Beyond Cost-Per-Delivery: The Five Value Drivers US CFOs Are Underweighting in Last-Mile Investment Cases

A US retail CFO reviews the last-mile transformation business case from the supply chain team. The investment is meaningful, the operational rationale reads strong, and the case ends with a projected cost-per-delivery improvement. The CFO question is the right CFO question: does this investment produce sustained financial value, or does it move a metric without moving the P&L?

The honest answer requires evaluating value drivers cost-per-delivery doesn’t capture. Cost-per-delivery is the metric US CFOs default to for last-mile investment evaluation — it’s operationally familiar, comparable across periods, and easy to track. But it systematically misses five value drivers that determine whether last-mile transformation produces sustained financial outcomes: customer lifetime value impact, working capital optimization, operational leverage and scaling economics, returns cost dynamics, and productivity capture invisible in first-attempt success metrics.

CFOs evaluating last-mile investment cases against cost-per-delivery alone systematically underweight investments that produce meaningful value through these other drivers, and over-weight investments that move cost-per-delivery without producing sustained financial benefit. The CFO mental model gap is genuine and the cost is real for organizations making last-mile capital allocation decisions against an incomplete metric.

This is a 2026 framework for US CFOs and VPs of Finance evaluating last-mile transformation business cases, covering the five value drivers cost-per-delivery hides, with methodology for quantifying each. The framing is honest: cost-per-delivery isn’t wrong, it’s incomplete, and the financial framework for sustained value capture quantifies what cost-per-delivery systematically misses.

According to McKinsey & Company research on last-mile economics and Bain & Company research on customer experience economics, the gap between organizations measuring last-mile value comprehensively and those measuring it through cost-per-delivery alone is widening — and the financial outcomes diverge materially as the gap grows.

The Five Value Drivers

1. Customer Lifetime Value Impact

Delivery experience directly affects customer retention, repeat purchase rate, average order value, and churn — and the CLV impact is materially larger than cost-per-delivery captures. NRF 2025 data quantifies the dimension explicitly: 71% of consumers say they are less likely to shop with a retailer again after a poor returns experience (up from 67% in 2024). 82% cite free returns as a major purchase consideration (up from 76%). 76% prefer instant refund or exchange options. Four out of five consumers share negative experiences with friends and family, amplifying the retention impact through word-of-mouth.

The CFO methodology is concrete: quantify the retention rate differential between customers with positive vs negative delivery experiences, applied to customer lifetime value. For a retailer with $400 average customer lifetime value and 71% retention impact differential on delivery experience quality, every percentage point of customer base experiencing poor delivery represents material CLV at risk. Cost-per-delivery captures none of this — it treats every delivery as equivalent operational cost, missing the retention lever that drives sustained revenue.

2. Working Capital Optimization

Network design decisions affect inventory positioning, depot footprint requirements, payment terms with carriers, and cash conversion cycle. Cost-per-delivery optimization can degrade working capital efficiency when evaluated independently of these dimensions.

The trade-off is concrete. Regional dark store networks reduce last-mile cost per delivery (shorter routes, dense urban coverage) but increase inventory carrying cost (more SKUs forward-positioned across more locations). Centralized fulfillment reduces inventory carrying cost but increases last-mile cost. Carrier consolidation reduces per-shipment rates but may lengthen payment terms in ways that affect working capital. Outsourced last-mile reduces fixed cost but typically requires longer payment terms than owned operations. The CFO methodology: model inventory carrying cost plus last-mile cost plus depot footprint cost plus working capital impact as integrated function rather than separately optimizing cost-per-delivery while letting working capital implications go unmeasured. Investments improving cost-per-delivery while degrading working capital efficiency produce sub-optimal total financial outcomes that CFO frameworks defaulting to per-delivery metrics systematically allow.

Also Read: Delivery Under 2 Hours: How Quick Commerce Leaders Can Scale Fulfillment

3. Operational Leverage and Scaling Economics

Last-mile cost-per-delivery at current volume tells the CFO one thing; the marginal cost of adding 10%, 20%, or 50% more volume tells the CFO something different and often more important for investment cases. The scaling coefficient is determined by operational leverage — specifically by whether dispatcher productivity, driver retention, exception handling capacity, and network management scale linearly with volume or hit operational ceilings.

According to Gartner research on operational role scalability, organizations relying on manual exception management face what’s described as a “scalability ceiling” — human intervention becomes the operational bottleneck regardless of how well individual deliveries perform. The CFO implication: investment cases should quantify the scaling coefficient explicitly, not just current-state cost-per-delivery. Two investments with identical current-state cost-per-delivery improvement can produce materially different financial outcomes depending on whether their operational leverage scales sub-linearly (cost grows slower than volume), linearly (cost grows with volume), or super-linearly (cost grows faster than volume) as the business scales. CFO frameworks ignoring operational leverage allocate capital against the wrong investments at scale.

