We don't just insure your shipments. We show you where risk and fraud are hiding.

The most expensive risk is the kind you don't see

Most shippers treat loss and damage as “the cost of doing business.” Meanwhile, fraud, porch theft, and carrier performance issues quietly eat into margin and customer trust.

• Package theft and loss are exploding. In 2024 alone, U.S. porch pirates stole hundreds of millions of parcels, costing consumers and retailers tens of billions of dollars.
• Damage is not a rounding error. Typical damage rates in parcel/LTL shipping run around 1-3% of shipments-and that's before the cost of replacements, reships, and support.
• Fraud is getting smarter. Professional refund abusers and "item not received" scammers target retailers with lenient policies and weak detection.
• Carrier performance varies wildly. Without clean claims metrics by carrier, service level, and lane, it's easy to keep shipping into a money pit.

If you're only looking at top-line shipping cost, you're missing the story. Your claims data is already telling you where the leaks are-you just need a way to see it.

We turn your claims history into a fraud and risk radar

Every claim you file is a data point. U-PIC aggregates and analyzes those points across customers, SKUs, carriers, and regions to surface patterns you'd never see from inside a single system.

Fraud & abuse patterns

• Repeat abusers & fake identities
  • We flag customers, addresses, emails, and identities that show suspiciously high rates of "lost," "not received," or "damaged" claims.
  • We can spot when the same person is coming back under different names or accounts.
• Item-Not-Received (INR) and refund abuse
  • We see when “delivered but not received” claims cluster around the same customers, neighborhoods, or SKUs-classic hallmarks of professional refund abuse.
• Channel & policy exploitation
  • Certain marketplaces, channels, or customer segments may be exploiting lenient refund and reship policies. We show you where the abuse is concentrated so you can adjust policies surgically instead of punishing everyone.

Product & SKU-level risk

• Spot SKUs with higher-than-average damage or loss, especially small, high-value items that are easy to steal or fragile products that don't survive your current packaging. Source: StowFly shipping damage analysis
• Recommend different packaging, carriers, or mandatory insurance for these SKUs to reduce claim rates without over-insuring everything.

Address & region risk

• Identify risky addresses and neighborhoods with repeated theft or "not received" claims.
• Highlight regions and countries where loss, delay, or damage spikes above your baseline, so you can tighten your approach there (signatures, different carriers, mandatory insurance, etc.).

Instead of blanket rules that frustrate good customers, you can apply tighter controls only where the data proves they're needed.

Know which carriers, routes, and operations are costing you

Because claims are tied to carrier, service level, lane, and fulfillment point, U-PIC can show you where your logistics strategy is working - and where it's setting money on fire.

Carrier & service benchmarking

• Carrier claim ratio
  • Measure claims per 1,000 shipments by carrier and service type. See which options deliver reliably and which ones routinely generate loss and damage.
  • Compare "economy" vs "standard/express" in specific lanes - cheapest isn't always cheapest once you factor in replacements, reships, and OTIF penalties.

Lane & route risk

• Highlight high-risk domestic and international lanes, including those exposed to congestion, instability, or high theft rates.
• Recommend when to diversify carriers, adjust routes, or change service levels to contain risk.

Address & region risk

• Claims clustering around specific fulfillment centers, seasons, or teams often indicate packaging issues or rushed processes.
• Use damage patterns to justify investments in better packaging, training, or QC instead of guessing.

Instead of arguing anecdotal stories with your carriers and 3PLs, you walk in with data: "Here's our claim rate by lane, by service, by facility." That's how you negotiate and improve performance.

From "stuff happens" to structured risk management

Insight is useless if it doesn't change behavior. U-PIC helps you turn what we find into practical rules and policies that reduce losses without slowing the business down.

Smarter coverage rules

• Always insure orders above $X or certain high-risk SKUs.
• Require signature or secure pickup for specific ZIP codes, regions, or first-time high-value customers.
• Apply different coverage and routing rules by channel (DTC vs marketplace vs wholesale).

Better fraud controls without punishing good customers

• Use U-PIC's fraud flags to tighten policies only where abuse lives - specific customers, addresses, or channels-instead of making everyone suffer.
• Avoid chargebacks and "double dipping" (customer refund + insurance claim) with cleaner controls around who gets what, when.

Stronger long-term risk profile

• A cleaner book of business-less fraud, better packaging, smarter lanes - helps hold your loss ratios in check.
• That supports more stable pricing and better program options over time instead of emergency hikes after a bad year.

Best fit if you:

• Ship thousands or tens of thousands of parcels per month
• Use multiple carriers or regionally complex routes
• Have measurable losses from theft, damage, “not received,” or refund abuse
• Care about protecting both margin and customer experience

Let your shipping insurance double as a fraud & risk engine

• Spot fraud and abuse before it spirals
• See which carriers, lanes, and SKUs are actually risky
• Build smarter coverage, routing, and CX rules from real data

Share a few details and we'll show you what your claims history is really saying-no obligation, no disruption to your current setup.

No obligation. Quick follow-up. No changes to your carriers.