AutoScheduler.AI, the company that pioneered warehouse orchestration, today announced the AutoScheduler AI App Builder, a new capability within its Warehouse AI Platform. The AI App Builder lets warehouse planners, supervisors, and site leaders create, deploy, and use AI-powered applications tailored to their operations in days, without waiting on IT or a software vendor's roadmap.
New capability lets warehouse planners and floor leaders create and deploy applications on live warehouse data in days, without waiting for IT or software roadmaps.
AI App Builder marks AutoScheduler.AI's evolution from warehouse orchestration pioneer to the Warehouse AI Platform: one platform that orchestrates everything inside the building and now empowers site teams to solve the problems that fall between the cracks of their systems of record, including warehouse management, labor management, yard management, and automation systems.
"Warehouses run on massive systems that are expensive and slow to customize, so operators fill the gaps with spreadsheets, business intelligence tools, homegrown tools, and tribal knowledge," said Keith Moore, AutoScheduler.AI CEO. "The AutoScheduler AI App Builder closes that gap. The people who see the problems every day can now fix them, building applications on live warehouse data, backed by real optimization math, in days. We still orchestrate all the systems inside the building; now we also hand the floor the tools to solve everything in between."
The AI App Builder runs on AutoScheduler.AI's semantic layer of warehouse knowledge, live warehouse data, and a library of production-grade optimization algorithms. Users describe what they need in plain language, and the AI App Builder creates an application that can inform, monitor, and automate the process.
Unlike generic AI or low-code application builders, AI App Builder is purpose-built for warehouse operations. Six years of experience across nearly 100 sites has created a semantic layer that understands warehouse data across connected systems, paired with a library of warehouse-specific optimization solvers. Applications built with it draw on normalized warehouse data and optimization math developed for real-world warehouse operations, not generic AI-generated logic.
"Anyone can point AI at a warehouse," said Kunj Pandya, Head of Product and Customer Success at AutoScheduler.AI. "The difference is that our semantic layer already knows what the data means across the WMS, ERP, and labor systems, and every app built can call on optimization solvers proven across nearly 100 sites."
Instead of filing a request with IT or waiting on a vendor's roadmap, warehouse teams build the applications themselves. In a recent customer's working session, an application was stood up in less than 15 minutes. In another case, a site planner discovered AI App Builder independently and built a replenishment-monitoring application. The savings were large enough that the site budgeted six figures for it annually. The build, deployment, validation and savings commitment all happened within two weeks.
"The AutoScheduler App Builder feature is one of the best integrations of software and AI that I've seen so far. It helps bridge one of the biggest challenges in software development: the gap between understanding a business problem and turning that knowledge into a practical digital solution. Using the App Builder, we've been able to bring important data directly into our decision-making venues, change workflows, close information gaps, and significantly speed up the flow of information between different stakeholders."
AI App Builder runs on the same integration that powers AutoScheduler.AI's orchestration, so customers do not need separate data infrastructure for each application. Applications live inside the existing AutoScheduler.AI platform alongside tools such as Daily Plan, Wave Planner, Network Scoreboard, and Warehouse AI Agent. Where appropriate, they can write tasks back into the WMS for execution on the warehouse floor.
"AutoScheduler.AI was the first to fully orchestrate all labor, resources, and inventory in the warehouse six years ago," said Moore. "We created the category. Our expertise as AI leaders, along with our access to normalized warehouse data and our unique optimization algorithms, led to the creation of the AI App Builder for warehouse floor leaders to build and deploy solutions that meet their specific needs."
About AutoScheduler.AI
AutoScheduler.AI is a Warehouse AI Platform that layers on top of existing WMS, LMS, YMS, and automation systems to orchestrate labor, dock, and inventory decisions in real time. Powered by a continuously running optimization engine, it harmonizes data across connected systems and intelligently allocates the workforce, sequences wave releases, assigns dock doors, and flags at-risk shipments.
