Supply Chain Intelligence

One supply chain platform. Five distinct processes. Start with yours.

AI that connects demand planning, replenishment, store operations, warehouse management, and master data on a single retail-native platform.

Introducing CINDE Supply Chain Intelligence

Retail AI demand planning and replenishment system diagram

Demand Planning & Replenishment

Your forecasts drive your orders. When the forecast is wrong, everything downstream compounds: overstocks, shortages, waste, and lost sales.

CINDE Demand Performance covers:
– AI demand forecasting at the item, store, and day level
– Automated store and DC replenishment driven by live forecasts
– Promotional and seasonal allocation to the right stores in the right quantities

> Explore Demand Forecasting
> Explore Replenishment & Allocation

 

Retail AI store warehouse network system

Store & Warehouse Operations

Your stores and DCs run on disconnected systems. Every handoff between them is a place where data falls through and margin leaks.

Gold Core Retail Operations covers:
– Master data management: the single source of truth for articles, suppliers, sites, and pricing
– Store operations: receiving, pricing, perpetual inventory, production, and mobile tools for store teams
– Order execution: automated order flow from stores to DC to vendor, across on-DC stock, cross-dock, direct delivery, and multi-echelon distribution

> Explore Store & Channel Operations
> Explore Central Operations Management
> Explore Retail Master Data Management

Results from real production deployments

-20% shortage, -10% waste

-20% shortage, -10% waste at a major European grocery retailer after deploying AI forecasting and automated replenishment across distribution centers. (Demand Planning & Replenishment)

70%+ order auto-validation

Order auto-validation increased from 20-40% to 70%+ at a major European grocery group using automated order execution. (Store & Warehouse Operations)

$1.6-$2.8M profit

$1.6-2.8M profit per billion in revenue from end-to-end supply chain optimization, with customers generating value in 4-6 months. (Portfolio benchmark)

.5% sales increase

6% shortage reduction, 1.5% inventory improvement, 0.5% sales increase at Mercator Slovenia across 370+ supermarkets and 27 hypermarkets. (End-to-end)

Common questions about AI supply chain management in retail

What supply chain processes does CINDE cover for retail?
CINDE covers two operational domains. Demand Planning and Replenishment includes AI demand forecasting, automated store and DC replenishment, and promotional/seasonal allocation. Store and Warehouse Operations includes master data management, order execution across every channel and logistics flow (on-DC stock, cross-dock, direct vendor delivery, multi-echelon distribution), store operations (receiving, pricing, perpetual inventory, production, mobile), and warehouse management. Both domains operate on a shared retail data layer.
AI models forecast demand at the item, store, and day level using sales history, promotions, weather, and seasonality. Those forecasts feed directly into the replenishment engine, which generates order proposals. Proposals that meet validation criteria execute automatically. When conditions make automation risky, the system surfaces recommendations for human review.
Yes. CINDE layers on top of existing systems (SAP, Oracle, legacy ERP, WMS) through data connectors and standard feeds. There is no requirement to replace core transactional systems.
Demand planning determines how much to order and where to send it. Store operations determines what happens once products arrive: receiving, pricing, shelving, inventory tracking, and shelf monitoring. Different teams own each process and often use different systems. CINDE connects both on a shared platform so planning decisions reflect operational reality.

Get started with AI-powered supply chain management