Optimising Supply Chain Efficiency for a Leading Food Producer with SolvedBy.Ai

The company faced the constant challenge of keeping shelves stocked while avoiding costly overproduction and waste.

Key issues included:

SolvedBy.Ai introduced an AI-driven demand forecasting and supply optimisation solution designed to address SKU-level planning challenges.

Here’s how it works:

Forecasting Demand at SKU Level
Using historical order data, promotional calendars, weather patterns, holiday effects, and other contextual variables, the model predicts weekly demand at a granular, per-SKU level.

Smarter Stock & Production Planning
Predictions inform stock holding, production scheduling, and raw material orders — ensuring the right stock is available at the right time while reducing overproduction.

Profit & Waste Reduction Logic
By accurately forecasting demand, the business avoids unnecessary production runs, minimises waste, and reduces end-of-year inventory.

Context-Rich Modelling
Data sources such as promotions, seasonal weather, competitor insights, traffic changes, holidays and more are layered into the forecasts, capturing demand shifts that traditional methods miss.

The collaboration with SolvedBy.Ai has delivered significant, measurable results:

A leading European food producer and manufacturer, specialising in premium seafood and chilled products, sought to modernise its forecasting and supply chain planning. Known for its commitment to quality and innovation, the business supplies major retailers and foodservice providers across multiple markets.