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iD Fresh Food logoCustom solution · Perishables · Multi-store

Demand forecasting for better SKU availability in fresh food distribution

An AI-enabled forecasting and planning approach that connects demand to the shelf — from production and cold storage to van loading and store-level SKU mix.

Forecast
SKU × store demand
Plan
Production & cold storage
Dispatch
Van load & SKU mix
Shelf
Right availability
The customer

A growing fresh food business

A growing fresh food business needed a smarter way to manage demand, production and distribution across multiple stores. Because the business runs on perishable products, getting the right products to the right stores at the right time — while reducing returns and operational inefficiencies — is critical.

The challenge

Predicting demand at SKU and store level

Traditional order capture alone couldn't manage daily production, warehouse movement, cold-storage planning, van loading and store-wise product mix. The business needed a connected, intelligent process to support decisions across the supply chain.

Forecasting demand per SKU, per store

Store-level, SKU-level demand was hard to estimate from orders alone.

Planning production accurately

Daily production needed to reflect expected demand, not guesswork.

Warehouse & cold-storage quantities

The right suggested quantities had to reach warehouse and cold storage.

Loading vans with the right mix

Each van needed a recommended SKU mix for the stores it served.

Reducing return pickups

Overstocking and mismatched demand drove avoidable return pickups.

Improving shelf availability

Availability needed to improve without relying only on manual planning.

The solution

Forecasting connected to operational planning

We implemented an AI-enabled demand forecasting approach that goes beyond basic order capture — turning forecasts into actionable recommendations across production, dispatch, van loading and store-level SKU mix.

Forecast

Expected demand by SKU and store.

Production

Recommended quantities to make.

Warehouse / cold storage

Structured inventory movement.

Van loading

Recommended load per route.

Store SKU mix

Right mix on every shelf.

The results

Business impact

The solution improved planning accuracy, reduced manual dependency, and aligned distribution with real store-level demand.

Better visibility into SKU-level and store-level demand
Improved production planning based on forecasted requirements
More efficient van loading and dispatch planning
Better alignment between supply and store-level demand
Reduced overstocking and unnecessary return pickups
Improved availability of the right SKUs on the shelf
A more automated and scalable planning process
Why it matters

Reliable shelf availability, smarter distribution

By using AI-led demand forecasting and automated planning recommendations, the fresh food business improved how products move from production to store shelves. Each store receives a more relevant SKU mix, while production planning, van loading and operational efficiency all improve — a stronger foundation for reliable availability across a fresh food supply chain.

Related modules

Modules that power this

The SalesDiary modules that keep this forecasting-led flow running day to day.

Inventory & Stock

Warehouse and cold-storage quantities aligned to forecasted demand.

Order Management

Store-level ordering that feeds the demand signal.

Related platforms

Platforms behind this

The SalesDiary platforms this forecasting solution is built on.

AI Recommendation Engine

Indigenous AI that drafts demand, territory and product recommendations.

Van Sales

Van load-out and dispatch tuned to each route.

Plan demand like this

See how SalesDiary connects forecasting, production and distribution — from demand to shelf.