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Last Mile Delivery Intelligence: AI-Powered Road Accessibility Analysis for Fleet Planning
FULL
Tuesday May 26, 2026 17:45 - 18:15 CEST
👾 DEV/TECH ARENA
Limited Capacity full
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LMDIS (Last Mile Delivery Intelligence System) is an AI-powered decision support tool for daily delivery fleet planning at Golilla. The system automatically analyses ~300 delivery addresses overnight, combining Google Street View imagery, OpenStreetMap road topology, and Claude AI vision to generate a structured operational briefing per order.
At its core, LMDIS resolves two simultaneous constraints: the minimum vehicle size imposed by cargo characteristics (weight, dimensions, product type — sourced via TMS API) and the maximum vehicle size permitted by road accessibility (carriageway width, turning radius, physical restrictions). The intersection determines the optimal vehicle assignment; when no intersection exists, the system identifies the nearest accessible point for the largest available vehicle and flags the conflict for manual resolution.
The road analysis engine follows actual OSM way geometry to sample points along both the delivery street and the access route from the nearest primary artery — eliminating the linear coordinate offset errors that make naive Street View analysis unreliable. A four-level heading cascade (OSM geometry → Google Roads snap-to-road → panorama inference → manual review flag) ensures no analysis proceeds with an incorrectly oriented image.
Speakers
AM
avatar for Phillip Rech

Phillip Rech

Product Leader, GoLilla
Phillip Rech I'm a Senior Digital & AI Manager at Golilla, where I lead digital transformation initiatives across logistics operations serving major retail clients including Leroy Merlin, Tecnomat, and Brico Center.
With a background spanning project management, enterprise architecture, and applied AI, I work at the intersection of operational complexity and emerging technology... Read More →
Tuesday May 26, 2026 17:45 - 18:15 CEST
👾 DEV/TECH ARENA 135 Rue Sadi Carnot, Ronchin, France
  Data / AI, Tools In Action

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