Overstocking is Costing SMB's
Unreliable forecasting leaves manufacturers overstocked, tying up working capital, and incurring excessive holding and storage costs.
80%
of SMB's suffer from
overstocking
44%
of SMB's total inventory
was excess stock
The Issues with Manual Forecasting
Unreliable Forecasts
Forecasting demand manually leads to unreliable and inconsistent results, often leading to overstocking
Hours Spent Forecasting
Forecasting demand manually is time consuming, taking hours each week and resulting in infrequent monthly forecasts
Lack of Granularity
Manual forecasting makes it difficult to generate granular forecasts across location, supplier, category and SKU
ML-Powered Forecasts
More Reliable and Consistent Forecasts
Automatic Prediction Pipeline
Save Time Generating Forecasts
Scheduled Predictions
Generate Frequent Forecasts
Flexible Granularity Levels
Forecasts for Each Product and Location
More Reliable and Consistent Forecasts
Save Time Generating Forecasts
Generate Frequent Forecasts
Forecasts for Each Product and Location
More Reliable and Consistent Forecasts
The Engine uses machine learning models trained on your historical and external data. Generate data-driven demand forecasts that are more reliable and consistent than spreadsheets or ERP software.
Save Time Generating Forecasts
Generate Frequent Forecasts
Forecasts for Each Product and Location
Book a Demo
Have a call with us to discuss your need and determine if the Engine is right for you
Solution Workshop
Together, we’ll help you to define your use case and determine the value it will deliver
Data Review
Our team will gauge your data and technical infrastructure to support your implementation