FRIGG, by LISDATA, enables real-time demand forecasting
The LISDATA team has developed FRIGG, a SaaS demand forecasting solution designed to improve real-time inventory management and control. This tool, based on advanced data analytics, Business Intelligence, and artificial intelligence, enables our clients to generate future scenarios and, in this way, design appropriate strategies and plan their stock levels efficiently. We have successfully tested it with clients who sell their products on digital marketplaces such as Amazon.
How our demand forecasting tool works
Once operational, FRIGG connects to Amazon’s API and enables our client to obtain a summary of their sales and information such as the number of visits their products receive or the retention times associated with delivery. Through an algorithmic engine, our solution performs multiple time-series forecasts for each catalogue item and selects the best results, while also determining purchasing requirements. The client can easily view all results and filter them by item, supplier, or market.
FRIGG enables our clients to manage their inventory more effectively and automate purchasing, avoiding both overstock and stockouts, while increasing the efficiency and profitability of their processes.

Financial data
| Implementation period | 2020 |
| Granting body | CDTI |
| Project title | FRIGG |
| Budget | €192,978.00 |
| Amount awarded | €49,169.44 |
| Award date | 2020-05-07 |
| % | 25 % |