
Numina Group and RateLinx TMS to Showcase Unified WES-TMS Solutions at MODEX 2026, Booth B14545, and Show How Mid-Market Firms Can Win Against the Competition with Low-Touch, High-Performance Warehouse Automation
Woodridge, IL — April 2, 2026 —In an era of escalating consumer expectations, mid-market distributors must evolve or risk becoming obsolete. At MODEX 2026, Numina Group (Booth B14545) will demonstrate how companies can pivot from traditional “storage and discrete picking” to “continuous optimized order flow” that drastically reduces the cost-per-order fulfilled.
For mid-size DCs handling 2,000 to 5,000+ lines per day, continuing to rely on ERP processes alone is not a sustainable practice. By integrating Numina Group’s Real-time Distribution Software (RDS™) WES with RateLinx TMS, businesses can achieve:
“When a warehouse is empowered with lean processes and the right blend of automation, better execution decisions happen automatically,” said Dan Hanrahan, CEO of Numina Group. “The synergy between RDS WES and RateLinx TMS ensures that every order is released, picked, and shipped via the lowest-cost, most efficient carrier for both parcel and LTL transport paths.”
The Numina Advantage: Design First, Hardware Second
Unlike equipment vendors who lead with hardware sales, Numina Group follows a design-first approach. This ensures the solution fits the operation’s data profile—not the other way around:
High-Impact, Low-CAPEX RDS Automation Highlights:
Visit Numina Group at MODEX 2026, Booth B14545, to see Batchbot 2.0 voice picking + AMR automation in action and learn how to scale your fulfillment operation for the next five years of growth.
Numina Group is a leading warehouse automation integrator and software developer. Its RDS™ platform provides Tier 1 WES/WCS capabilities to help mid- to large-scale distribution centers increase throughput and profitability.
RateLinx is a premier provider of TMS and freight audit/payment solutions, helping companies identify the most cost-effective shipping strategies through data-driven intelligence.