.3/10)
- **Ease of Setup:** 9.4/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Sweet Analytics](https://www.g2.com/sellers/sweet-analytics)
- **Year Founded:** 2018
- **HQ Location:** Avaland House, 110 London Road, Apsley, Hemel Hempstead, England, HP3 9SD
- **LinkedIn® Page:** https://www.linkedin.com/company/sweetanalytics/ (17 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Retail
  - **Company Size:** 71% Small-Business, 24% Mid-Market


#### Pros & Cons

**Pros:**

- AI Technology (1 reviews)
- Alerts (1 reviews)
- Analytics (1 reviews)
- Analytics Expertise (1 reviews)
- Customer Engagement (1 reviews)

**Cons:**

- Bug Issues (1 reviews)
- Data Inaccuracy (1 reviews)
- Data Inconsistency (1 reviews)
- Data Management (1 reviews)
- Inaccuracy (1 reviews)

  ### 6. [AcuitySpark](https://www.g2.com/products/acuityspark/reviews)
  AcuitySpark is an AI-powered data analytics platform designed to empower businesses in the retail, merchandising, finance, and marketing sectors. By integrating seamlessly with systems like Dynamics 365 F&O, Dynamics 365 Commerce, Salesforce Commerce Cloud, Magento, BazaarVoice, Shopify, KWI, and Google Analytics, AcuitySpark enables organizations to harness advanced analytics and artificial intelligence. This facilitates informed decision-making based on a comprehensive understanding of customers, products, and operations. Key Features and Functionality: - AI-Driven Customer Insights: Utilizes machine learning to predict customer churn, analyze customer lifetime value, and perform advanced segmentation based on visit recency, frequency, and monetary value. - Inventory Optimization: Ensures optimal inventory levels by providing accurate forecasts, aligning safety stocks, and minimizing risks associated with overstocking or stockouts. - Sales and Operational Intelligence: Offers extensive sales analytics with a comprehensive set of metrics and KPIs to evaluate product performance across various organizations and locations. - Market Basket Analysis: Identifies products frequently purchased together, determines core item frequency and affinity, and calculates the probability of single-transaction product sales. Primary Value and Solutions Provided: AcuitySpark addresses the challenge of fragmented data by consolidating information from multiple sources to create a unified customer view. This comprehensive perspective enables businesses to design customer-centric promotions and campaigns, offer personalized products and services at the right time, and optimize operations by bridging the gap between insights and action. By leveraging AcuitySpark, organizations can enhance customer engagement, improve satisfaction, and drive business growth through data-driven strategies.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2


**Seller Details:**

- **Seller:** [Visionet Systems](https://www.g2.com/sellers/visionet-systems)
- **Year Founded:** 1995
- **HQ Location:** Cranbury, New Jersey
- **Twitter:** @Visionet (618 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/visionet-systems-inc-/ (3,468 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


  ### 7. [Ivy Recommender](https://www.g2.com/products/ivy-recommender/reviews)
  Ivy Recommender is an AI/ML-based guided sales application layer that sits on top of our unified commercial platform, your sales force makes data-driven decisions on the go. Our native Guided Sales Solution provides intelligent and smart recommendations for each store, like must-sell lines, next-best SKU to sell to a customer, optimal stock level recommendation, predicted order quantity, and more. Your field force sells more to a customer and outdoes the competition. Easy integration with all our solutions gets you up and running quickly.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 50% Small-Business


  ### 8. [MetricsCart](https://www.g2.com/products/metricscart/reviews)
  MetricsCart is a marketplace intelligence platform for ecommerce teams and agencies managing consumer goods and durables categories.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [MetricsCart](https://www.g2.com/sellers/metricscart)
- **HQ Location:** MA, US
- **Twitter:** @metricscart (1 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/metricscart (5 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market


#### Pros & Cons

**Pros:**

- Competitive Analysis (1 reviews)
- Customizability (1 reviews)
- Dashboard Customization (1 reviews)
- Helpful (1 reviews)


  ### 9. [MondaySmart](https://www.g2.com/products/mondaysmart/reviews)
  MondaySmart® is a GenAI business intelligence solution that streamlines Monday morning reviews. It integrates data, automates analyses, and delivers actionable insights. The intuitive chatbot lets users access insights by asking questions, enabling faster decision-making. With MondaySmart®, users understand what’s happening and why. -Unified Reporting for Multiple Personas Including Key Executives -Decomposition Tree to Help Dissect & Analyze KPIs -Virtual Business Analyst to Ask Questions and Get Insights Easily in Natural Language -Causal AI-Driven Intelligent Insights for Any Level of Business -Automated Generation of Performance Summaries and Causal Insights Using GenAI -Visualizations Highlighting Key Segments for Business Interventions


