Optimize Retail Product Availability

Agentic AI for Supply Chains – From Root Cause to Action

Beamup for Retail

Our vertically specialized platform

Unifies structured data

Unifies structured + unstructured data into a single, live model

Diagnoses the cause

misallocation, supplier delays, in-store execution gaps

Predicts availability risks

like shelf stockouts, phantom inventory, or false availability signals

Acts Autonomously

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

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)

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%

out-of-stocks on high-velocity SKUs

22%

less overstock on slow movers

75%

less manual
investigation time

Higher

in-store

and online fulfillment rates
without adding headcount

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