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Solving first mile logistics problems with spatial data science

The central question for logistics service providers is,“How can goods be distributed from supply points to demand points at the lowest possible costs?” The need to answer this question has never been more important given the number of retailers offering delivery services, and in this post learn why so many businesses are turning to spatial data science for new solutions to old problems.

Read our latest spatial data science post
Solving first mile logistics problems with spatial data science
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Greater routing efficiency
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Greater routing efficiency

Create more spatially compact routes for your fleet by analyzing historic delivery patterns. Use new data about traffic, weather, and speed limits as part of your constraint-based optimization.

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Greater routing efficiency

Reduced supply chain costs

Whether it’s parcel distribution, waste management or inventory optimization - our logistics solutions provide results - allowing you to decrease fuel costs, save time, and decrease wear and tear on your vehicles.

See how Publix could make savings of $1.1m
Reduced supply chain costs
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Improved customer service
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Improved customer service

Keep your customers happy with more accurate time window estimates and less missed appointments.

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Improved customer service

Want to know how it would work with your data?