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Transport & Logistics
AI ML Consulting, Data Analytics, Data Warehousing
The client has a fully automated public bike sharing system that spans across various cities in India, including Ranchi, Surat, Kolkata, and Prayagraj. The client was looking for a dynamic demand forecasting system to predict customer demand and reduce costs and overhead in a more accurate manner.
A dynamic demand prediction system and analytics solution was provided to the client in a span of 8 months that assisted the client in reducing overhead costs by 8.6%, and the movement of bikes from one place to another based on demand further reduced the cost by 7%. The demand prediction also helped them identify where they were doing good and where they had scope for improvement, which resulted in better marketing and budgetary allocation that resulted in overall 4.76% YOY growth in 2022.