Last-Mile Orchestration Fills the Gap as Carriers Diversify
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The signal
The last-mile delivery landscape is fragmenting. National carriers like FedEx and UPS have spent a decade shedding unprofitable packages, creating space for regional carriers, 3PLs, gig platforms, and private fleets. According to FreightWaves data cited in this article, 55% of retailers now use carriers outside the traditional duopoly, and more than a third are actively moving volume away. However, this diversification has created a coordination problem: none of these networks talk to each other.
Burq, a last-mile technology company, is betting that the real value lies in the **decision layer above the fragmented network**—a sophisticated orchestration engine that can route each package to the carrier most likely to meet service levels at the lowest cost. The company hired Jake Stein from Uber Direct to lead retail growth, and his vision reveals the core problem: retailers have no visibility into which carrier performs in which ZIP code on which day. This information gap costs money. One example: Caraway, a home goods brand, cut total parcel costs by 20% after its 3PL began shopping every order across a diversified network.
The payoff is real, but it requires decision-making tools faster than legacy dispatch systems can provide. For supply chain professionals, this represents a structural shift in how parcel economics work. The complexity of managing multiple carriers—each with different SLAs, capacity commitments, and service profiles—has become too much for human-driven dispatch. Real-time optimization, powered by machine learning and integrated data, is moving from nice-to-have to table-stakes for retailers competing on both cost and customer experience.
Frequently Asked Questions
What This Means for Your Supply Chain
What if 30% of your parcel volume shifts to regional carriers?
Model a scenario where your retailer redirects 30% of parcel volume from national carriers (FedEx/UPS) to a mix of regional carriers and gig platforms. Assess the impact on total parcel costs, average delivery times, and service level compliance across different ZIP codes. Account for regional carrier capacity constraints and pricing variability.
Run this scenarioWhat if pickup delays trigger automatic carrier reassignment?
Simulate implementing a real-time reassignment rule: if a carrier fails to pick up a package within 9 minutes of assignment, automatically reroute to the next available carrier. Model the cost impact of premium carriers vs. volume commitment penalties. Measure the improvement in on-time delivery performance and customer satisfaction.
Run this scenarioWhat if you optimize by ZIP code for cost vs. speed trade-offs?
Model a ZIP code-level optimization strategy where high-cost areas use regional carriers for 2-day delivery, while high-demand areas use premium on-demand services. Measure total cost savings, margin impact, and delivery performance by ZIP code. Assess the customer experience impact of service level variability.
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