Industry Solutions: Retail

Next-Generation Retail Intelligence

Transform the retail experience through unified commerce intelligence, predictive inventory management, and AI-powered personalization—delivering measurable improvements in conversion, margin, and customer lifetime value.

Key Business Outcomes

25% conversion lift from personalization
30%+ inventory turnover improvement
8-12% margin improvement on markdowns
45% reduction in stockouts

Enterprise Solutions

Production-ready AI solutions designed for the specific challenges facing Retail organizations.

01

Real-Time Personalization Engine

Deliver the right offer to the right customer at the right moment—across every channel

The Challenge

Generic customer experiences yield 2-3% conversion rates while customers expect personalized interactions. Retailers have data fragmented across channels—ecommerce, mobile apps, stores, and email—preventing unified customer understanding. Batch personalization is 24+ hours stale, missing real-time intent signals. The result: irrelevant recommendations, wasted marketing spend, and lost sales.

Our Solution

Deploy real-time personalization that unifies customer data across all touchpoints, detects intent signals in the moment, and delivers hyper-personalized experiences—product recommendations, offers, content, and search results—tailored to each individual customer in milliseconds. Drive conversion, basket size, and loyalty across web, mobile, email, and in-store.

How It Works

1
Customer Data Platform unifies profiles across all channels with identity resolution
2
Real-time event streaming captures browsing, search, cart, and purchase behavior as it happens
3
ML models combine historical affinity with session intent for in-the-moment personalization
4
Decisioning engine selects optimal products, offers, and content in under 100ms
5
Omnichannel activation delivers personalization to web, mobile, email, and clienteling apps

Business Impact

+25%
Conversion Rate
Relevant experiences drive purchase decisions
+40%
Average Order Value
Better recommendations increase basket size
+35%
Customer Lifetime Value
Personalization drives repeat purchase
+60%
Email Revenue
Personalized content outperforms batch sends

Key Capabilities

Real-time decisioning (<100ms)Unified customer profilesCollaborative filtering + content-based AIOmnichannel activationA/B testing and optimization
02

AI-Driven Inventory Optimization

End stockouts and overstock—predict demand and optimize across your entire network

The Challenge

Retail loses $1.1 trillion annually to stockouts and overstock globally. Traditional forecasting relies on historical averages that miss demand shifts, promotional impacts, and external factors. Buyers make allocation decisions weeks in advance based on gut feel. The result: out-of-stocks on hot items, markdowns on slow movers, and working capital tied up in the wrong inventory.

Our Solution

Deploy ML-powered demand forecasting that predicts what will sell, where, and when with unprecedented accuracy. Our system combines POS data, market signals, weather, events, and promotional calendars to generate forecasts—then automatically optimizes allocation, replenishment, and markdown decisions across your entire inventory network.

How It Works

1
Demand sensing ingests POS data, market trends, weather, events, and search signals
2
ML forecasting generates SKU-store demand predictions with confidence intervals
3
Allocation optimization determines initial distribution to stores and DCs
4
Automated replenishment triggers orders based on rate of sale and lead times
5
Markdown optimization recommends timing and depth to maximize sell-through and margin

Business Impact

-45%
Stockouts
In-stock on the items customers want
+30%
Inventory Turns
Less capital tied up in inventory
+8-12%
Markdown Margin
Optimized timing and depth of promotions
+25%
Forecast Accuracy
Better predictions drive better decisions

Key Capabilities

External signal integrationPromotional demand modelingNew product forecastingAutomated replenishmentMarkdown optimization
03

Store Operations Intelligence

See your stores like never before—with AI-powered insights for physical retail

The Challenge

Retailers have rich data for ecommerce but operate stores blind. No visibility into customer traffic patterns, dwell times, queue lengths, or associate effectiveness. Planogram compliance is checked manually. Labor scheduling relies on rough estimates, not actual customer flow. Store managers make decisions based on intuition rather than data—while digital-native competitors optimize every touchpoint.

Our Solution

Deploy computer vision and IoT analytics that bring digital precision to physical retail. Our platform analyzes in-store customer behavior, optimizes labor scheduling based on traffic patterns, monitors planogram compliance in real-time, and provides store managers with actionable insights—all while maintaining complete customer privacy with edge-processed, anonymized analytics.

How It Works

1
Camera and sensor network captures traffic flow, dwell time, and queue data
2
Edge AI processes video locally for privacy-compliant, anonymized analytics
3
Traffic analytics reveal customer journey patterns, hot zones, and conversion funnels
4
Queue management triggers associate alerts when wait times exceed thresholds
5
Planogram compliance monitoring detects out-of-stocks and display issues automatically

Business Impact

+20%
Labor Efficiency
Right staffing at the right times
+15%
In-Store Conversion
Optimized layouts and staffing
95%
Planogram Compliance
Real-time detection and alerting
-35%
Queue Abandonment
Proactive staffing reduces walk-aways

Key Capabilities

Privacy-preserving computer visionTraffic heatmappingQueue detection and alertingPlanogram compliance monitoringDemand-based labor scheduling

Enterprise Integration

Seamlessly connect with your existing infrastructure. No rip-and-replace required.

Commerce Platforms

Native integration with leading commerce platforms for unified customer experience across digital and physical channels.

Salesforce Commerce Cloud
Real-time personalization and inventory visibility within SFCC storefronts
Shopify Plus
Embedded AI for product recommendations, search, and inventory optimization
SAP Commerce Cloud
Personalization and inventory sync for enterprise B2C and B2B commerce

Retail Operations

Connect with point-of-sale, order management, and merchandising systems for complete retail visibility.

Oracle Retail Suite
Bidirectional data flow with Merchandising, Planning, and Store Operations
NCR / Toshiba POS
Real-time transaction data for demand sensing and personalization
Manhattan OMS
Inventory visibility and order routing optimization across channels

Customer Data

Enrich customer understanding by connecting with your customer data infrastructure.

Segment CDP
Real-time event streaming and identity resolution for unified customer profiles
Adobe Experience Platform
Customer data integration for personalization across Adobe ecosystem
Loyalty Platform APIs
Connect loyalty data for personalized rewards and member experiences

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