Improving Inventory Management for Aviation Parts with Advanced Vision OCR Technology
Case Study
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Pallets
28,000
SKU's
371,000
Pieces
32,000,000
Agricultural Machinery Manufacturer
Industrial
The agricultural machinery manufacturer were having issues locating components and parts within the warehouse that were on the system, and that in turn was holding up the distribution line of completing the manufacture of tractors and machinery for customers.
The manufacturer needed a company with good technical knowledge and experience to carry out an inventory of parts in the factory and two distribution centres in Brazil, so required RGIS to provide the following:
Customers choose RGIS for agricultural parts stock counts because our expert teams deliver precise, consistent inventories across diverse and hard-to-track components, improving accuracy, reducing downtime, and ensuring reliable availability for farming operations.
The agricultural machinery manufacturer partnered with RGIS to complete the agricultural parts stock count project, and RGIS provided the following:
RGIS team visited the factory and distribution centres and presented a very detailed plan of how the warehouse and factory stock management process could be improved
Scheduled a team of over 160 experienced RGIS auditors to count the warehouse
Teams counted and located all stock items across the factory and distribution centres, including locating items with non-standard packaging and out of stock items
An accurate database was created to identify each item and the location in the warehouse
The agricultural machinery manufacturer found by outsourcing the agricultural parts stock count project to RGIS, the following results were achieved:
RGIS teams accurately counted over 28,000 pallets, 371,000 SKUs and over 32,000,000 pieces
100% of items in stock were counted and locations identified
A bespoke dashboard was created for the customer by RGIS
The customer was able to release 400 tractors that were held in the yard due to lack of components

With up-to-date data on the system there was a 5% reduction in assembly line downtime due to lack of parts. Accurate stock on hand levels meant a 99% reduction in unnecessary purchases.