Know how much you are going to sell before you produce, buy or store
Demand forecasting with AI avoids over-manufacturing, running out of stock or making business decisions too late.
Industry Retail and distribution company
98% accuracy in demand forecast
+35% Inventory optimization
+30% Demand forecast accuracy
↓ stock-outs Less sales lost due to product shortage
↑ business planning Faster production and purchasing decisions
BEFORE
Estimates were made using spreadsheets and manual estimates
Overstocking of some products and breakage of others
Purchasing and production reacted too late to demand
NOW
Future demand is predicted by product, zone and period with an effectiveness of 98%.
Inventory and resources are adjusted before demand peaks
Production and commercial planning with actual and updated forecasts
THE PROBLEM
Purchased, produced and sold without knowledge of demand
Unreliable manual forecasts that are difficult to update.
Overstocking of some products and unavailability of others.
Purchasing and production reacted late to changes in demand.
Business decisions based on historical, not forecasted demand.
THE SOLUTION
Development of a predictive algorithm with a probability of error of 2%.
Predictive model trained with sales, stock, orders, campaigns and seasonality.
Forecast by product, zone, channel and period for detailed planning.
Alerts on demand peaks, risk of breakage and excess inventory.
Operational dashboard to decide what to buy, produce, move or promote.
THE IMPACT
Less tied-up stock, less breakage and better business decisions
The company stopped reacting late to changes in demand and started planning well in advance. Teams can decide what to buy, produce and sell much more quickly and accurately.
Apply predictive maintenance in your organization.
The demand was already leaving signals in the data: sales, orders, campaigns, seasonality and inventory. The difference was turning those signals into actionable forecasts.
More accuracy, less tied-up stock and much more efficient business planning.
