Retailers lose revenue every day to decisions made on stale data, siloed systems, and gut feel. Infocepts has seen this pattern across global retail and CPG clients – and built Retail Connected Intelligence specifically to solve it.
Pricing teams react to competitor moves weeks late. Markdowns happen because nobody saw the demand signal in time. Margin walks out the door every day.
Stock sits where demand is not. Stores that need product cannot get it; stores that do not are forced into markdowns. The merchandising plan and reality drift apart.
Assortment, pricing, supply chain, and store execution data live in separate systems. Every merchandising decision relies on a partial picture and a manual reconciliation.
When merchandising teams cannot explain why a recommendation was made, they override it. Pricing and assortment intelligence that lacks explainability gets ignored.
Infocepts Retail Connected Intelligence unifies assortment, pricing, supply chain, and store execution data on Databricks. It learns continuously from sales velocity, competitor pricing, and demand signals – and surfaces explainable recommendations that merchandising teams actually use.
Infocepts connects every merchandising-relevant data source into a single trusted layer on Databricks - so every decision is made on one consistent view, not four conflicting ones.
The solution ingests sales velocity, competitor pricing, promotional response, and external demand signals - and updates its recommendations as the market moves, not on a monthly batch cycle.
Powered by MLflow, every recommendation comes with the drivers behind it. Merchandising teams see why a price change is suggested or why an SKU should move - and trust the answer.
Unity Catalog governs access, lineage, and definitions across the entire decision layer - so pricing, assortment, and inventory decisions are auditable and consistent across markets.
Whether the catalog is 5,000 SKUs or 500,000, Infocepts Retail Connected Intelligence scales horizontally on Databricks - no degradation in accuracy or explainability as the business grows.
One decision layer serves stores, ecommerce, marketplaces, and franchise formats - so merchandising decisions stay aligned across the full omnichannel footprint.
Infocepts Retail Connected Intelligence brings together assortment planning, pricing AI, MLflow-governed models, and Unity Catalog governance into a single solution – built for retailers that need accurate, explainable merchandising decisions at scale.
Continuous SKU-level assortment recommendations based on sales velocity, demand signals, and store-level performance.
Daily pricing recommendations that respond to competitor moves, demand shifts, and inventory positions across the network.
Identify margin opportunities at SKU, category, and store level – and reduce markdown exposure through earlier intervention.
Every model is reproducible, version-controlled, and explainable – so merchandising teams trust and adopt the recommendations.
Role-based access, lineage, and consistent data definitions across every merchandising decision and every market.
Supports stores, ecommerce, marketplaces, and franchise formats – and scales from 5,000 to 500,000+ SKUs without architectural rework.
When merchandising decisions run on one trusted, explainable decision layer, markdowns shrink, margin improves, and merchandising teams stop second-guessing the data.
Fewer Markdowns
Earlier intervention on slow-moving SKUs reduces markdown exposure across the catalog and across channels.
Higher Margin at Scale
Pricing and assortment recommendations grounded in real demand signals improve margin without sacrificing volume.
Faster Merchandising Decisions
Daily recommendations replace monthly batch cycles. Teams act on current signals, not last quarter's snapshot.
Trusted, Auditable Decisions
MLflow and Unity Catalog give every recommendation a clear lineage - so merchandising, finance, and audit can stand behind the numbers.
Wants merchandising decisions made on one trusted view - and explainable enough that category teams adopt rather than override the recommendations.
Wants SKU-level assortment decisions grounded in sales velocity and store-level demand - not gut feel or last year's plan.
Needs pricing that responds to competitor moves and demand signals in real time, not on a weekly batch cycle.
Wants margin improvement that can be defended with data - and audit-ready governance behind every pricing and assortment decision.
Infocepts Retail Connected Intelligence is built on Databricks and integrates with the broader ecosystem of merchandising, pricing, and supply chain software partners – so deployment fits within your existing retail technology landscape, not around it.
Explore insights on assortment optimization, retail pricing AI, and merchandising analytics for retail and CPG organizations.
Infocepts Retail Connected Intelligence is an assortment and pricing optimization solution built on Databricks. It unifies assortment, pricing, supply chain, and store execution data into a single decision layer – and uses MLflow-governed models to surface explainable, daily recommendations that help merchandising teams reduce markdowns, improve margin, and respond faster across every channel and format.
Infocepts Retail Connected Intelligence learns continuously from sales velocity, competitor pricing, and demand signals, and surfaces SKU-level pricing and assortment recommendations daily. By intervening earlier on slow-moving SKUs and responding faster to competitor moves, retailers reduce markdown exposure and improve margin at scale – typically without sacrificing volume.
Infocepts Retail Connected Intelligence is designed for Chief Merchandising Officers, VPs of Pricing, VPs of Assortment Planning, and CFOs who own merchandising outcomes. It serves retailers and CPG brands managing anywhere from 5,000 to 500,000+ SKUs across stores, ecommerce, marketplaces, and franchise formats.
Every recommendation produced by Infocepts Retail Connected Intelligence is backed by MLflow-governed models with full lineage. Merchandising teams see the drivers – sales velocity, competitor pricing, demand signals – behind every suggested price change or assortment move. This is why category teams adopt the recommendations rather than override them.
Yes. Infocepts Retail Connected Intelligence is built on Databricks specifically to scale across large catalogs – from 5,000 SKUs to 500,000+ – without compromising accuracy or explainability. The same decision layer serves stores, ecommerce, marketplaces, and franchise formats.
Infocepts Retail Connected Intelligence typically goes live for the first production category in 10 to 14 weeks. Additional categories and markets roll on faster as the Databricks data foundation is reused – most clients onboard new categories in 4 to 6 weeks.
