Algorithm slashed load mixing from 8 hours to several seconds, with 100% optimality – improving productivity 93%
Teranalytics created and deployed a personalized tool that allows the company to optimally load its trucks as function of order sizes, date constraints, as well as exclusion between similar SKU. The optimization engine has also been customized to fit in the company’s existing process, taking inputs as provided by the customers and producing outputs that can be directly passed on to downstream processes. The time spent on processing a customer was reduced by 95% and the company can focus on growth rather than on fulfilling existing customers.
1. Shipping solution always optimally satisfies customer constraints
2. Risk Mitigation: process is now internalized to company operation and can be run by anybody, instead of the risk with a single expert
3. Replacing manual work with automated optimization saved time, prevented errors, and reduced costs associated with sub-optimal loading.