LKM Polymer
Industry : Manufacturing
A large distribution company that supplies paints and coatings from abroad. The assortment includes more than 600 unique stock keeping units (SKUs) — from paint cans to various spray cans and adhesives.
Task
How we increased forecast accuracy by 22% and saved 300 million rubles for an automotive paint distributor
AI implementation process
Data collection
Analysis of historical order and sales data (up to 80% of model success depends on data quality)
External factor enrichment
Integration of currency rates, marketing activities, demographics, weather forecasts, and seasonality
ML model development
Neural networks to identify complex relationships between factors and sales
Deployment and forecasting
Automatic forecast generation in workflows with regular updates
Client results during the AI implementation process
Revenue growth with AI
Revenue growth without AI
according to McKinsey & Company
Forecast accuracy increased by 22%, reaching 89%
300 million rubles saved through procurement and inventory optimization
Automatic ordering for popular items
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