Achieve your AI potential
A recent market study commissioned by Lucas revealed that US and UK companies are quite bullish on the potential for artificial intelligence in their warehouses and distribution centers. The study revealed their priorities for using AI, expected returns, and perceived obstacles to further AI adoption. Here are some of the key findings.
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AI Offers Massive Potential Performance Gains
The distribution center is a target rich environment to use AI to optimize performance. Respondents see a big potential to drive significant operational and customer experience gains.
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AI Can Address Challenges in Every Industry
Manufacturers named Distribution Space Utilization as the top challenge AI would address.
Order Fulfillment Accuracy and Health and Safety Risks were ranked second and third.
Medical and healthcare products companies named Minimizing DC Travel as the top challenge AI would address.
Health and Safety Risks and Labor Staffing Management and Planning were ranked second and third.
Food, beverage and CPG companies named Transportation Planning and Routing as the top challenge AI would address.
Distribution Space Utilization and Minimizing DC Travel were ranked second and third.
Retailers named Labor Staffing Management and Planning as the top challenge AI would address.
Transportation Planning and Routing and Distribution Space Utilization were ranked second and third.
Get Started With These Helpful Resources
Voice Picking Software Selection Guide
This guide dives into determining whether voice is right for your warehouse, key benefits and features, hardware options, WMS and ERP integrations and system pricing & implementation costs.
AI-Based Travel Optimization
This 10 minute demo dives into the various components of our AI-based optimization tool – dynamic prioritization, path optimization and intelligent batching. Fill out the form and we will send you the demo.
Make Managers More Productive With Machine Learning
Machine learning and AI are expected to have a growing role in warehouse operations over the next ﬁve years. This paper is intended to help operations, engineering and IT executives understand what they need to know about this emerging technology, and how it may be used in the near future to improve DC planning and operations.