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170%Above peak season forecast
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98.5%Order accuracy during peak season
Built for manufacturers managing material flow, production-adjacent fulfillment, service commitments and disruption across warehouse and transportation operations.

Parts, materials, or finished goods are suddenly in the wrong place, so teams need to decide how to rebalance inventory and protect production-adjacent fulfillment.
Production schedules change or customer demand shifts, so teams need to decide which orders, materials and workflows to prioritize first.
A disruption threatens downstream schedules and customer commitments, so teams need to decide which shipments and orders to prioritize first.
Durham Brands
Strauss
Material delays ripple downstream fast, so an AI solution built for manufacturing has to do more than alert once something's already off track. See our checklist for evaluating an AI supply chain execution solution for what to look for.
A material shortage shouldn't be something your team discovers once the line has already slowed down. Infios AI works inside the same order, warehouse and transportation systems your team runs on, so it can pull forward a different order that's ready to run, keeping the line moving while the shortage gets resolved.
Predictive, generative, agentic and conversational AI work together on every material or schedule risk: sensing it early, deciding which order to protect, pulling a different order forward to keep the line moving and refining its calls with every production run.
Manufacturers don't need to transform the whole floor at once. Automated Order Entry agent is a common starting point: Infios AI reads a purchase order that came in as a PDF, email or scanned image and turns it into a validated load in the TMS, instead of someone keying it in by hand. From there, teams can extend that autonomy into warehouse operations and outbound shipping.
A faster decision on the floor still has to respect a production constraint, not override it. Manufacturers apply their own business rules and approvals, like requiring a scheduler's sign-off on any change affecting a committed run, keeping a person in the loop until Infios AI has proven the schedule holds.