The Intelligent Platform
for Modern Retail
Pre-built, agentic AI solutions across merchandising, supply chain, commerce and customer experience — proven impact at scale.
Why Retail.ai?
One integrated, intelligent platform — not disconnected tools and siloed decisions.
Integrated Platform
Data, AI and cloud across retail functions — customer, merchandising and supply chain.
End-to-End Value
Merges Accenture's strategic expertise with proven partner technologies.
Intelligent Data Fabric
Correlation, causation and interdependency modeling across retail domains.
Proven Impact
Implemented across multiple clients, driving improvements in revenue, margin and efficiency.
Explore by Domain
Retail.ai Solutions Accelerators
Click any use case to explore demos and case studies
Strategic AI Partners
Solution Accelerators
Pre-built, configurable agentic AI assets across the retail value chain
Merchandising Co-Worker
Merchandising Optimization · Decision Intelligence · What-if scenario simulation · Explainable recommendations · Period intelligence and RCA
Merch360
An AI-powered fashion merchandising platform that guides retail planners from trend and competitor analysis through demand forecasting, assortment, pricing, and promotions across store segments.
SKU Rationalization
Identify underperforming SKUs and rationalise assortment using margin, velocity and substitutability signals.
Planogram Advisor
AI-driven shelf placement recommendations optimised for category profit and shopper flow.
Price, Promotion & Markdown Optimization
Autonomous pricing engine with dynamic markdown, promo elasticity modelling and competitive benchmarking.
Location Intelligence
Geo-spatial demand signals and trade area analytics to inform store-level ranging decisions.
Product Categorization & Data Enrichment
Automated taxonomy tagging, attribute extraction and PDP enrichment using GenAI at scale.
Product Design & Development
GenAI-assisted product ideation, trend alignment and range architecture for own-brand teams.
Category Strategy & In-Season Optimization
AI powered category intelligence that monitors performance across the product hierarchy, uncovers key drivers and root causes and prescribes targeted SKU-level actions across pricing and promotion.
Customer 360: Segmentation, Targeting, Acquisition & Retention
Unified customer profiles with ML segmentation, acquisition targeting and churn risk scoring.
Customer & Campaign Analytics Co-Pilot
AI assistant for marketing teams — campaign performance, attribution and next-best-action recommendations.
Personalized Content at Scale
GenAI hyper-personalised email, push and on-site content generation across millions of customers.
Full-Service Omnichannel Marketing Agent
Autonomous marketing agent orchestrating personalised journeys across web, app, email and in-store.
Content for Commerce: Digital Shelf Content Creation
GenAI-powered PDP copy, imagery briefs and SEO-optimised product descriptions at scale.
Social Media Analytics
Sentiment tracking, influencer analytics and social-to-sales attribution across key platforms.
RMN Agentic Solution
End-to-end Retail Media Network agent — audience creation, campaign activation, closed-loop attribution and data monetization.
Trend Prediction & Competitive Monitoring
Real-time social listening and competitor price/assortment signals to stay ahead of market shifts.
Intelligent Engine for Campaign Production & Execution
End-to-end campaign automation from briefing to creative to channel activation — powered by AI agents.
Demand Forecasting
ML-based demand sensing across store-SKU combinations with real-time signals and scenario planning.
Returns Prediction
Predict return likelihood at the order level and drive proactive interventions to reduce cost-to-serve.
Labour Analytics
Throughput optimisation, slot utilisation and labour productivity analytics for distribution centres.
Supply Chain N-Tier Insights Agent
Multi-tier supplier visibility with ESG risk scoring, disruption early warning and alternative sourcing.
Supply Chain Control Tower
Real-time command centre with AI-driven exception management, scenario modelling and autonomous rerouting.
Sourcing Co-Pilot
AI-assisted sourcing decisions with supplier scoring, cost modelling and risk assessment.
Inventory Visibility & Product Flow Optimization
Real-time inventory tracking and AI-driven flow optimisation across DCs, stores and online channels.
Intelligent Inventory Management
Autonomous inventory positioning agent minimising carrying costs while maintaining service levels.
Shrinkage Analytics
ML-based shrinkage detection and root cause analysis across product, store and supplier dimensions.
