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JASCI Introduces Phoenix, the AI-Native Warehouse Management System

Image taken from JASCI website

JASCI Software today announced JASCI Phoenix, an AI-Native warehouse management system built around intelligent agents, not screens bolted onto yesterday’s architecture. Phoenix does not add a chatbot to a traditional WMS. AI is the operating layer: it reasons about the warehouse, collaborates across functions, and acts.

Traditional warehouse software records transactions and waits for people to click. Phoenix continuously evaluates orders, inventory, labor, automation, shipping, and service commitments, then coordinates what should happen next.

“The WMS category was built for a different era,” said Craig Wilensky, CEO of JASCI Software. “Better screens and better reports are not the next generation. The next generation AI WMS understands the operation, reasons about what should happen, collaborates across functions, and takes action. That is Phoenix.”

At the center of Phoenix is AI Studio, where operators work with specialized agents across warehouse operations. Agents hand work to one another when decisions cross boundaries, allowing the warehouse to operate as a coordinated intelligent system.

Phoenix puts an AI sidebar on every operational page and introduces AI remote control, allowing the assistant to fill forms, click actions, and drive workflows while surfacing issues for human approval.

Phoenix’s architecture is also how JASCI builds. AI-native engineering lets JASCI ship product approximately 50 times faster than the traditional WMS cycle of specs, custom code, and annual releases.

“Cloud was step one. Providing Flexibility was step two. Native AI is the leap that lets an operations team change the warehouse as fast as the market changes and lets us build the next capability at the same pace,” said Dr. Dan Napoli, CTO of JASCI. “When you develop 50 times faster, the roadmap is not a promise. It is a cadence.”

Phoenix is built on more than a decade of JASCI warehouse technology. JASCI modernized and refactored more than 3.5 million lines of software, and its established platform processes more than 4 billion transactions annually.

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