Utilize Machine Learning to predict demand and make intelligent recommendations for optimizing inventory
Based on historical sales data, the machine learning models accurately forecast demand.
Know how much to order and when to order, to ensure optimal inventory levels.
Test the impact on inventory levels if variables like lead time, sales numbers, or trends change.
Like having a crystal ball
Empower warehouse and inventory managers with the knowledge to predict the future. Our Inventory Optimization API provides business critical information that makes ordering more accurate.
Thanks to Resolve's Inventory Optimization service our customers are able to use AI in their replenishment process. Using AI for demand forecasting and purchase order suggestions allows them to cut down on inventory costs and increase their service level at the same time.
AI models are experts in recognizing patterns in vast data sets, and can with high accuracy take many variables into consideration when predicting what the future demand will be, leading to more holistic information to base purchase decisions on and ultimately a more accurate inventory.
One thing is knowing what and how much to order, but when to order is equally important. Our Inventory Optimization API calculates the re-order point based on historical information about lead time, safety stock requirements, trends, inventory classification and more.
Our Inventory Optimization API analyzes fluctuating sales data to spot trends, events, and seasonality and calculates the impact on order quantities. In addition, it's possible to create real-time scenario testing by changing the variables and immediately see the impact on order quantity.
Try the Inventory Optimization prototype to get inspiration for how you can build the functionality into your product.