SUCCESS STORY

Solistica: planning intelligence

Solistica – Planning Intelligence

Implementing Machine Learning models focused on logistics operations optimized vehicle assignment for distribution. The website enables real-time monitoring of the entire operation.

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The challenge

Solística took between 5 and 10 hours to complete a planning process without considering all the variables. A platform is needed to solve the problem of allocating vehicles to FEMSA's demand, delivering a list that considers variables such as real-time location, occupancy status, travel, loading/unloading service windows, capacity, and traffic.

The solution

Development of a SaaS solution with a website for configuring, controlling, and administratively monitoring operations, a mobile app for drivers, data repositories, and dashboards on Google Cloud. The solution enables extraction, transformation, storage, processing, and analysis of the inputs needed to meet the requirement.

Project results

Real-time bulk vehicle planning and assignment in under 1 hour, replanning during operations, data repositories for building dashboards based on proprietary metrics and indicators, adherence to service windows at origin and destination with an 8% time reduction, and control of execution and information about assigned trips without phone calls.

It is now possible to inform the customer (Coca Cola Femsa) and the freight provider (Solistica) of the operation's current status in real time to support decision-making.

About the Customer

Solistica is a leading Latin American provider of comprehensive logistics solutions, with extensive experience in distribution and warehousing services that enables it to offer service assurance, cost reductions, and full supply chain visibility to address the challenges and complexity of the Colombian and LATAM models.

Figures and results correspond to the published project.

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