Know every customer, serve every moment

Store-in-a-Box. Customer 360.

Turn omni-channel data into actionable intelligence at scale.

Get a Demo

AI at the Heart of Modern Retail

Accelerating decisions, elevating experiences, and optimizing every moment.

Customer insights

Comprehensive view of customer journeys and preferences.

Hyper Personalization

Targeted marketing campaigns, product recommendations

Supply chain transformation

Order, logistics sync, and capacity planning

Demand transformation

Enhance planning with AI-driven forecasting

Customer insights

Comprehensive view of customer journeys and preferences.

Hyper Personalization

Targeted marketing campaigns, product recommendations

Supply chain transformation

Order, logistics sync, and capacity planning

Demand transformation

Enhance planning with AI-driven forecasting

Sales transformation

Improve profitability by analyzing performance to the product level

Store operations analytics

Optimize resources without compromise

Competitive intelligence

Optimized pricing and merchandising

Retail Marketplace Management

Execution and optimization across Amazon, Walmart, Target, Instacart and more

Sales transformation

Improve profitability by analyzing performance to the product level

Store operations analytics

Optimize resources without compromise

Competitive intelligence

Optimized pricing and merchandising

Retail Marketplace Management

Execution and optimization across Amazon, Walmart, Target, Instacart and more

What we Offer

Unified data. Real-time retail intelligence.

Retail Data Clouds

Powering “Store-in-a-Box” & Customer 360. Turning data lakes into real-time insight machines.

Data Unification & Activation Trend Prediction & GenAI Self-Healing Inventory Agentic AI Tools

Data platforms & Governance

End-to-end platform implementations Snowflake, Data Bricks, GCP and more optimized data ingestion, modeling, and performance tuning.

Retail Analytics Omni-Commerce Digital & GA4 Analytics Customer 360 View

AI/ML/ML Ops

Enabling automated ML lifecycle, scalable deployment, and continuous model monitoring.

Data Sources & Transformations Model Development & AutoML CI/CD & Orchestration Model Serving & Inference

Enterprise ops

Aggregate logs, metrics, and traces into a unified observability platform, Configure threshold + anomaly-based alerts

Digital & GA4 Observability Data Platform Monitoring Infrastructure & Cloud Monitoring Application & API Monitoring

Decision systems

Visualization enabling trusted metrics, self-service analytics, and actionable decisions

BI & Visualization Semantic & Metrics Layer Data Platforms & Sources Advanced Analytics & Embedded Insights

Retail Insights in Numbers.

Because outcomes matter, and accountability sets us apart.

+17.3%

Revenue per visitor (RPV)

+15.5%

Conversation rate (CVR)

+21.5%

Add-to-cart rate (ATC)

44M

Customer engagement opportunities created

95%

Customer retention rate

24%

Click-through rate

Meet the Retail Systems Integrator

Unify retail data, Channels AI, data, applications, and retail services at scale.

Discovery &
Requirements

Build &
Implementation

Data &
Migration

Testing &
Enablement

Go-Live &
Support

Best-in-Class Partners

Powerful Tech. The Latest Trends. Delivered.

Real Customers. Real Results.

“We needed a single, accountable tech partner with deep expertise across commerce, data, and integrations. Since 2022, Retail Insights has delivered measurable, outcome-driven results.”

Chief Information Officer
Large Apparel Group
1/10

“Partnering with Blue Yonder and Retail Insights has transformed our approach to space, assortment, and demand planning. With the right team, we didn’t just meet our goals — we redefined how we work.”

Director of IT Solutions
F&V Retail
2/10

“Our Digital & RI team has delivered a groundbreaking experience that redefines retail personalization. Powered by OpenAI’s LLM, customers now discover meals and shop seamlessly, tailored to their unique tastes and needs.”

Chief Digital Officer
F&V Retail
3/10

“Our online team has reimagined the digital furniture journey with innovative, industry-first features — and the response has been phenomenal. This is just the beginning, with even more immersive, personalized, and inclusive experiences on the horizon.”

