An AI-driven demand planning software tailored to the needs of the F&B and Cosmetics industry. We predict the exact demand for your products using historical sales data and secondary data such as weather, high demand events, promotions, holidays, and many more.
Optimized inventory management to avoid waste & stock-out situations. Our inventory management algorithm reduces your inventory levels while maintaining the right safety stock. For our algorithm, we consider relevant factors for food and beverage manufacturers such as shelf life requirements, disposal costs, transportation costs, and many more. This avoids stock-out scenarios on one side and overproduction on the other – the right quantity at the right place at the right time!
Efficient production and replenishment planning for producers and wholesalers. Our automated planning module provides a cost-optimal production plan. The module decides on the best production plan by balancing the service level, product waste, and supply chain costs. This module is also able to collect user feedback on the production plan, which provides a valuable feedback loop to feed the machine learning models continuously.
Material and packaging planning adds another level of planning, allowing our customers to easily break down demand forecasts and cost-optimal production recommendations, just like a BOM explosion. This provides our customers with the exact amount of material and packaging required for each product to be produced!
SILIMA enables companies to model changes in their supply chain and thus prepare for future events at an early stage. Users can create what-if scenarios by selecting and adjusting various parameters to model changes in their supply chain. For example, future effects in the event of rising costs due to inflation or rising transportation costs due to higher energy prices can be modeled and displayed in illustrative charts.
The new ABC analysis function helps companies to classify their inventory by value in order to create more transparency over which products are selling well and which are languishing in the warehouse. This approach identifies top sellers (A items), moderate selling products (B items) and “bench warmers” (C items), so companies can focus on the best-selling products and eliminate products that sell poorly and cause high storage costs.
