The client faced difficulties in inventory management, leading to overstocking, stockouts, and increased operational costs.
Additionally, the lack of real-time sales data made it challenging to analyze customer preferences and trends.
Deployed IoT sensors on manufacturing equipment to monitor performance and predict maintenance needs.
Implemented a digital,production planning system to optimize scheduling and resource allocation.
Introduced robotic process automation (RPA) for repetitive administrative tasks like order processing.
Integrated a data analytics platform to collect and analyze customer interactions across web and mobile platforms.
Used predictive analytics to segment customers based on their purchasing behaviour.
Developed personalized marketing campaigns using insights from the data.
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