Optimize Retail Product Availability

Agentic AI for Supply Chains – From Root Cause to Action

Large warehouse interior with rows of tall metal shelves filled with yellow and brown boxes, under bright overhead lights.Wide view of a spacious warehouse aisle with tall shelves stocked with yellow and brown boxes.

Beamup for Retail

Our vertically specialized platform

Unify Data

Structured + unstructured data is unified into a single, harmonized model

Diagnose Root Cause

Misallocation, supplier delays, in-store execution gaps

Predict Availability Gaps

Shelf stockouts, phantom inventory, or false availability signals

Act Autonomously

Update reorder thresholds, escalate vendor issues, or contact carriers before orders are missed

Abstract digital lines forming a curved shape with glowing white nodes on a vibrant purple and blue gradient circular background.

The Cost of Stockouts & Overstock

POS, WMS, APS, ERP, OMS, planograms, supplier portals, and e-commerce platforms all hold critical data - but they rarely connect. This siloed landscape makes root-cause analysis slow and reactive, leaving teams chasing problems instead of preventing them.

8–10%

revenue loss when high velocity SKUs go out of stock
(Harvard Business Review)

3x

higher fulfillment cost for backorders
(Bain & Co)

40%

of stockouts driven by misallocation - not shortages
‍(Mckinsey)

Abstract digital design with curved blue lines connecting two white dots on a black background with a glowing purple circular pattern on the left.

We maximize product availability through AI.

Beamup uses AI agents to predict risks, find root causes, and take action to prevent stockouts and keep every retail channel fully supplied.

Proven Results

35%

Fewer out-of-stocks on high-velocity SKUs

22%

Less overstock on slow movers

75%

Reduction in manual
investigation time

Higher

in-store

and online fulfillment rates
without adding headcount

DenyAccept All