Pulse.Retail.AI & Shelf.AI:
The Future of Shelf Intelligence
Optimize Shelves, Boost Sales and Drive Retail Growth
Overview Of Functionality
Real-Time Shelf Intelligence For
Category Excellence
Pulse.Retail.AI and Shelf.AI form a unified real-time intelligence platform that integrates sales, space, and shopper data for retailers and category managers.
It powers hyper-local shelf strategies at scale, from AI-driven SKU funneling and financial simulations to Shelf.AI’s generative planogram creation that respects fixtures and merchandising rules.
Live KPIs like Share of Shelf, Fair Share Index, and Days of Supply transform fragmented data into decisive actions, driving revenue growth and compliance across every store, cluster, and country.
Capabilities At A Glance
AI-powered engine delivers dynamic, real-time SKU rebalancing, facings optimization, and planogram adjustments.
Live in just 12 weeks delivering immediate efficiency gains and operational transformation.
AI groups stores, rates SKUs with profitability indexing, and runs financial scenarios for optimal mixes.
Generative AI crafts store-specific planograms honoring fixtures, rules, and performance imperatives.
Real-time KPI dashboard spanning Share of Shelf, Fair Share Index, Days of Supply, and revenue metrics.
Configurable alerts, mandatory SKUs, and compliance controls for seamless execution.
Working Principle
From Data Ingestion To Continuous Optimization
Ingest and unify data
Integrates POS, sales, demographic, space, and shelf data using AWS services (S3, Airflow, Glue, Redshift) with Python, QuickSight, and FastAPI Microservices.
Integrates POS, sales, demographic, space, and shelf data using AWS services (S3, Airflow, Glue, Redshift) with Python, QuickSight, and FastAPI Microservices.
Model and optimize decisions
AI models cluster stores, evaluate SKUs and simulate outcomes with genetic algorithms and intuitive business controls.
AI models cluster stores, evaluate SKUs and simulate outcomes with genetic algorithms and intuitive business controls.
Planogram Execution & Monitoring
Auto-generates store-specific layouts, tracks live KPIs, and delivers alerts with continuous feedback for ongoing refinement.
Auto-generates store-specific layouts, tracks live KPIs, and delivers alerts with continuous feedback for ongoing refinement.
Cluster Deployment & Iteration
Rolls out optimized strategies across markets with simulation previews and performance tracking for rapid improvements.
Rolls out optimized strategies across markets with simulation previews and performance tracking for rapid improvements.
Module Breakdown
Assortment Intelligence Meets
Shelf Execution
Pulse.Retail.AI
- Store Cluster insights support grouping stores by shopper behavior and sales patterns.
- SKU Evaluation Funnel to filter the full SKU universe against performance, rules, and strategic criteria.
- Assortment Optimization models to determine the best SKU mix per cluster, balancing coverage, demand, and profitability.
- Scenario and Impact Comparison to contrast baseline and optimized assortments on revenue, volume, penetration, and contribution.
Shelf.AI
- Store Format and Space Mapping using shelf dimensions, fixtures, roles, and available space.
- Space-Aware SKU Placement is based on adjacency rules, flow, facings, and fixture constraints.
- Automated Layout Optimization with generative AI to create store-specific planograms at scale.
- Real-Time Performance KPIs such as Share of Shelf, Fair Share Index, Days of Supply, and revenue per shelf.
Benefits for Retail
Drive Revenue, Compliance, And Efficiency
Maximized sales and share
Ensure winning SKUs receive the right visibility and space, improving revenue and market share at the category and store level.
Reduced lost sales and waste
Proactively manage stock, facings, and bulky SKUs to cut stockouts, backroom overflow, and underperforming cubes.
Consistent, compliant execution
Maintain planogram compliance and governance across formats, regions, and markets with automated monitoring and alerts.
Higher productivity and speed
Replace manual, one-off planogram work with automated, AI-driven workflows that deploy changes in weeks, not months.
Future of Retail Shelf Optimization
Promote your assortment | Boost sales | Ensure flawless shelf execution
Why Pulse.Retail.AI?
- Built from the ground up for modern retail realities rather than retrofitted onto legacy ERP stacks.
- Integrated from assortment strategy to shelf execution, eliminating silos and handoffs between tools and teams.
- AI-first decisioning, where models continuously learn from new data, instead of bolt-on analytics around static workflows.
- Designed for business self-service, giving category and merchandising teams direct control while keeping data science under the hood.
Practical Applications
From Category Optimization To Market Expansion
- Category managers optimize SKU mixes, space allocations, and facings for priority categories across diverse store clusters.
- Merchandising teams are replacing manual planogram creation with AI-generated layouts that respect brand, visibility, and profitability rules.
- Retail leadership tracks real-time category KPIs (Share of Shelf, Fair Share Index, Days of Supply) across markets to drive interventions.
- Expansion teams testing new assortments and layouts via simulation before rolling them out to new formats or geographies.
See Pulse.Retail.AI in action
Explore how Pulse Retail AI connects assortment intelligence with AI-generated planograms and real-time shelf KPIs in a single, intuitive workspace
Get A Demo
Share a few details about your categories, formats, and markets, and the Digitide team will tailor a Pulse Retail AI demo to your specific retail context.