Replenishment Optimizer
Replenishment Optimizer is a comprehensive inventory solution for food distributors that integrates daily demand forecasting, spoilage reduction through lot expiration tracking, advanced promotion filtering, and profit simulation to enhance buying precision, minimize waste, reduce excess inventory, and provide detailed demand and profitability insights for smarter, data-driven replenishment decisions.
Forecast Daily. Replenish Smarter.
Replenishment Optimizer is an end-to-end inventory optimization solution with integrated demand forecasting, replenishment optimization, and profit simulation for food distribution leaders.
Confident Buying With Precision
Replenishment Optimizer moves beyond traditional ERP or basic buying tools to provide greater control over your buying process and inventory levels.
- Increase Profitability: Drive business success through intelligent automation and more timely data-driven buying decisions.
- Minimize Perishable Waste: Systematically leverage daily lot expiration to radically reduce spoilage and purchase only what you need.
- Reduce Unproductive Inventory: Minimize overstock and optimize safety stock with visibility into future sellable inventory.
- Unparalleled Transparency: Gain detailed insights into demand and profitability that buyers have not seen before.
Replenishment Optimizer: Key Capabilities
Standardize your buying practices so your team can consistently drive profitability and customer service.
- True Daily Demand Forecasting: Forecasts update every day, allowing you to take action before last week’s numbers impact your bottom line.
- Service And Lost Sales Analysis (SALSA): Automatically removes customer/store repeat orders during out-of-stock periods that inflate forecasts, freeing buyers from manual adjustments.
- Advanced Promo Filtering: Optimize your post-promotion DC-level forecast by chain, customer, or ad group, rather than relying solely on DC-level data.
- Lot Spoilage Analysis: Utilizes accurate, daily expiration data from the warehouse to predict lot-based future spoils, ensuring the right sellable stock is on hand to meet customer demand.
- Data Scrubbing: Automatically detects and removes demand anomalies from forecasts, reducing safety stock and improving cash flow.
- Customer Demand Visibility: Provides direct visibility down to the individual customer or customer group, enabling more informed forecasting decisions.
Customer Testimonials
“A big impression I had after using Replenishment Optimizer wasn’t so much the orders it was building for me, but rather the orders it wasn’t building. For one supplier in particular, I had the practice of buying a truck-load every 10 days...I could actually wait a month before I would need to order again.”
Jose Genére
President & Owner
“The team is exceptional. Very little IT support was needed on our side, and we had an uneventful go live – the benchmark of a successful implementation.”
Rich Stuber
VP of Information Technology
“It is essential how quickly Replenishment Optimizer and its forecasts react to change because change is a constant in our business.”
Marc Lajoie
Manager of Procurement
Related
Forecast Daily, Replenish Smarter: How to Improve Service Levels, Reduce Spoilage, and Increase Profitability
The webinar titled "Forecast Daily, Replenish Smarter" demonstrates how food distributors can enhance service levels, reduce spoilage, and boost profitability by using BFC Replenishment Optimizer to improve daily forecast accuracy and streamline replenishment processes, overcoming challenges like short shelf life and volatile demand that traditional ERP and spreadsheet methods struggle with.
Forecast Better, Replenish Smarter: How to Improve Service Levels, Reduce Spoilage, and Increase Profitability
The webinar by BFC Software, presented by supply chain expert Paul Van Stedum, focuses on improving daily forecasting and smarter replenishment using their Replenishment Optimizer tool, designed specifically for grocery and food service wholesalers to enhance service levels, reduce spoilage of perishables beyond just produce, and increase profitability by addressing challenges like vendor deals, seasonality, and the limitations of weekly forecasting and legacy systems.
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