Predictive Customer Analytics for Retention and Sentiment Analysis
Predictive Customer Analytics for Retention and Sentiment Analysis Challenges: Difficulties and...
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A major challenge faced by the client was inefficiencies in delivery operations. It also resulted in an increased fuel consumption, longer delivery times, and rising operational costs. The main issue was rout-planning, which did not take into account real-time traffic conditions and changing delivery times. This was impacting customer satisfaction because of late deliveries.
We developed a solution that optimized the delivery routes, reduced fuel consumption, shortened delivery times. The system provided insights based on real-time data and adjusted delivery priorities, ensuring customer satisfaction.
By implementing a direct route optimization system, our developers helped the retailer address their challenges in transport and logistics.
Predictive Customer Analytics for Retention and Sentiment Analysis Challenges: Difficulties and...
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