Carriers reject roughly 70% of the value of the final mile loss claims this retailer submits. Proving whether a parcel was lost by the carrier, kept by a customer, or never left the warehouse takes more analyst time than the team can give each case.
Not enough staff. Proving whether a parcel reported delivered but not received was lost by the carrier, kept by a customer, or never left the warehouse is time-consuming. As a result clues go unexamined, and claims expire before anyone resubmits them.
Disconnected systems. The records that would separate the causes sit in different systems: shipment, parcel content, item master, complaint, and carrier accuracy. In addition, carrier contracts leave the retailer with no driver identity, GPS trace, or delivery round to investigate the carrier leg directly.
+10%
Claim acceptance uplift vs. agreed baseline
>70%
Share of insights rated actionable and carrier-ready
>$200K
90-day pilot ROI value target
Find it
Our forward-deployed engineers connect the systems you already run and turn scattered data into one view. Agents then cut thousands of signals down to the few that matter.
Prove it
The agent assembles evidence for one failure across systems that never agree, puts a dollar value on it, and shows its reasoning with linked sources.
Fix it
A finding isn't a fix. The agent takes corrective action, and our engineers build it into your existing tools, so the solution is autonomous instead of arriving as another report.
01 Find it
A parcel reported as delivered but not received (DNR) can go wrong in three ways: it leaves the warehouse incomplete, it goes missing on the carrier’s leg, or a customer who did receive it disputes the delivery. All three look the same in a refund queue. The retailer already held the records that tell them apart: pack weight, parcel contents, item master data, customer complaint history, and carrier delivery accuracy by postcode, and no one had joined them parcel by parcel. The strongest signal is pack weight compared with catalog weight, which shows whether a parcel was complete when sealed and so separates warehouse error from loss after handover, with no inventory data needed.
- Shipment records – carrier, destination postcode, origin facility, delivery timestamps, secure delivery proof
- Parcel contents – items packed and the scale weight at pack
- Item master data – catalog weight, price, category
- Customer complaints – case type, anonymized account history, risk band
- Carrier delivery accuracy benchmarks – by postcode, baselined against two years of history
Beamup agents weigh these signals together against every rejected claim, so a counter-claim moves forward only once pack weight, delivery proof, and account history all point to the carrier.
A Beamup forward-deployed engineer embeds with the retailer's analytics and data teams. The engineer maps each data source, agrees a data-sharing method that keeps personal data inside the retailer's environment, and calibrates the evidence logic against real rejected claims. Personal data is filtered at the ingestion boundary and models stay isolated to this customer, so the program runs on records the retailer already holds, with no new systems.
02 Prove it
A counter-claim has to survive the carrier’s own review, so before it recommends resubmission the agent rules out the warehouse and the customer. It tests four alternative explanations: whether the parcel was short at pack, whether it was rerouted to a pickup point and never collected, whether the delivery scan was applied outside delivery hours, and whether the claiming account shows a cross-carrier, cross-area pattern that points to the customer. A claim enters the counter-claim queue only when those tests point to the carrier leg. With no driver identity, attribution stops at carrier, postcode, origin facility, and time window, and those four fields are enough to show a carrier that losses in one area run well above its own network rate and above a second carrier serving the same postcode. That gives a claims team evidence to act on.
Each counter-claim reaches the queue only after pack weight, pickup-point rerouting, scan timing, and account history all rule out the warehouse and the customer, leaving the carrier leg as the common factor.
03 Fix it
The Beamup agent takes over the assembly work that analysts used to do. For each rejected claim, it ranks the case by value and strength of evidence, writes the reasoning trace, and attaches the records a carrier needs to see. The claims team reviews the case, decides, and resubmits it, and the agent makes no decision about money or carrier relationships.
Action 1
Action 2
Action 3
The Bottom Line
Final mile loss reaches the retailer as a refund it has already paid and a carrier claim that usually comes back rejected. What this pilot changes is the evidence behind the second attempt: each counterclaim is built from records the retailer controls, tested against the explanations a carrier would raise, and limited to cases where the carrier leg is the common factor. The same evidence, rolled up by carrier and area, gives transport leaders a fact base for carrier reviews.
Process-Error Analytics
Turn the suppressed business-process bucket into its own product — ranking where operational errors cluster, so the operator fixes the process, not just the symptom.
Process-Error Analytics
Turn the suppressed business-process bucket into its own product — ranking where operational errors cluster, so the operator fixes the process, not just the symptom.
Process-Error Analytics
Turn the suppressed business-process bucket into its own product — ranking where operational errors cluster, so the operator fixes the process, not just the symptom.

