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CarParts.com Builds Private Last-Mile Network to Cut Carrier Surcharges

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The signal

CarParts.com is scaling a selective in-house delivery network focused on the 5% of outbound volume most penalized by carrier surcharges: bulky automotive parts. The company delivered 6,000 packages in Q3 2026 (double Q2's volume) and targets 300,000 annually within 12-24 months, with next-day delivery now live at three of four distribution centers and Chicago adding the capability in Q4. This is not a full fleet replacement but a precision strategy to insource only the highest-cost-to-ship parcels.

The financial impact is already visible: Q3 gross profit rose 30 basis points to 33.4%, with freight initiatives contributing roughly $390,000 in quarterly margin. More importantly, Adjusted EBITDA reached $1.0 million versus a $2.5 million loss a year earlier, suggesting that even modest last-mile volume (0.4% of Q3 parcels) produces outsized profit leverage when combined with carrier diversification. For supply chain teams, the playbook divides into two parts: carrier diversification (available to any shipper with no fleet investment) and in-house insourcing (a longer-duration bet requiring infrastructure).

Other retailers like Tractor Supply are following similar approaches, signaling that selective last-mile insourcing is becoming table stakes for e-commerce operators managing bulky SKUs.

Frequently Asked Questions

What This Means for Your Supply Chain

Simulation Suggestion
this month

What if carrier surcharge costs rise 15% faster than CarParts.com's in-house cost structure?

Model the financial incentive to accelerate last-mile insourcing if parcel carrier surcharges (already climbing fast per the article) outpace the company's own delivery cost inflation. Assume third-party carrier costs rise 15% annually while CarParts.com's private network costs rise 8%. Recalculate the payback period and margin improvement to determine if faster fleet scaling becomes economically urgent.

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Simulation Suggestion
strategic

What if CarParts.com faces flat quarterly volume growth instead of doubling each quarter?

Model the impact of in-house last-mile deliveries growing linearly rather than exponentially. Current trajectory requires 12,000, then 24,000, then 48,000, then 96,000 quarterly packages across four quarters to reach the 300,000 annual target by October 2027. Simulate 20% quarter-over-quarter growth instead of 100% and calculate the revised timeline and margin impact if the company delays reaching scale.

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Simulation Suggestion
immediate

What if Chicago distribution center delays next-day capability beyond Q4?

Model the service level and margin impact if Chicago's next-day delivery launch slips from Q4 2026 into Q1 or Q2 2027. With Dallas, Jacksonville, and Las Vegas already live, Chicago's delay reduces geographic coverage. Simulate the customer experience degradation and assess whether the company needs contingency routing through existing carriers to maintain service level commitments in the Chicago region.

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