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Correction:** 8.3/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [Impact Analytics](https://www.g2.com/sellers/impact-analytics)
- **Year Founded:** 2015
- **HQ Location:** New York, US
- **LinkedIn® Page:** https://in.linkedin.com/company/impact-analytics (786 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 50% Mid-Market


  ### 10. [retailMetrix](https://www.g2.com/products/retailmetrix/reviews)
  RetailMetrix is a full data analytics platform for retailers with the mission of enabling retailers to get value from their data. We process and store sales, labor and customer data using state of the art data warehouse technologies. Our dashboards and reports allow retailers to easily find the data that matters to them, saving them time and enabling them to make better data driven decisions.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 10.0/10 (Category avg: 8.3/10)
- **Correction:** 10.0/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [retailMetrix](https://www.g2.com/sellers/retailmetrix)
- **Year Founded:** 2020
- **HQ Location:** Portland, US
- **LinkedIn® Page:** https://www.linkedin.com/company/81527839 (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market


  ### 11. [SiteRise](https://www.g2.com/products/siterise/reviews)
  With SiteRise, you can streamline your entire retail planning process, empowering your team with the tools and power to make informed decisions. No more guessing or wasting time on scattered information. SiteRise brings all your teams together, from design to construction to marketing, ensuring everyone is on the same page. Our software platform, built on years of actual retail development experience and 1,000s of successful locations, provides a single source of truth. Say goodbye to the noise and hello to focused, on-time delivery. Take control of your retail store planning with SiteRise and watch your business soar!


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Ease of Setup:** 9.2/10 (Category avg: 8.9/10)
- **Correction:** 10.0/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [SiteRise ](https://www.g2.com/sellers/siterise)
- **Year Founded:** 2022
- **HQ Location:** San Jose , US
- **LinkedIn® Page:** https://www.linkedin.com/company/the-oak-group-llc/ (21 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 25% Small-Business


#### Pros & Cons

**Pros:**

- Customization (1 reviews)
- Ease of Use (1 reviews)
- Helpful (1 reviews)
- Integrations (1 reviews)
- Organization (1 reviews)


  ### 12. [SPINS](https://www.g2.com/products/spins/reviews)
  Product intelligence for retailers: assortment decisions based on ingredients, nutritional elements, and lifestyles motivating shoppers


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Data Types:** 7.5/10 (Category avg: 8.4/10)
- **Validation:** 9.2/10 (Category avg: 8.3/10)
- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)
- **Correction:** 10.0/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [SPINS](https://www.g2.com/sellers/spins)
- **Year Founded:** 1995
- **HQ Location:** Chicago, Illinois, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/spins (523 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 50% Mid-Market


  ### 13. [SPS Commerce Analytics](https://www.g2.com/products/sps-commerce-analytics/reviews)
  SPS Analytics is a decision optimization platform that transforms fragmented retail sales, inventory, and item performance data into a clear, connected foundation teams can act on. It enables suppliers and brands to improve forecasting, inventory allocation, promotions, pricing, and retailer collaboration with trusted, decision-ready insight.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 18

**User Satisfaction Scores:**

- **Data Types:** 10.0/10 (Category avg: 8.4/10)
- **Validation:** 10.0/10 (Category avg: 8.3/10)
- **Ease of Setup:** 8.3/10 (Category avg: 8.9/10)
- **Correction:** 10.0/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [SPS Commerce](https://www.g2.com/sellers/sps-commerce)
- **Company Website:** https://www.spscommerce.com
- **Year Founded:** 1987
- **HQ Location:** Minneapolis, MN
- **LinkedIn® Page:** https://www.linkedin.com/company/15345/ (3,352 employees on LinkedIn®)
- **Ownership:** NASDAQ:SPSC

**Reviewer Demographics:**
  - **Top Industries:** Apparel & Fashion, Sporting Goods
  - **Company Size:** 50% Enterprise, 40% Mid-Market


