Case studies

Enhancing DB Schenker’s US logistics operations with robotics and AI technology

August 29, 2024

The Benefit

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Fostering an environment of open communication encourages team members to share their perspectives and insights, enhancing the overall quality of decision-making.

6% increase in inventory accuracy

Within three months, DB Schenker saw a substantial improvement in inventory accuracy across the site.

Eliminated manual discrepancy checks

AI and computer vision made crucial operational information readily accessible, removing the need for time-consuming manual checks.

Introduction

DB Schenker, a global leader in logistics and supply chain management, partnered with Dexory to introduce robotics and AI technology into the US market. This collaboration aimed to address the day-to-day challenges of real-time warehouse intelligence and occupancy tracking while optimising resource utilisation across DB Schenker's operations.

“The deployment of Dexory’s robotics and AI solution underscores our dedication to staying at the forefront of technological advancements and highlights our pursuit of operational excellence.” Daniel Spencer, Director - Solutions & Engineering, DB Schenker Americas

The challenge

DB Schenker faced several operational challenges to maintain its leadership in the logistics industry. The need for accurate, real-time operational context across vast warehouse spaces was critical to maintaining efficient operations. Traditional methods of manually checking inventory discrepancies were time-consuming and prone to error. As demand for logistics services grew, optimising the use of warehouse space and resources became increasingly important.

The solution

DB Schenker deployed DexoryView to scan the Very Narrow Aisle (VNA) areas of the site, covering 40,000 pallet locations daily and providing complete ground truth across all inventory levels. Sophisticated AI and computer vision delivered clear visual insights for every shelf and height level, eliminating the need for manual discrepancy checks. By highlighting priority actions and streamlining processes, DexoryView enabled data-driven decision-making and more effective deployment of robotics and AI across operations.

The benefit

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6% increase in inventory accuracy

6% increase in inventory accuracy

Within three months, DB Schenker saw a substantial improvement in inventory accuracy across the site.

Eliminated manual discrepancy checks

Eliminated manual discrepancy checks

AI and computer vision made crucial operational information readily accessible, removing the need for time-consuming manual checks.