4. Returns Cost Dynamics

US retail returns reached $849.9 billion in 2025 per NRF/Happy Returns 2025 data — 15.8% of total annual retail sales, 19.3% of online sales. Returns are no longer a marginal operational cost; they are a first-order P&L item rivaling significant operating expense categories. 9% of returns are fraudulent. 85% of retailers are now deploying AI for returns fraud detection. 64% of merchants are actively executing returns process restructuring in early 2026. 49% are increasing focus on third-party logistics partners for returns handling.

The CFO implication: returns cost is structural P&L, not operational noise. Round-trip optimization (forward delivery batched with returns pickup) is one of the primary cost-reduction levers available. Returns experience is a CLV driver. Returns fraud is a margin protection lever. Cost-per-delivery captures none of this — the metric treats each delivery as independent transaction rather than recognizing the integrated forward-and-reverse logistics flow. The CFO methodology: quantify total returns cost (operational + CX retention + fraud loss + working capital impact of returned inventory) rather than per-return cost, and evaluate last-mile investments against their impact on the integrated forward-and-reverse flow rather than forward delivery cost alone.

5. Productivity Capture Beyond First-Attempt Success

US last-mile networks have largely solved first-attempt delivery success. The visible operational failure mode of a generation ago — driver arrives, customer isn’t there, package returns to depot — is now infrequent across mature US operations. But productivity loss between the morning route plan and end-of-day reality is where US last-mile cost concentrates in 2026, and it doesn’t show up in first-attempt success metrics.

Stops per hour degrades through the day as urban access friction compounds. Idle time accumulates at gates, dock doors, and unstaffed addresses. Returns-only follow-up trip count climbs when networks lack returns integration capability. Dispatcher exception handling volume consumes capacity that doesn’t show up in delivery success. According to CSCMP State of Logistics Report research on US last-mile economics, route productivity — measured across these dimensions — is now the primary cost variable in US last-mile, materially more than first-attempt success rate. The CFO methodology: quantify productivity dimensions beyond first-attempt success rate, evaluate investments against their impact on the productivity dimensions cost-per-delivery hides.

Also Read: AI-Powered Dynamic Pricing: Solving the Last-Mile Delivery Crisis

The 2026 US CFO Evaluation Framework

For US CFOs and VPs of Finance evaluating last-mile transformation investments in 2026, six evaluation dimensions matter beyond cost-per-delivery improvement projections.

1. What is the CLV impact methodology? Does the investment case quantify retention rate differential between customers with positive vs negative delivery experiences, applied to lifetime value?
2. What is the working capital impact? Does the investment case integrate inventory carrying cost, depot footprint, payment terms, and cash conversion cycle effects alongside cost-per-delivery?
3. What is the scaling coefficient? Does the investment case quantify marginal cost at +10%, +20%, +50% volume — or only current-state cost-per-delivery?
4. What is the returns cost integration? Does the investment case treat forward delivery and returns flow as integrated economics, capturing round-trip optimization potential?
5. What productivity dimensions does the investment affect beyond first-attempt success? Does it improve stops per hour, idle time, returns-only trip count, dispatcher exception handling volume?
6. What is sustained vs one-time? Does the projected cost-per-delivery improvement compound through CLV, scaling, and integration benefits — or does it represent one-time optimization that degrades over time as conditions change?

The Real Question for US CFOs

Cost-per-delivery isn’t wrong. It’s incomplete. CFOs evaluating last-mile transformation investments against cost-per-delivery alone systematically underweight five value drivers that determine whether investments produce sustained financial outcomes — and over-weight investments that improve the metric without producing the sustained financial benefit the metric appears to promise.

The strategic question for US CFOs in 2026 is: given that last-mile transformation value is increasingly captured through CLV impact, working capital optimization, operational leverage, returns cost dynamics, and productivity capture beyond first-attempt success — are we evaluating investment cases against these drivers, or are we making capital allocation decisions against the metric that’s easiest to track rather than the metric that captures sustained value?

Sources referenced: NRF / Happy Returns 2025 Retail Returns Landscape; McKinsey & Company last-mile economics and customer experience research; Bain & Company customer experience economics research; Gartner research on operational role scalability; CSCMP State of Logistics Report. Specific operational and financial outcomes vary materially across US last-mile implementations based on category mix, customer segment, online sales penetration, operational maturity, and integration depth across forward and reverse flow.