Faced with this challenge, the company tasked Saggezza with developing a solution that could not only reduce the total shipping costs but also optimize the batched materials into workable configurations for distribution. Saggezza’s solution to the problem was to introduce data and analytics into the mix, with an internal team leveraging machine learning to solve the demonstrated pain points.
Thanks to the 10-year involvement with this company, the delivered solution has already been beneficial. By using artificial intelligence and machine learning to solve the configuration and batching problems, the client will be able to save more than $70 million, while an optimized configuration can be identified in less than 90 minutes.
In addition, the innovative use of AI/ML in a real-world problem saw Saggezza receive an Artificial Intelligence Excellence Award from the Business Intelligence Group.