  ### 14. [VIWOR](https://www.g2.com/products/viwor/reviews)
  VIWOR is a company specializing in upcycled wood products, offering a range of handcrafted items that blend sustainability with functionality. Their featured product, the Luna Round Coffee Table, exemplifies their commitment to eco-friendly design and quality craftsmanship. Key Features and Functionality: - Upcycled Materials: VIWOR utilizes reclaimed wood, reducing environmental impact and promoting sustainable practices. - Handcrafted Quality: Each product is meticulously crafted, ensuring durability and a unique aesthetic appeal. - Functional Design: Products like the Luna Round Coffee Table are designed to be both practical and stylish, fitting seamlessly into various home decors. Primary Value and User Solutions: VIWOR addresses the growing consumer demand for sustainable and ethically produced home furnishings. By transforming reclaimed wood into functional art pieces, they offer customers the opportunity to furnish their homes with products that are both environmentally responsible and aesthetically pleasing. This approach not only reduces waste but also provides unique, high-quality items that stand out in the market.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Data Types:** 7.5/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)
- **Correction:** 8.3/10 (Category avg: 8.4/10)


**Seller Details:**

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

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


  ### 15. [Aptos Analytics](https://www.g2.com/products/aptos-analytics/reviews)
  Aptos is a provider of analytics, business intelligence and warehousing solutions for retailers that includes inventory balance, price management, order management, allocation, replenishment and more.


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


**Seller Details:**

- **Seller:** [Aptos](https://www.g2.com/sellers/aptos)
- **HQ Location:** Alpharetta, Georgia, United States
- **Twitter:** @Aptos_Retail (1,786 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/aptos-retail (765 employees on LinkedIn®)

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


  ### 16. [Clavis Insight](https://www.g2.com/products/clavis-insight/reviews)
  Clavis' proprietary technology automates online store monitoring, at scale, so that teams can focus on taking actions


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Data Types:** 10.0/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Correction:** 8.3/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [Clavis Insight](https://www.g2.com/sellers/clavis-insight)
- **Year Founded:** 2014
- **HQ Location:** Baltimore, Maryland, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/flywheel-digital (1,622 employees on LinkedIn®)

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


  ### 17. [eyos](https://www.g2.com/products/eyos/reviews)
  Our AI platform enables FMCG Brands with granular market intelligence, targeted marketing automation, and data-driven sales optimization, especially in independent trade channel that attracts the majority of grocery shopping trips in the Asian markets.


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

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Correction:** 6.7/10 (Category avg: 8.4/10)


**Seller Details:**

- **Seller:** [Eyos Singapore](https://www.g2.com/sellers/eyos-singapore-3965ca4c-3205-4510-8879-353ebda17bcc)
- **Year Founded:** 2014
- **HQ Location:** Singapore, SG
- **LinkedIn® Page:** https://www.linkedin.com/company/eyosretailgrowth (28 employees on LinkedIn®)

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


  ### 18. [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

**User Satisfaction Scores:**

- **Data Types:** 8.3/10 (Category avg: 8.4/10)
- **Validation:** 8.3/10 (Category avg: 8.3/10)
- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)
- **Correction:** 10.0/10 (Category avg: 8.4/10)


**Seller Details:**

- **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®)

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


  ### 19. [invent.ai AI-Decisioning Platform](https://www.g2.com/products/invent-ai-ai-decisioning-platform/reviews)
  𝗜𝗻𝘃𝗲𝗻𝘁.𝗮𝗶 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗿𝗲𝘁𝗮𝗶𝗹 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗱𝗿𝗶𝘃𝗲𝘀 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗴𝗿𝗼𝘄𝘁𝗵, 𝗺𝗮𝗿𝗴𝗶𝗻 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗶𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆. Invent.ai’s AI-decisioning platform turns hundreds of internal and external demand signals into real-time, revenue-optimized decisions across forecasting, planning, inventory and pricing, automatically executing them across the merchandise lifecycle for meeting customer demand. Retailers see measurable financial gains within months, including comp growth, EBIT improvement and increased revenue, all validated with machine learning and historical data analyses. Invent.ai’s AI-decisioning platform includes: 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 Delivers more accurate, revenue-focused forecasts with intelligent decisioning that helps demand planners continuously adapt as (hundreds of) demand signals evolve. Invent.ai combines long- and short-term demand forecasting, demand sensing, open-to-buy forecasting and financial planning—helping retailers improve forecast accuracy, align inventory to demand and plan with confidence across all product portfolio management needs: top-down, bottom-up and middle-out. 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 Transforms planning from static, rules-based processes into clear, explainable and actionable decisions. Invent.ai supports assortment, collection, item and range planning as part of supply chain management, along with size and pack optimization, clustering and buy planning—helping retailers balance customer demand, financial targets and operational constraints, growing despite market trends while also reducing manual effort. 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 Optimizes inventory placement and flow across every channel. Invent.ai enables intelligent allocation, replenishment, transfers, rebalancing, omni-fulfillment optimization, phantom inventory mitigation and returns positioning—helping retailers reduce over- and under-stocking, improve availability and increase inventory productivity. 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 Protects margin and improves sell-through with intelligent pricing decisions across the product lifecycle, invent.ai supports competitive pricing, dynamic pricing, promotion optimization and markdown optimization—allowing retailers to respond to market conditions in real time while maximizing revenue and profitability. Invent.ai is an advanced AI-decisioning platform, built around the end-to-end demand planning process. We create more efficient and accurate product assortment, sales forecasts, product lines and more with our proprietary AI technology with a strong root in retail analytics. Our history and statistical forecasting that protects retail margin at every level is key to effective demand planning, inventory management and pricing needs.


