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Data Science for Predictive Route Optimization
For a Leading FMCG Distribution Brand

Architecting a predictive Data Science and AI ecosystem to dynamically optimize daily beat routes, replacing intuition-based planning with revenue-optimized algorithms to maximize field sales conversions.

30%
Increase In Visits/Day
500+
Sales Representatives
Revenue-Optimized
Routing Algorithms

The Challenge

The client sought to empower their FMCG field sales force by optimizing how representatives navigate extensive daily outlet beats. With reps managing up to 60 outlets but only possessing the time to visit a fraction of them, manual planning often led to suboptimal routing and missed high-value opportunities.

The Solution

Nineleaps engineered a dynamic outlet recommendation engine powered by advanced Data Science algorithms. By synthesizing historical ERP sales data, predictive ordering signals, and GPS intelligence, the solution automatically generates mobile-friendly, revenue-optimized routes. This transforms daily execution by intelligently balancing travel proximity with the highest algorithmic probability of sales conversion.

Services

  • Agentic Ai
  • Data Science & AI

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