Customers Served
Production Facilities
Sales Channels
Dynamic beef prices varying week-to-week across 17 unique sales channels.
Complex cost structures: production, cost-to-serve, logistics, and regional tax variations.
Autonomous plants selling locally sub-optimized revenue and product allocations.
Manual processes were not able to manage vast product diversity.
Managing the abundant beef supply to prevent both surpluses (which led to waste due to perishability) and stock shortages was critical. Buying behavior varied significantly by customer type and sales channel, making accurate prediction across the diverse customer base essential.
Utilized clustering analysis to predict demand, optimize pricing, and strategically allocate products to maximize revenue and safeguard profits.
Analyzed customers’ buying behavior by volumes, frequency & intervals between purchases to predict demand.
Strategically allocated products, ensuring each item sold into the optimum sales channel to maximize demand & revenue.
Dynamically allocated each product to optimum sales channels & geographic regions, thereby safeguarding profits.
Demand Sensing Agents monitored DC inventory & rate-of-sale for each item:
Optimized allocation of products to the most profitable channels & regions.
Optimized production plans & cost-to-serve across all 65 facilities.
AI agents ensured a balanced beef supply, avoiding surpluses & gaps.
Significant growth
in overall sales volume
Far exceeded initial forecasts of 1.5–3%
The most amazing
benefit realized