FarEye’s Predictive Visibility Solution for Tata Steel BSL

Tata Steel BSL has partnered with FarEye to onboard its predictive visibility solution with the aim to improve in plant and in transit visibility, optimize
FarEye’s Predictive Visibility Solution for Tata Steel BSL
FarEye Tata Steel BSLFarEye

Tata Steel BSL has partnered with FarEye to onboard its predictive visibility solution with the aim to improve in plant and in transit visibility, optimize transportation costs, mitigate delivery delays, reduce loading times and slash manual dependencies. Tata Steel BSL is achieving high levels of operational excellence via efficient SLA (Service Level Agreement) adherence, key performance indicator benchmarking, bottleneck mitigation, and data-driven business risk calculations. The steel manufacturer now predicts estimated time of arrival with absolute precision, manages exceptions and risks proactively, and has gained end-to-end real-time visibility of ground-level operations.

Real-time tracking keeps the business associates posted on their shipments and ensures timely delivery of the same, bringing customer delight. AI and ML have improved our predictive and information analyzing capabilities through predicting the ETA (Estimated Time of Arrival), In-transit Performance, Loading and Unloading TAT (Turn-around Time), and our Allocation & Placement delays. It has had a compounded effect that can be scaled up effectively for all locations. This integrated platform through its various modules provides an efficient way to control and monitor our logistics processes and costs.”

By embracing FarEye's platform Tata Steel BSL is also driving automated delivery workflows including automatic order allocation. Leveraging ePoD (Electronic Proof of Delivery), Tata Steel BSL is now ensuring quick customer feedback on OTIF deliveries and shrinking paper usage. Achieving these new levels of logistics efficiency is positively impacting Tata Steel BSL's customer satisfaction scores and empowering them to become more competitive.

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