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Tompkins Solutions Partners with Softeon to Deliver Intelligent Software to Warehouse Operations

Strategic partnership will provide innovative warehouse software solutions to help organizations improve order fulfillment and overcome operational challenges.

Tompkins Solutions Partners with Softeon to Deliver Intelligent Software to Warehouse Operations

Tompkins Solutions, a leading supply chain consulting and material handling integration firm, today announced a strategic partnership with Softeon, a global provider of innovative supply chain software. This collaboration will provide advanced warehouse execution system (WES), warehouse control system (WCS) and warehouse management system (WMS) solutions to help organizations improve order fulfillment and overcome operational challenges.

Powered by Softeon, Tompkins Solutions’ Cornerstone WES orchestrates and optimizes processes to increase throughput, efficiency and cost savings. The vendor-agnostic, robust communication platform acts as a central hub for warehouse operations, providing seamless integration with a wide range of automation systems and technologies. Cornerstone can be deployed as a standalone solution with true WES capabilities such as wave and waveless batch management, pick & put to light, packing, and full warehouse orchestration. It can also be deployed in conjunction with Softeon’s WMS or an existing WMS in automated, manual or hybrid environments, offering unmatched flexibility that enables companies to remain agile and maximize performance, service levels and ROI.


“With the complex and connected nature of supply chains today, it is imperative for people, processes and technologies to operate seamlessly to increase resilience and meet growing demands,” said David Latona, CEO of Tompkins Solutions. “We’re excited to join forces with Softeon to deliver customized, flexible solutions that enable our customers to drive value and future-proof their warehouse operations.”

“Both Softeon and Tompkins Solutions want the best for our customers, including increased efficiency and profitable growth,” said Jim Hoefflin, CEO of Softeon. “Tompkins Solutions’ expertise in warehouse design and implementation, coupled with our innovative software suite, enables us to fulfill our shared commitment of providing customer-centric, vendor-agnostic supply chain solutions that help organizations remain competitive and achieve long-term business success.”

Softeon and Tompkins Solutions will be exhibiting at MODEX 2024, March 11-14 at the Georgia World Congress Center in Atlanta. Visit Softeon at booth #C7466 and Tompkins Solutions at booth #A11323 to learn more about the latest innovations in warehouse automation and supply chain operations.

About Tompkins Solutions
Tompkins Solutions, a subsidiary of Tompkins International, is a global supply chain services firm dedicated to helping clients achieve supply chain excellence and profitable growth. Founded in 1975, Tompkins has integrated its decades of experience in strategy, commerce, logistics and technology to provide unique supply chain consulting and material handling integration solutions. By combining best-in-breed services and technologies, Tompkins delivers a true end-to-end supply chain solution, enabling clients to improve the customer experience and ensure long-term success. Tompkins is headquartered in Raleigh, North Carolina and has offices throughout North America. For more information, please visit www.tompkinsinc.com.

About Softeon
Softeon is a WMS provider focused exclusively on optimizing warehouse and fulfillment operations. For over two decades now, we have been helping our customers succeed in optimizing their fulfillment operations. Investing in R&D enables us to develop software to solve the most complex warehouse challenges. Softeon is laser-focused on customer results, with a 100% track record of deployment success. We believe warehouse leaders shouldn’t have to settle for a one size fits all approach to technology. For more information, please visit www.softeon.com.

https://www.tompkinsinc.com

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