Supplier Performance
Supplier scorecard analytics with AI-driven risk flags, lead time prediction and collaborative planning.
Store Operations Assistant
Real-time guidance for store teams on execution, replenishment and task prioritisation.
Conversational AI Insights
An agentic analytics platform that translates business questions into governed, decision-grade insights.
Planogram Generator
Planogram generation for the new stores and existing stores.
Conversational Commerce
AI shopping assistant guiding purchase journeys with personalised product discovery and support.
Commerce Intelligence: Customer Care Automation
AI-driven customer service automation handling returns, exchanges, queries and proactive outreach.
🛍 Merchandising
AI-powered assortment, pricing, category management and product intelligence
Demo Accelerators
Click any card to access the demo
Merchandising Agent
Merchandising Optimization · Decision Intelligence · What-if scenario simulation · Explainable recommendations · Period intelligence and RCA
SKU Rationalization
Identify underperforming SKUs and rationalise assortment using margin, velocity and substitutability signals.
Planogram Advisor
AI-driven shelf placement recommendations optimised for category profit and shopper flow.
Price, Promotion & Markdown Optimization
Autonomous pricing engine with dynamic markdown, promo elasticity modelling and competitive benchmarking.
Location Intelligence
Geo-spatial demand signals and trade area analytics to inform store-level ranging decisions.
Product Categorization & Data Enrichment
Automated taxonomy tagging, attribute extraction and PDP enrichment using GenAI at scale.
Product Design & Development
GenAI-assisted product ideation, trend alignment and range architecture for own-brand teams.
Category Strategy & In-Season Optimization
AI powered category intelligence that monitors performance across the product hierarchy, uncovers key drivers and root causes and prescribes targeted SKU-level actions across pricing and promotion.
Selected Client Case Studies
Proven impact from Merchandising AI deployments
Reinventing Merchandising with Agentic AI
Large UAE-based conglomerate with 200+ companies facing fragmented, siloed merchandising processes. Built an end-to-end agentic AI framework with orchestrator and functional agents for assortment, markdown and discount.
Pricing Strategy Agent
One of the largest US grocery retailers needed to modernize pricing and promotional strategy. Built an explainable Agentic AI framework acting as a merchant digital twin with models for Category Roles, Promo Groups, Competitor Strategy.
Location Planning & Product Discovery with Agentic AI
Department store retailer deployed intelligent planning agents, AI-driven product enrichment and a clear taxonomy with user-friendly facets.
💎 Loyalty
Unified customer intelligence — from 360° identity to loyalty, personalisation and lifecycle management
Demo Accelerators
Explore all Loyalty accelerators
Customer 360: Segmentation, Targeting, Acquisition & Retention
Unified customer profiles with ML segmentation, acquisition targeting and churn risk scoring.
Customer & Campaign Analytics Co-Pilot
AI assistant for marketing teams — campaign performance, attribution and next-best-action recommendations.
Personalized Content at Scale
GenAI hyper-personalised email, push and on-site content generation across millions of customers.
Full-Service Omnichannel Marketing Agent
Autonomous marketing agent orchestrating personalised journeys across web, app, email and in-store.
Content for Commerce: Digital Shelf Content Creation
GenAI-powered PDP copy, imagery briefs and SEO-optimised product descriptions at scale.
Social Media Analytics
Sentiment tracking, influencer analytics and social-to-sales attribution across key platforms.
Selected Client Case Studies
Proven impact from Loyalty & Customer Analytics deployments
Designed and Developed Strategy to Monetize Data & Insights
Major Danish retail chain developed an Insights platform with retail media capabilities — audience activation, campaign measurement, loyalty programme analytics and category dashboards.
Omnichannel Marketing Agent
Autonomous marketing orchestration across email, push and in-store channels dramatically reduced campaign production cycle while deepening personalisation at scale.
📡 Retail Media Network
End-to-end retail media capabilities — audience activation, campaign execution and data monetization
Demo Accelerators
Explore all Retail Media Network accelerators
RMN Agentic Solution
End-to-end Retail Media Network agent — audience creation, campaign activation, closed-loop attribution and data monetization.
Trend Prediction & Competitive Monitoring
Real-time social listening and competitor price/assortment signals to stay ahead of market shifts.
