The Execution Advantage: Where Technology Ends and 3PL Performance Begins
Live webinar | Thursday, October 1 | 1 PM CT
AI and automation are becoming standard across 3PL operations. The advantage increasingly lies in how effectively they’re put to work.
New research from Elastic Solutions, sponsored by Datex, reveals how 100+ 3PL professionals are using these technologies, where they’re seeing results, and what challenges remain.
Join Datex and Elastic Solutions as we unpack the research and explore where AI is creating real value for 3PLs, from making it easier to adapt systems without relying on developers, to making faster, better decisions with analytics and accelerating implementations.
We’ll look at what’s working, what gets in the way, and why your WMS matters. Plus, see how Datex customers are already putting AI to work and get an early look at Datex’s unique approach to AI.
Meet the Presenters
Jason Stegent
Founder and President, Elastic Solutions
Jason Stegent is the Founder and President of Elastic Solutions, a provider of targeted digital event and demand generation solutions that help B2B marketers extend their reach, increase engagement with target audiences, and accelerate pipeline growth.
Bryan Batchelder
VP of Product, Datex
Bryan Batchelder is Vice President of Product at Datex, leading product strategy, roadmap, analyst relations, and technology partnerships for its WMS platform. A Datex veteran since 2009, he brings deep technical expertise and leads responsible AI adoption across the product and organization.
Frequently Asked Questions
What should I ask a WMS vendor about their approach to AI?
Ask whether adopting the vendor’s AI creates dependency on a specific model or provider, how the platform can take advantage of new AI capabilities as they emerge, whether it can use different AI approaches for different tasks, and how much flexibility you retain as the technology evolves.
Does a warehouse need one AI model, or different AI for different tasks?
Different warehouse AI tasks have different requirements. The best approach for forecasting may not be the best approach for analytics, optimization, or automation. A WMS built around one fixed AI model can limit your ability to use the right technology for each use case as AI continues to evolve.
How do I know if my WMS ties me to one AI vendor?
Ask directly: if a better AI model or provider becomes available next year, can you adopt it, or does that require a platform change? If your options depend entirely on your WMS vendor’s AI roadmap, that’s a form of lock-in, whether or not it’s labeled that way.