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


**Seller Details:**

- **Seller:** [ invent.ai (formerly Invent Analytics)](https://www.g2.com/sellers/invent-ai-formerly-invent-analytics)
- **Company Website:** https://www.invent.ai
- **Year Founded:** 2013
- **HQ Location:** Philadelphia, PA USA
- **LinkedIn® Page:** https://www.linkedin.com/company/invent-analytics (327 employees on LinkedIn®)

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


#### Pros & Cons

**Pros:**

- Forecasting Accuracy (1 reviews)
- Inventory Management (1 reviews)
- Time-saving (1 reviews)

**Cons:**

- Missing Features (1 reviews)

  ### 20. [Label Insight](https://www.g2.com/products/label-insight/reviews)
  Label Insight helps consumers understand what is in the products they use and consume and provides product transparency through data science.


  **Average Rating:** 3.0/5.0
  **Total Reviews:** 1


**Seller Details:**

- **Seller:** [Label Insight](https://www.g2.com/sellers/label-insight)
- **Year Founded:** 1923
- **HQ Location:** Chicago, Illinois, United States
- **Twitter:** @labelinsight (1,094 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/nielseniq/ (25,769 employees on LinkedIn®)

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


  ### 21. [Limitless Insights](https://www.g2.com/products/limitless-insights/reviews)
  Limitless provides a location aware data platform that combines location store & social data in a light to no touch cloud platform. By combining location and sales data limitless connects the customer in store to their transactions. Also digitising the customer experience and driving digital campaigns to physical redemption.


  **Average Rating:** 3.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Ease of Setup:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Limitless Insights](https://www.g2.com/sellers/limitless-insights)
- **Year Founded:** 2017
- **HQ Location:** BELFAST, GB
- **LinkedIn® Page:** http://www.linkedin.com/company/limitless-insight (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


  ### 22. [Minderest](https://www.g2.com/products/minderest/reviews)
  Minderest is a sophisticated Price & Catalogue Intelligence solution designed to assist businesses in optimizing their pricing strategies. As a leader in this field, Minderest provides retailers and manufacturers with the tools necessary to gain real-time insights into competitor pricing, ensuring that pricing policies are effectively enforced across distribution networks. With a strong presence in over 40 countries and a client base exceeding 400 companies, Minderest has established itself as a trusted partner for organizations looking to enhance their pricing operations. The target audience for Minderest primarily includes retailers and manufacturers, particularly those with extensive and complex product portfolios. These businesses face the challenge of navigating competitive pricing landscapes while maintaining profitability. By utilizing Minderest's advanced technology, companies can monitor competitor prices in real-time, allowing them to make informed decisions that align with their pricing strategies. This capability is essential for businesses aiming to remain competitive in a rapidly evolving market. Minderest's platform is distinguished by its proprietary technology, which is developed in-house by a team of expert engineers. The integration of advanced Artificial Intelligence, including Machine Learning and Deep Learning models, enhances the platform's ability to address real-world pricing challenges. This robust technological foundation allows Minderest to tailor its solutions to meet the unique needs of each client, providing a level of customization that is particularly beneficial for enterprise-level companies. Key features of Minderest include comprehensive price tracking, automated reporting, and analytics that provide actionable insights. These features enable users to identify pricing trends, monitor market fluctuations, and adjust their strategies accordingly. The platform not only facilitates a significant increase in revenue—reported at 5-10% for many clients—but also offers a remarkable return on investment, with an average ROI of 9.8 times. Additionally, users can save up to 80% of the time typically spent on manual pricing analysis, allowing them to focus on strategic initiatives that drive growth. Minderest stands out in the Price Intelligence category by offering a combination of innovative technology, tailored solutions, and a commitment to helping clients achieve their pricing objectives. As businesses continue to face pricing pressures and competition, Minderest equips them with the intelligence and tools necessary to thrive in the marketplace.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Ease of Setup:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Minderest](https://www.g2.com/sellers/minderest)
- **Year Founded:** 2012
- **HQ Location:** Murcia, ES
- **Twitter:** @minderest_en (150 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/minderest (104 employees on LinkedIn®)

