Industry tag: LOGISTICS
Note: We take customer confidentiality very seriously. Our customer kindly asked us not to be named in this case study, but approved the content below.
PROCESSING AI Logistic Control
To harness the potential of today’s supply chain as a strategic asset, logistics managers need to make more data-driven decisions supported by valuable information such as location, storage and delivery status, fuel expenditure…
Idea
The supply chain company provides a data-driven software that aims to optimize operational processes by maximizing storage information accuracy, cutting downtime and controlling fuel expenses.
Pains / Challenges
Supplier valuable data is scattered across paper forms, spreadsheets, SRM and ERP systems… The lack of centralized access and simplified view of the supply chain slows down
Solution: Large-scale training data for logistics automation
Our mission was to train the model to deduce ways to improve the supply chain and production, by analyzing reports and operations statements forms. To do this, our teams identified and extracted information related to the values and categories of the statements.
Results
20% Improvement on service levels and On-Time-In-Full deliveries
30% Cost decrease from shipping costs
50% Cost decrease from inventory levels and holding costs
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