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.

Book a 2-week architecture sprint All markets

What we design for

Directional planning targets, not guaranteed results from a published case study.

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

Use cases

Where production AI shows up in retail

Example shapes we engineer around. Scope, integrations, and success criteria are defined per engagement.

01

Real-Time Personalization Engine

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

The problem

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.

How we approach it

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. 01Customer Data Platform unifies profiles across all channels with identity resolution
  2. 02Real-time event streaming captures browsing, search, cart, and purchase behavior as it happens
  3. 03ML models combine historical affinity with session intent for in-the-moment personalization
  4. 04Decisioning engine selects optimal products, offers, and content in under 100ms
  5. 05Omnichannel activation delivers personalization to web, mobile, email, and clienteling apps

Impact to design for

Planning ranges, not audited case metrics.

+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

Capabilities

  • Real-time decisioning (<100ms)
  • Unified customer profiles
  • Collaborative filtering + content-based AI
  • Omnichannel activation
  • A/B testing and optimization
02

AI-Driven Inventory Optimization

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

The problem

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.

How we approach it

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. 01Demand sensing ingests POS data, market trends, weather, events, and search signals
  2. 02ML forecasting generates SKU-store demand predictions with confidence intervals
  3. 03Allocation optimization determines initial distribution to stores and DCs
  4. 04Automated replenishment triggers orders based on rate of sale and lead times
  5. 05Markdown optimization recommends timing and depth to maximize sell-through and margin

Impact to design for

Planning ranges, not audited case metrics.

-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

Capabilities

  • External signal integration
  • Promotional demand modeling
  • New product forecasting
  • Automated replenishment
  • Markdown optimization
03

Store Operations Intelligence

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

The problem

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.

How we approach it

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. 01Camera and sensor network captures traffic flow, dwell time, and queue data
  2. 02Edge AI processes video locally for privacy-compliant, anonymized analytics
  3. 03Traffic analytics reveal customer journey patterns, hot zones, and conversion funnels
  4. 04Queue management triggers associate alerts when wait times exceed thresholds
  5. 05Planogram compliance monitoring detects out-of-stocks and display issues automatically

Impact to design for

Planning ranges, not audited case metrics.

+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

Capabilities

  • Privacy-preserving computer vision
  • Traffic heatmapping
  • Queue detection and alerting
  • Planogram compliance monitoring
  • Demand-based labor scheduling

Integrations

Connect to what you already run

No rip-and-replace. We wire into the systems of record your team already owns.

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

Building in Retail?

Bring the workflow or product job, the systems involved, and the constraints. We will tell you whether a sprint or pilot is the right next step.

Book a 2-week architecture sprint