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


  ### 23. [Noogata](https://www.g2.com/products/noogata/reviews)
  Noogata’s AI eCommerce platform empowers CPGs and digital brands with strategic insights and competitive intelligence to outperform competitors on Amazon. With a powerful AI growth assistant, it’s now simple for eCommerce professionals or teams, to discover and extract relevant insights, take action and measure performance growth across your digital shelf. The world's first AI assistant for Amazon delivers insights, competitive alerts and growth-focused recommendations in one simple feed. For large teams, Noogata lets you plan, strategize, assign tasks and take action in one platform. Today, anyone can grow their Amazon business with the power of AI. No guesswork, no stress, only the insights that make a positive impact. Unlock the power of AI for Amazon growth: - Get insights and strategies you can act on to positively impact your brand - Locate competing brands and monitor market share for your digital shelf - Optimize product content to drive organic conversion and increase visibility - Capitalize on search trend opportunities ahead of your competitors - Understand how your product contends against relevant competing products - Reverse engineer advertising strategies to increase ROI and reduce ACoS Discover how you can unlock sales hyper-growth, improve digital shelf performance and grow your Amazon business with the power of AI.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 3


**Seller Details:**

- **Seller:** [Noogata](https://www.g2.com/sellers/noogata)
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **LinkedIn® Page:** https://www.linkedin.com/company/noogata (11 employees on LinkedIn®)

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


  ### 24. [Norna Analytics](https://www.g2.com/products/norna-analytics/reviews)
  Take the chance to see the World�s most powerful analytics platform for fashion retail. We excel at price, discount and assortment analytics, and we track the bestselling products of your competitors. Powered by Norna�s massive AI models.


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


**Seller Details:**

- **Seller:** [Norna Analytics AB](https://www.g2.com/sellers/norna-analytics-ab)
- **Year Founded:** 2018
- **HQ Location:** Stockholm, SE
- **LinkedIn® Page:** https://www.linkedin.com/company/norna (29 employees on LinkedIn®)



  ### 25. [Rakuten Intelligence](https://www.g2.com/products/rakuten-intelligence/reviews)
  Rakuten Intelligence lets you zoom into your online retail strategy. Get a closer look at the online shopper, faster.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Ease of Setup:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Rakuten Advertising](https://www.g2.com/sellers/rakuten-advertising)
- **Year Founded:** 1996
- **HQ Location:** San Mateo, CA
- **Twitter:** @rakutenadvert (15,768 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9866/ (872 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 50% Small-Business




## 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 Analytics Software](https://www.g2.com/categories/retail-analytics)



---

## Buyer Guide

### What You Should Know About Retail Intelligence Software

### What is Retail Intelligence Software?

Retail intelligence software helps retailers think beyond retail analytics solutions. Retail intelligence software is not only beneficial for retail businesses to collect and measure data from multiple sources such as [retail pos systems](https://www.g2.com/categories/retail-pos), [retail management systems](https://www.g2.com/categories/retail-management-system), [retail IoT devices](https://www.g2.com/categories/retail-iot), [e-commerce platforms](https://www.g2.com/categories/e-commerce-platforms), [marketplaces](https://www.g2.com/categories/marketplace), etc., but it also creates data-driven models that can learn on its own. [Artificial intelligence (AI)](https://www.g2.com/categories/artificial-intelligence) and [machine learning (ML)](https://www.g2.com/categories/machine-learning) help glean information from unstructured data, images, and videos to provide retailers with crucial business insights, helping them understand trends and make more accurate predictions.