VP of Digital & eCommerce
Large Furniture Retail
4/10

“Total Care. Total Control. Managed for Excellence — with CX Monitoring and Splunk, we reduced issue detection time from hours to just 15 minutes, enabling faster root cause identification and resolution.”

IT Director
Large Fashion Retailer
5/10

“Retail Insights built a real-time, scalable data lake with Azure, Snowflake, and Kafka — transforming how we forecast, decide, and act. It's the backbone of our Store-in-a-Box, Customer 360, B2B and AI-driven retail innovation.”

VP of Strategy & Transformation
Large Brand Aggregator
6/10

“Retail Insights redefined our personalization game with AI-powered Marketing, CDP, and CX monitoring — driving Retention, RTO agents . From first click to purchase, we now trigger next-best-actions in every channel.”

Head of Customer Experience & MarTech
Leading Sports Retailer
7/10

“Our custom-built AI DMS agent, trained on 40M+ orders, empowers 500+ distributors with hyperlocal insights, smart catalogs, and automated trade workflows. With Retail Insights, we’ve unified data, automated SFA, and elevated distributor engagement at scale.”

IT Director
Large CPG Company
8/10

“Partnering with TRI, we implemented a scalable microservices architecture across Salesforce, Adobe, and Shopify Plus — enabling seamless, future-ready commerce. API-driven integrations now power real-time sync across OMS, PIM, CMS, inventory, and CRM.”

Chief Technology Officer
Multi-National Pharma Retailer
9/10

“With our Agentic Commerce Personal Shopper Agent, we’ve brought premium, high-touch luxury online—creating deeply personalized experiences that spark real styling conversations and drive full-price conversions. It’s a 24/7 digital associate that truly embodies our brand.”

VP of Digital & eCommerce
Jewelry and Premium Watch Retailer
10/10

Real Customers. Real Results

Case Studies

Retail Data Collaboration | Trade Promotions

Measuring ROI and optimizing promotions through advanced analytics and data-driven modeling.

  • Data & Algorithms: 400M+ records, sales modeling, clustering
  • Storage: Snowflake, Streams & Tasks
  • ML: Snowpark, Python/R, native & external functions
  • Real-Time: Near-real-time processing, benchmarking
Access Case Study

How SAP Migration Modernized Reporting

Centralizing and automating Supply Chain & Procurement reporting with an Azure-based platform.

  • Faster Data: 80% quicker refresh, updates in 5–10 min
  • Centralized Dashboards: Automated Power BI replacing manual reports
  • Unified Reports: 4 reports consolidated into 1 view
  • Data-Driven Decisions: Real-time insights with full SOP compliance
Access Case Study

Retail Execution & Sales Analytics

A large retail enterprise struggled with fragmented outlet visibility, inconsistent execution, and slow decision-making across sales and supply chain operations.

  • Limited real-time visibility into outlet and planogram compliance
  • Inefficient sales force performance tracking
  • Disconnected financial and operational KPIs impacting S&OP
  • Slow response to supply chain disruptions
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Availability and Demand Planning

A large fulfillment and pharmacy retail network needed better visibility and forecasting to manage inventory across thousands of locations.

  • End-to-end inventory and order visibility across 5,000+ stores
  • Proactive inventory optimization with real-time dashboards and alerts
  • Scenario-based planning across demand, cost, and lead-time variables
  • Zip-code–level demand forecasting to support long-term planning
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Omnichannel Data Hub

A large consumer business needed a unified, real-time view of customers to deliver consistent and personalized experiences across channels:

  • Unified real-time customer visibility across online and offline touchpoints
  • AI-driven product recommendations based on behavior and preferences
  • Dynamic customer profiles updated continuously at event speed
  • In-the-moment personalization enabling contextual engagement
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Marketplace, B2B & D2C Integrations

CPG brands struggled with fragmented data across marketplaces, distributors, and direct-to-consumer channels, limiting visibility and decision speed.

  • Single source of truth across marketplace, B2B, and D2C channels
  • Real-time visibility into sales, inventory, and demand signals
  • Unified insights across supply chain and marketing performance
  • Faster, data-led decisions at enterprise scale
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