Automate Supply Chain Execution Across Your Network

AI agents for manufacturing execution - from detection to corrective action

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Cardboard boxes on a conveyor belt in a brightly lit warehouse or distribution center.

Beamup for Manufacturing

Purpose-built AI agents for manufacturing execution

Unify Data

Unifies manufacturing, supply chain, and operational data into a single execution model.

Identify Root Causes

Identifies supplier issues, lead-time gaps, quality problems, and execution failures.

Detect Execution Risk

Anticipates shortages, inbound delays, excess inventory, and missed transfers before production is impacted.

Act Autonomously

Executes corrective actions — updating thresholds, escalating suppliers, or triggering operational workflows.

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The Cost of Downtime

Disconnected ERP, WMS, MRP, MES, QC, supplier, and procurement systems make it difficult to detect execution risks early. By the time teams manually identify root causes, production is already disrupted — and recovery is costly.

$260K/hr

average cost of unplanned manufacturing downtime
(Aberdeen Research, Deloitte)

$1T+

lost globally to stockouts and excess inventory
(IHL Group)

40%

of stockouts are execution-driven, not true shortages
(Mckinsey)

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We maximize product availability - at scale.

Beamup deploys AI agents that continuously detect execution risks, diagnose root causes, and take corrective action to prevent line stoppages, missed transfers, and supplier-driven delays.

Proven Results

35%

Fewer line-stopping stockouts

22%

Less excess inventory

Increase in units per hour

Improved Net

OTIF with decreased working capital