Cases where AI, analytics, and automation cut costs, raised revenue, and sped up decisions — across logistics, retail, real estate, and manufacturing.
A new project is in the works — details will appear here soon.
A chat assistant that answers business questions in plain language and returns the actual numbers from corporate data — loading, planning, forecasts, fleet. The figures match the official reporting, so teams can rely on them in daily planning.
My own product: a conversational agent with memory across sessions and answers that stay on track in a domain where the cost of a mistake is a person. The proving ground where I test what later goes into corporate assistants.
Consulting and development of planning modules for a large food manufacturer: computing the optimal production batch size per line and product — fewer changeovers, no more tiny batches, lower unit cost.
AI-driven planning of how goods move from plants to stores across the country — cutting total logistics costs by up to 8% while keeping deliveries on time.
Automated equipment repair planning with machine learning that flags failures before they happen — delivering 20% annual savings on repair budgets.
Search-query analytics for Wildberries: finds queries whose frequency is spiking — to catch product trends early and guide assortment and purchasing decisions.
A planning system that decides how much fuel to deliver and by which routes for a nationwide tanker fleet — less mileage, fewer shortages, lower cost.
A pricing model for apartment rentals that adjusts the rate to demand, season, and the local market — built to reduce vacant days and increase income per unit.
A new project is in the works — details will appear here soon.