Last-mile delivery failure costs far more than you think. The problem is, it's designed to stay hidden.
Most retailers track what's easy: compensation received, claim volumes, and customer service touch points. A tidy spreadsheet line that, on the surface, seems manageable.
But during our BOOM Live webinar with retail supply chain consultant Becky Lombardo, a more uncomfortable picture emerged. The true cost of last-mile delivery failure isn't neatly captured in a single report. It's scattered across your P&L in fragments that nobody is connecting.
Here's what's actually happening.
The gap nobody prices
When a parcel is lost, most carriers operate under a limited liability model. Depending on the carrier, that cap sits anywhere between 25p and £1,000. For most retailers, the payout bears no relation to the retail value of the lost item.
On top of that, the payout often comes as credit, not cash. Credit you can only spend on more of their services. Credit that doesn't hit your bank account. Credit that locks you further into the relationship.
Meanwhile, you've already refunded your customer in full. In cash. You've absorbed the outbound shipping cost. You've probably offered a goodwill discount to smooth things over. And you've spent time you'll never get back navigating a claims process designed to protect the carrier, not you.
Traditional insurers won't help here either. Their deductibles typically start at £2,500 to £5,000, making them irrelevant for the average parcel loss. So retailers are left in a gap: the carrier pays a fraction, the insurer won't touch it, and the business absorbs everything in between.
As Becky put it on the webinar: "On balance, as a retailer we’ve been conditioned to think we're kind of okay with what we're getting at the minute. It kind of roughly evens out." That conclusion, reached by commercial finance teams every day, is arrived at without a full cost picture.
The reason this stays invisible is structural.
Last-mile loss doesn't have a single owner. It falls across at least four functions:
Logistics and supply chain hold the loss data. Customer service handles the complaint. Marketing worries about churn but won't commit to a retention number linked to a delivery failure. Finance sees a line that roughly balances and moves on.
Nobody connects them. And so nobody quantifies the full picture.
What that means in practice: a customer who experienced a poor claims process shows up as "resolved" in the CS queue the moment their ticket closes. But they may never buy again. That churn never gets attributed to the delivery failure. The marketing team won't put their hand up to say they lost three percentage points of retention because of it. The supply chain team doesn't have visibility of that customer's lifetime value.
The cost is real. It's just nobody's job to count it.
The customer nobody's thinking about
Loss rates on a decent carrier sit around 0.5%. Low, right? It doesn't feel like a big number.
But consider who's in that 0.5%. First-time customers are the hardest to assess for fraud risk, yet the most important to get right. They have no history with you. They don't know your brand. And the moment they file a claim, how you respond is how they'll remember you.
A two-week process to confirm whether a carrier agrees the parcel is lost isn't acceptable to someone who just had their first experience of your brand. The item being lost is survivable. The process around it often isn't.
Becky's advice from the session cuts to it cleanly: listen to 20 customer service calls on loss claims before you build any business case. Nothing will move leadership faster than hearing the actual experience. Customers rarely complain about losing the item. They complain about the process.
What good actually looks like
The organisations that handle this well don't start with data or process. They start with a question: what experience do we want our customers to have? Then they design backwards from there.
That sounds simple. In practice, it requires someone to own the problem end-to-end, with the authority to connect customer experience to supply chain decision-making. Amazon is the obvious benchmark not because they've solved the economics of loss, but because they've decided the customer relationship is worth more than the individual claim. The cost gets absorbed because they understand lifetime value.
For retailers who don't have that executive commitment yet, Becky's pragmatic sequencing is worth following:
Get your process clear first. Once you know what your process is, you know what data to collect.
Once you have data, you have a business case for why Loss Intelligence is critical.
And with a business case, you can get the executive sponsor who makes change stick.
The compounding effect is real. Anansi clients who've moved to granular, standardised loss tracking have seen losses reduce by 10 to 15% just through better visibility of where failures are actually happening: which carriers, which postcodes, which product types. Fewer losses mean lower insurance costs. Better data means stronger contract negotiations. The cycle improves.
The practical first steps
Two recommendations came out of the session that are worth taking into your next week:
Pull a sample of 20 to 50 customers who filed a loss claim in the last six months. Track their behaviour afterwards. Did they return? Did they leave a review? Did they reduce purchase frequency or disappear entirely? Adjust for your model (the analysis looks different for a repeat-purchase brand versus a single-acquisition one), but the pattern will tell you more than any spreadsheet summary.
And before you build a business case, listen to those customer service calls. Data convinces analysts. Customer voices convince leadership.
The bottom line
The last mile is the last impression. Most retailers are running a reasonably tight operation and treating a 0.5% loss rate as background noise. But that noise is costing more than anyone has formally counted: in lost customers, absorbed shipping costs, goodwill credits, admin time, and margin erosion that gets filed under shrinkage and forgotten.
The fix isn't complicated. It's accountability through neutral data, automation, and insurance, all doing what they were designed to do. Anansi pays 100% of valid claims cost-effectively with automation, pays in cash rather than credit, and does it on a weekly or monthly basis, not when the carrier decides. And by tracking parcels with insurance, you get a second benefit, you automatically collect neutral data. What’s working, what isn’t and insights into how you can fix it or at least ensure your invoices are correct.
The last mile has been broken for years. It doesn't have to stay that way.
Anansi is a delivery resilience platform for large retailers and ecommerce businesses. We combine regulated last-mile insurance, automated claims processing, and real-time data to protect your profit, reduce admin, and give you control over your final mile. Get in touch to discuss your situation.