Intelligent Engine for Campaign Production & Execution
End-to-end campaign automation from briefing to creative to channel activation — powered by AI agents.
Selected Client Case Studies
Proven impact from Retail Media Network deployments
Designed, Launched & Run Retail Media Offering
Created a new retail media business unit in Chile targeting 77M USD over 5 years. Partnered from early stage — POC, AdTech ecosystem enablement, and co-running the Media business for 5 years.
Igniting Retail Media Network Growth
Delivered phased RMN enablement on GCP — secure data foundations, AI/ML audience creation, omnichannel measurement, consent platform and RMN Control Tower.
🔗 Supply Chain
End-to-end supply network intelligence — Plan · Buy · Distribute · Fulfil
Demo Accelerators
Explore all Supply Chain accelerators
Demand Forecasting
ML-based demand sensing across store-SKU combinations with real-time signals and scenario planning.
Returns Prediction
Predict return likelihood at the order level and drive proactive interventions to reduce cost-to-serve.
Labour Analytics
Throughput optimisation, slot utilisation and labour productivity analytics for distribution centres.
Supply Chain N-Tier Insights Agent
Multi-tier supplier visibility with ESG risk scoring, disruption early warning and alternative sourcing recommendations.
Supply Chain Control Tower
Real-time command centre with AI-driven exception management, scenario modelling and autonomous rerouting.
Sourcing Co-Pilot
AI-assisted sourcing decisions with supplier scoring, cost modelling and risk assessment.
Inventory Visibility & Product Flow Optimization
Real-time inventory tracking and AI-driven flow optimisation across DCs, stores and online channels.
Intelligent Inventory Management
Autonomous inventory positioning agent minimising carrying costs while maintaining service levels.
Shrinkage Analytics
ML-based shrinkage detection and root cause analysis across product, store and supplier dimensions.
Supplier Performance
Supplier scorecard analytics with AI-driven risk flags, lead time prediction and collaborative planning.
Selected Client Case Studies
Proven impact from Supply Chain AI deployments
Demand Forecasting and Inventory Optimization
American off-price fashion retailer with 900+ stores needed to reduce stockouts and markdown sales. Delivered advanced ML-based forecasts, automated pipelines and optimal inventory allocation.
Intelligent Demand Forecasting for a Large FMCG Company
Client ran demand planning via Excel and needed to automate and scale using cloud technology. Built a personalized visualization dashboard leveraging Azure Data Lake, Databricks and ML algorithms.
Problem Inventory Identification and Next Best Action
Retailer had an estimated $80–100M of problematic inventory. Designed a repeatable analytics methodology and built a store-article decision model recommending the optimal liquidation path per product.
🏪 Store Operations
AI-powered store execution, associate assistance and operational intelligence
Demo Accelerators
Explore all Store Operations accelerators
Store Operations Assistant
Real-time guidance for store teams on execution, replenishment and task prioritisation.
Conversational AI Insights
An agentic analytics platform that translates business questions into governed, decision-grade insights.
Planogram Generator
Planogram generation for the new stores and existing stores.
Selected Client Case Studies
Proven impact from Store Operations AI deployments
Digital After Sales Assistant
Created a Help on Hand (HoH) AI chatbot providing FAQ support, conversational order tracking, and guided returns compliance journey for electronics retailer.
🛒 Commerce
AI-powered conversational commerce and customer care automation
Demo Accelerators
Explore all Commerce accelerators
Conversational Commerce
AI shopping assistant guiding purchase journeys with personalised product discovery and support.
Commerce Intelligence: Customer Care Automation
AI-driven customer service automation handling returns, exchanges, queries and proactive outreach.
Selected Client Case Studies
Proven impact from Commerce AI deployments
PAINT Conversational Commerce — GenAI Companion
Retailer built a GenAI companion delivering advice, style inspirations, intelligent color recommendations, product highlights, and basket add from chat.
CE Retailer — Conversational Commerce Agent
AI shopping agent for complex electronics journeys drove higher basket value and reduced return rates through better pre-purchase guidance and compatibility validation.