Retail intelligence software is mainly used by consumer packaged goods (CPG) and the retail industry because of the large volumes of diverse data. It arms retailers with real-time, granular data that helps streamline operations, increase profits, and deliver exceptional customer experiences. It analyzes stockouts, shelf space usage, share of each product, and in-store displays and measures the effectiveness of promotions.

### What are the Common Features of Retail Intelligence Software?

The following are some core features within retail intelligence software that can help retailers find the best solution to discover actionable insights:

**Omnichannel data integration:** Retail intelligence software connects data from across the entire enterprise. It provides uniform, frictionless integration across thousands of data sources from any system, including inventory management, point of sale, ERP, and CRM. The ability to save time and energy by automating the data collection, organization and storage process is an important function of the system.

**Real-time data processing and insights:** With the power of AI and ML, retail intelligence solutions process data as soon as it is collected and uploaded to the database. It allows real-time access to key KPIs, such as sales, inventory levels, pricing, and more. The intelligence system cleanses, validates, analyzes, and forecasts the data to create easily digestible reports for managers, decision-makers, and stakeholders.

**Reporting using customizable dashboards:** It empowers retail business users to visualize and analyze data through intuitive dashboards. Retail intelligence tools are equipped with capabilities to create beautiful dashboards that allow users to explore patterns in data and tell a more visual story. Data-rich visualizations take reporting and analytics to the next level and provide businesses with deeper insights into what’s happening at the moment.

### What are the Benefits of Retail Intelligence Software?

Retail intelligence 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 this software:

**Track customer movement:** Identifying where customers are coming from is an essential feature of retail intelligence tools. It helps businesses discover how consumers find their products and websites, such as through referrals or email campaigns. It also allows retailers to run hyper-personalized customer campaigns based on their demographics. 

**Track customer spending:** Retailers leverage retail intelligence platforms to track customer spending patterns and behaviors through loyalty programs. It also allows retailers to devise loyalty programs based on customer purchase history and provide rewards and personalized offerings to improve customer engagement further. 

**Deliver personalized shopping experiences:** With the help of customer behavior data, retail intelligence platforms enable retailers to create unique experiences tailored to individual customers. From the first visit to post-checkout, retailers have the opportunity to personalize every step of the customer journey.

**Gain visibility into supply chain:** A retail intelligence platform in conjunction with a retail POS system or retail inventory management system allows retailers to see what's happening in the supply chain. It helps to track the movement and storage of raw materials, work-in-process inventory, finished goods, and end-to-end order fulfillment of the business. Using supply chain data, these tools recommend the best ways to optimize the supply chain and address related issues.

**Design campaigns and retargeting:** The tool helps design and run targeted marketing campaigns based on customer behavior and measure their effectiveness. Offline retail stores can plan and create trade promotions in retail stores to promote their product and services. Online retailers can see whether marketing campaigns are working and consumers click on links, open emails, etc.

**Monitor social media behavior:** Retail intelligence software helps retailers monitor social media behavior using sentiment analysis to track product ratings. Data from social media monitoring can be analyzed on retail intelligence platforms to gain insights about a brand, product, competitors, industry, and a lot more.

### Who Uses Retail Intelligence Software?

Analysts or managers from different retail and CPG industries use this software to carry out daily routine analytical tasks. Here’s a list of a few personnel who often use this software.

**Retail store managers:** Store managers use retail intelligence software to track and measure store KPIs such as footfalls, sales, inventory counts, etc., on a monthly, quarterly, and yearly basis.

**Analytics managers:** Analytics managers implement data mining to draw actionable insights using various algorithms and modeling techniques such as big data, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics using retail intelligence tools.

**Brand or marketing managers:** Brand or marketing managers use retail intelligence platforms to monitor brand performance through sales data. It helps to track consumer behavior and trends, which allows them to strategize marketing campaigns and loyalty programs.

### What are the Alternatives to Retail Intelligence Software?

The following alternative software can partially or completely replace retail intelligence tools:

[Retail analytics](https://www.g2.com/categories/retail-analytics): Retail analytics software empowers retail businesses by providing insights into all aspects of the store using business intelligence data, such as sales figures, inventory levels, customer data, supply chain data, etc. It is a close alternative to retail intelligence platforms and can be used interchangeably. It mainly helps clean and organize inconsistent data sets and visualize them on a single intuitive retail dashboard for easy understanding and interpretation. A software named retail analytics and business intelligence tools includes features of both analytics and intelligence platforms.

