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Case study

GPS monitoring solution for sales agents

A data-driven GPS monitoring and routing system that helps sales teams work with higher efficiency and lower operating costs.

Industry
Artificial Intelligence, Logistics
Timeline
6 months
OutcomeWhat the work delivered
6 months
to delivery
GPS-based
field-agent monitoring
Architecture
designed and shipped
The challengeThe brief, and what was at stake

Sales agents often struggle with inefficient travel schedules and poor visit planning, leading to wasted time and higher costs. Our client needed a system that could optimise daily routes, reduce travel time, and adapt dynamically to real-time conditions.

We developed a GPS-based optimisation system that analyzes traffic patterns, integrates multiple transportation modes, and dynamically adjusts schedules. Using advanced routing algorithms, machine learning, and real-time traffic updates, the solution significantly improved efficiency and reduced operational expenses.

Final results: what did we deliver?

  • 30% reduction in travel time: Optimised routes decreased commute duration significantly.
  • 20% more client visits per day: Improved scheduling allowed agents to handle more appointments.
  • Real-time route modifications: AI-driven modifications ensured agents followed the most efficient path.
  • Lower operational costs: Reduction in fuel consumption and travel expenses.

This solution offers a scalable, data-driven approach to sales force optimisation, enabling businesses to enhance efficiency while minimising costs.

Visibility in the fieldNeed real-time visibility over field agents?

GPS-based monitoring and routing wired into your CRM, designed for retail and logistics scale.

How we built itWhat WislaCode designed and shipped
01Defining the core system architecture

Many sales teams struggle with inefficient logistics, leading to lost opportunities. We designed an architecture that incorporates AI-driven route optimisation, traffic prediction, and seamless integration with CRM systems to improve overall efficiency.

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02Suggested key architectural solutions

· Graph-based route modeling ensures optimal pathfinding while dynamic scheduling adjustments enable real-time updates for unexpected changes.

· API-first integration allows seamless synchronisation with sales management software.

· AI-powered route efficiency prediction continuously improves planning, and event-driven architecture ensures smooth real-time operations.

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03Business benefits

We provided a structured roadmap outlining when to implement each optimisation phase, associated costs, and projected business benefits. Our solution ensures a quick return on investment through improved efficiency, cost savings, and higher productivity.

GPS Monitoring Solution empowers companies to optimise sales agent performance, strengthen client relationships, and drive down operational expenses. This flexible and scalable system suits businesses across various industries, from retail to logistics and beyond.

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Part of a broader capabilityOne engine, across field operations

This is one of our AI route and territory optimisation projects - the same operations-research and machine-learning engine we apply to field forces across healthcare, logistics and sales.

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