Agentic AI Platform Capabilities
End-to-end architecture — from cloud & data infrastructure to agent governance and AI operations
Governance
Infrastructure
🧠 Ontology
AI-driven knowledge graphs and ontologies powering intelligent retail decision-making
Grocery Merchandising
AI-driven knowledge graph for grocery merchandising — spanning quarterly category & assortment planning, KVI pricing, promotional execution, and perishable markdown through to daily replenishment across warehouse, cross-dock, and DSD flows.
Fashion Merchandising
End-to-end AI-driven merchandising knowledge graph covering Pre-Season planning (category, brand & location plans, assortment build, OTB) through In-Season management (assortment optimization, pricing, promotion & markdown execution).
Assortment Localization
Enterprise-grade ontology for AI-driven assortment selection, store-level localization, demand prediction, and lifecycle management for a luxury fashion retailer.
View Demo →Stock-Out Intelligence
Unified knowledge graph for AI-driven availability assurance — detect, prevent, recover, and quantify lost-sale economics across stores, e-commerce, BOPIS, and ship-from-store.
View Demo →Markdown Optimization
Enterprise-grade ontology for AI-driven markdown optimization, full-price sell-through protection, margin-aware clearance, and lifecycle-based price intelligence across stores, channels, and customer segments.
View Demo →⬡ Architecture
Technical blueprints powering the Agentic AI platform across retail domains
Architecture Accelerators
Explore the system designs behind each solution
Merchandising 360
Ontology-driven agentic AI system spanning data ingestion, builder agents, intelligence layer, MCP framework and enterprise integration.
Retailer Journey to Agentic Intelligence
A proven path from fragmented data to autonomous multi-agent enterprise operations
Data Foundation
Robust, real-time data backbone — Customer 360, Product 360 and ML-ready pipelines
GenAI Copilots
AI copilots across merchandising, marketing and customer service — insight to intelligent assistance
Agentic AI
Autonomous decisioning for pricing, inventory and replenishment — proactive, not reactive
Multi-Agent Ecosystem
Collaborative AI workforces with central orchestration and an AI control tower
Use Cases by Stage
Data Foundation
System-wide ML-ready data foundations · Standardised demand forecasting layers · 360° dashboards
GenAI Enablement
Copilots across business functions · Intelligent content and conversational experiences · Margin optimisation
Agentic AI
Autonomous decision-making agents · KPI-aligned agents · Automate pricing, promo and replenishment
Multi-Agent
Orchestrate multiple domain agents · Cross-enterprise coordinated decisioning · Real-time trade-off optimisation
Client Impact Stories
Selected case studies across Merchandising, Loyalty, Retail Media Network, Supply Chain, Store Operations and Commerce
Merchandising
5 case studies
Reinventing Merchandising with Agentic AI
Large UAE-based conglomerate with 200+ companies facing fragmented, siloed merchandising processes. Built an end-to-end agentic AI framework with orchestrator and functional agents for assortment, markdown and discount — enabling real-time root-cause diagnosis and autonomous recommendations.
Pricing Strategy Agent
One of the largest US grocery retailers needed to modernize pricing and promotional strategy. Built an explainable Agentic AI framework acting as a merchant digital twin — with models for Category Roles, Promo Groups, Competitor Strategy, and AI-powered dashboards with natural language interface.
Location Planning & Product Discovery with Agentic AI
Department store retailer deployed intelligent planning agents, AI-driven product enrichment and a clear taxonomy with user-friendly facets to address poor data quality and sub-optimal product filtering.
Demand Sensing for Food & Beverage Retailer
Built a custom demand sensing platform leveraging seasonality, public holidays, out-of-stock signals and historical data — improving forecast accuracy from 20% (manual) to 80–85% per segment.
Advanced Fuel Pricing
Built an Advanced Fuel Pricing (AFP) method using competitor analysis, price-gap and volume modelling, and a flexible recommendation file with configurable parameters and what-if scenarios.
Loyalty
2 case studies
Strategy to Monetize Data & Insights for Danish Retailer
Major Danish retail chain developed an Insights platform with retail media capabilities — audience activation, campaign measurement, loyalty programme analytics, category dashboards, and pre-defined audience segments.
Designed, Launched & Run Retail Media Offering
Client wanted to create a new retail media business unit in Chile targeting 77M USD over 5 years. Partnered from early stage — POC, AdTech ecosystem enablement, and co-running the Media business for 5 years.
