Purpose-Built AI Agents for Loyalty Operations

Find it. Prove it. Fix it. At Scale.

Beamup runs AI agents that find the execution failures buried across your systems, prove the root cause, and fix them. Find it. Prove it. Fix it.

Purpose-Built AI Agents for Loyalty Operations

Promise & Service Level Agent

Owns SLA credits, chargebacks, cancellations.

The Challenge

Stockouts on the SKUs customers actually come back for. Cancelled orders, NPS detractors, Trustpilot complaints. In manufacturing, the same problem shows up as aftermarket parts shortages that erode dealer loyalty.

Missions

At-risk order recovery

Steadier Trustpilot, App Store ratings, higher NPS.

Split-shipment prevention

Millions saved in avoided split-shipment costs.

Delivery-promise & OTIF

Steadier OTIF. Fewer chargebacks and SLA credits.

Fulfillment exception resolution

Secondsvs. hours of resolution time. No added headcount.

Loss & Fraud Agent

Owns shrink, theft, fraud, damage.

The Challenge

Excess inventory drives unplanned promotions and erratic delivery promises. Both destabilize the loyalty signal.

Missions

UTR shrink

20% reduction in shrink and concessions.

In-transit loss and theft

Less margin lost to theft and false claims.

Claims and fraud attribution

Fewer false claims. Less margin lost to concessions.

Cost to Serve Agent

Owns labor and throughput cost per unit.

The Challenge

Customers read partial deliveries, multiple boxes, and multiple delivery dates as broken promises. Split shipments are a top supply chain failure that erodes loyalty in D2C and marketplaces.

Missions

Excess-inventory correction

20% less overstock, steadier loyalty signal.

Labor performance & units-per-hour

7% more units per hour. No added headcount.

Throughput bottlenecks

70% faster resolution. No added headcount.

In-Transit Agent

Detects broken delivery promise patterns and automatically triggers corrective action.

The Challenge

In-transit failures (delays, damage, loss) drive NPS detractors, Trustpilot complaints, and silent repeat-customer churn.

Use Cases

Delays, damage and loss

High-risk carriers, lanes, or routes

Suspicious activity/theft monitoring

Impact: Fewer broken delivery promises, less margin lost to concessions

Inventory Shrink Agent

Identifies theft, shrink, and execution failures across facilities before they drain the loyalty budget.

The Challenge

Silent margin erosion drains the loyalty budget. Every dollar lost to shrink is a dollar that cannot fund the customer experience.

Use Cases

Theft (internal or external)

Process failures in stores or warehouses

Inventory discrepancies and execution gaps

Impact: Protected revenue, lower losses, loyalty budget intact

Fulfillment Execution Agent

Detects fulfillment execution gaps across every node and automatically drives corrective actions end-to-end.

The Challenge

Manual exception triage and process gaps that delay every loyalty fix. Throughput collapses in peak.

Use Cases

Manual exception triage and ticket handling

Training and process gaps

Throughput bottlenecks during peak periods

Impact: Seconds vs. hours of resolution time. No added headcount

Beyond Reporting. Customer Loyalty, Protected.

Beamup replaces dashboards and alerts with AI agents that diagnose the supply chain failures that erode customer loyalty, surface the dollar impact, and with your approval, run the fix automatically the next time the same failure mode appears.

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