META-aiviCase Study
Parts Inventory Management Using AR + AI
Customer
The customer is a mechanical equipment manufacturer and supplier with clients in every continent.
Case
Parts Inventory Management
As a transportation method and leisure activity, cycling has become increasingly popular throughout the world. To capitalize on this trend bicycle manufacturers are having to ramp up production and optimize their supply chain. As a supplier for bicycle manufacturers, the customer needed a solution to keep an accurate inventory to ensure that their clients never run out of parts.
Challenge
Volume and Variety of Parts Complicate Inventory Management Process
As a mechanical parts supplier, the customer has a large inventory of steel pipes and other bicycle components of varying shapes and sizes. For stocktaking, the customer relied on a basic system of manual counting – which was both inefficient and prone to mistakes (due to the difficulty for the naked eye to distinguish between pipe diameters of different sizes), resulting in calculation errors and inaccuracies. In addition, the complexity of the materials made it unfeasible to implement an automated counting solution.
Solution
Fast and Accurate Counting with META-aivi
META-aivi uses artificial intelligence to accurately identify size variations of the pipes instantaneously. Using the fast counting feature, all the different parts are classified and counted within seconds, with the results displayed immediately on the operator’s tablet screen. These results are uploaded to the company’s manufacturing execution system, helping to improve production output.
META-aivi Inspection Results
Before AI inspection:
The shape and volume of metal pipes make manual counting challenging