Retail Media Network
2 case studies
Strategy Development for the Retail Media Ad Partner Program
Largest North American retailer needed to launch an ad agency/partner certification program. Conducted industry scan, practitioner interviews and competitor assessment — designing a step-wise recommendation covering Program Strategy, Target Segment, Op Model & Program Design.
Igniting Retail Media Network Growth
Delivered phased RMN enablement on GCP — secure data foundations, AI/ML audience creation, omnichannel measurement, consent platform, ad order management and an RMN Control Tower.
Supply Chain
4 case studies
Demand Forecasting and Inventory Optimization
American off-price fashion retailer with 900+ stores needed to reduce stockouts and markdown sales. Delivered advanced ML-based forecasts, automated pipelines and optimal inventory allocation.
Intelligent Demand Forecasting for a Large FMCG Company
Client ran demand planning via Excel and needed to automate using cloud technology. Built a personalized visualization dashboard leveraging Azure Data Lake, Databricks and ML algorithms.
Problem Inventory Identification and Next Best Action Recommendation
Retailer had an estimated $80–100M of problematic inventory. Designed a repeatable analytics methodology and built a store-article decision model recommending the optimal liquidation path per product.
Data Engineering & Demand Forecasting — Optimizing Data Pipelines for Global Operations
Complex data pipelines managed by an external vendor required automation and onboarding of multiple countries onto a unified cloud platform. Transitioned to in-house, migrated to module-based code and automated end-to-end ingestion.
Store Operations
1 case study
Digital After Sales Assistant — Empowering Post-Purchase Process with AI
Electronics retailer created a Help on Hand (HoH) AI chatbot providing FAQ support, conversational order tracking, and guided returns compliance journey — addressing challenges in after-sales support.
Commerce
2 case studies
PAINT Conversational Commerce — GenAI Companion for Painting Projects
Retailer built a GenAI companion delivering advice, style inspirations, intelligent color recommendations, product highlights, and basket add from chat for DIY home improvement customers.
CE Retailer — Conversational Commerce Agent
AI shopping agent for complex electronics journeys drove higher basket value and reduced return rates through better pre-purchase guidance and compatibility validation.
Our Retail.ai Team
Experts driving innovation and digital transformation in retail
Manish Pasrija
Retail.ai LeadAnoop Gopinatha
AMBG AI & Data LeadDhruv Bajpai
Product Manager and Tech lead.Faruk Jawahar
NA GTM LeadAnoop Gopinatha
Key SponsorBrett Leary
Key SponsorJonathan Mays
Key SponsorAmy Goldstein
Key SponsorKatie Craft
Key SponsorVari
Key SponsorLamyae Rihani
Key SponsorDebabrata Kumar
Decision Science SMSupply chain analytics, demand forecasting, pricing analytics and agentic AI
Dolly Verma
Analytics & AI SMGen AI chatbots, cloud native analytics solutions & AI platforms
Govindrajan JK
Data Science LeadRetail AI, generative solutions and industrialising analytics at scale. 4 US patents.
Guneet Kaur
Analytics & Strategy SMCustomer analytics, strategy management, BI report hubs and end-to-end analytical workstreams
Hemanth Thiru
Retail AI & Analytics SMAgentic AI product development, ML initiatives across North America, Europe and Asia
Kapil Goyal
Data and AI SM17 years driving end-to-end AI transformations for global retail and consumer goods clients
Parmita Biswas
Decision Science SMMerchandising insights at scale with agentic AI implementation
Parthajit Mukherjee
Decision Science SM20+ years in analytics, agentic AI product development and client delivery
Sakshi Aneja
Data Analytics & AI SM17+ years in retail and customer analytics, Gen AI and agentic AI SME
Sumit Sharma
AI Solution ArchitectMerchandising, Procurement & Supply Chain — Merch 360, Guided Buying and Underwriting Agents
Himanshu Srivastava
Data Analytics and AI SMData analytics strategy, AI-driven insights and scalable analytics solutions across retail domains
Rajdeep Gupta
Strategy and AI SMAI strategy, go-to-market planning and driving retail AI adoption across client engagements