#### Software Related to Retail Intelligence Software

Related solutions that can be used together with retail intelligence software include other retail software such as:

[Retail POS systems](https://www.g2.com/categories/retail-pos) **:** Retail intelligence software can be integrated with retail POS systems to pull out sales data, inventory data, customer purchase history, etc., for data analysis and insight generation.

[Retail pricing software](https://www.g2.com/categories/retail-pricing) **:** Retail pricing software helps retailers analyze the pricing of products and develop product pricing strategies. Retail intelligence solution further helps in analyzing and optimizing pricing data.

[Trade promotion management software](https://www.g2.com/categories/trade-promotion-management) **:** Retail intelligence software also collaborates with trade promotion software to measure the performance of trade promotions. Intelligent dashboards help track the progress and performance of promotional activities in a retail store.

[Retail IoT software](https://www.g2.com/categories/retail-iot) **:** Retail IoT devices like optimal staffing level indicators, movement tracking systems, cashier-less payment systems, smart carts, etc., can be integrated with retail intelligence software to analyze the data from these devices and recommend unique points for improvement of in-store operations.

### Challenges with Retail Intelligence Software

Retail intelligence solutions can come with their own set of challenges. 

**Software integration:** Retail intelligence platforms need to be integrated with multiple types of retail software, such as retail POS, retail management, etc., to export and analyze data. A significant risk during software integration is incompatibility, which leads to the inability to perform important functions.

**Software expertise:** Intelligence tools are difficult for laymen to understand and operate. Tools like these need a good understanding of data, and some data analytics skills are an added advantage. Companies need to ensure that they invest in resource capacity building or hire resources with specific skill sets before investing in such software.

**Software subscription:** Most retail intelligence solutions are cloud-based and available to buyers on a subscription model. The challenge to buyers is the recurring cost associated with the software. While enterprises might not find it an issue, small and mid-size retail companies may face an issue with allocating a specific budget to avail software features every year.

### How to Buy Retail Intelligence Software

#### Requirements Gathering (RFI/RFP) for Retail Intelligence Software

Requirement gathering ensures that the software has all the features a business needs. When selecting retail intelligence software, it is important to first look at how the business operates and then familiarize oneself with the different types of software available. It also helps to ask critical questions about the need for the software. For example, retail intelligence solutions help analyze complex retail data and present insights, but the buyer should also know if there is enough data to process and how these insights will help improve the existing position of the retail business.

#### Compare Retail Intelligence Software Products

**Create a long list**

Depending on the industry, the buyer might want to create a long list of software designed to help businesses. A long list always helps buyers select the right software from many products available for retail intelligence. A long list must consist of products that include metrics like product popularity, the price offered for product add-ons, schemes for upgrading, and round-the-clock customer service support.

**Create a short list**

A short list narrows down the long list of buyers and helps in constructive decision-making on which software to opt for. Short lists are more specific to the exact need of the buyer mapped with the features offered by the product and generally whittle down the long list based on the budget. For example, buyers looking for cloud-based retail intelligence software must not keep the software installed on-premises on the short list or only select software within the company’s IT budget.

**Conduct demos**

Demos are an essential part of the entire software implementation process. It ensures that the retail intelligence software is running smoothly and is compatible with the existing business system. It helps meet realistic expectations from the product. During demos, buyers should ask specific questions about the functionalities they care about most. For example, one might ask to be walked through data importing and exporting, tracking features, how to create dashboards and visualization, how to integrate with other software, or how to look at real-time retail data.

#### Selection of Retail Intelligence Software

**Choose a selection team**

A team 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 intelligence software onboarding process. Buyers can also outsource technical consultants with domain-specific expertise to give constructive recommendations and suggestions in this process.

**Negotiation**

The negotiation process can happen upon receiving a price quote from the vendor. To successfully negotiate, the buyer must keep in mind the available budget to purchase the software and ask the vendor for some discounts in return for an annual upfront payment. Sometimes, a software provider may offer unlimited usage or add-ons if the buyers pay upfront instead of in installments. A successful negotiation means a courteous and constructive interaction that is a win-win for both parties.

**Final decision**

The final decision should be based on all the information gathered, features offered, and a price agreed upon by both parties involved in the purchasing process of the product. Senior management or the head of the department should decide to select the software after carefully going through all the information provided by the vendor team. Businesses should keep in mind to choose the solution that meets most of, if not all, their requirements. Later, they can upgrade to the premium version anytime.