CASE STUDIES

Optimisation of Spare Parts

SUMMARY

One of the clients was facing issues on duplication of information in its inventory management as they were operating over different systems as well as geographic locations. Our tool provided assistance in harmonising the data and various forecasts helped in the reduction of costs.

METHODOLOGY

• Removal of duplicates in data

• Enrichment of existing data from various databases on spare parts

• Harmonisation of the data

• Forecasts on demand and system failures using Machine Learning algorithms

TAKE AWAYS

• Optimisation of inventories across the various geographic locations

• Efficient use of the spare parts

END RESULTS

Significant reduction in inventory costs.