FINAL MILE INSIGHTS | Edition #2

FINAL MILE INSIGHTS | Edition #2 (Part 2 of 2) | March 4, 2026 Intelligence for Distribution Leaders

📌 New here? This is Part 2 of a 2-part series. Catch up on Part 1: "Who Owns the Customer?" (link in comments).

Last week, I showed you what happens when I ask a Fortune 500 CEO "Who owns the customer?".

Ten minutes later, Sales and Ops were in a turf war, the CIO was being scapegoated, and the CEO realized his team wasn't aligned.

This week: the framework that explains WHY this happens and the four-part methodology I use to fix it.

BY THE NUMBERS

John Kotter's groundbreaking research (Harvard Business Review, 1995) shows that 70% of organizational change initiatives fail .

Not because the strategy is wrong, but because of execution failures: lack of urgency, weak leadership coalitions, poor communication, and premature celebration.

That's exactly what I see in distribution operations: brilliant strategies dying between the boardroom and the warehouse floor.

Executives are creating their own chaos.

They allow each silo to independently make its own business decisions: promise tighter windows to win business, add more delivery frequency, buy or lease more trucks.

Sales optimizes for revenue. Ops optimizes for cost. Risk optimizes for compliance. Nobody optimizes for the customer outcome.

The problem isn't that your team can't deliver. It's that nobody decided which trade-offs you're willing to make.

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THE >$1 MILLION "INDUSTRY STANDARD" TAX

Most benchmarking reports cite 95% On-Time Delivery as "good performance" for private fleets. Let me show you what that "good performance" actually costs.

Scenario: 100-truck operation, 15 stops per route

• Daily stops: 1,500
• 95% Successful Deliveries: 75 Failures Per Day
• Re-delivery cost: 5 full truckloads × $1,000/route = $5,000/day
• Annual waste: >$1 million

That doesn't include:

• Product damage from re-handling
• Customer churn from broken promises
• Driver safety risk from rushed re-deliveries
• Lost sales from out-of-stocks at retail

99%+ delivery success isn't a stretch goal. It's been done. Repeatedly. It's the cost of entry for

world-class distribution.

The industry calls 95% "acceptable" because most companies accept mediocrity. Don't be most companies.

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Why this matters: Your delivery problems aren't about doing more. They're about doing what you promised, when you promised. That's a governance issue, not a capacity issue.

THE EXECUTION PARADOX™

That Fortune 500 meeting wasn't unique. Different industry, different executives, same turf war.

Twenty-five years of sitting in boardrooms where Sales and Ops can't answer "who owns the customer?" taught me something: this isn't a communication problem. It's a structural design flaw, but that makes it sound cleaner than it is.

Inherited processes nobody questions. 1987 policies treated as sacred fundamentals. Ego and turf protection from people defending the same territory for fifteen years. "We've always done it this way" disguised as "best practice."

And it's invisible because everyone assumes someone else designed it intentionally when, in reality, it accumulated over decades of compromises and workarounds that became permanent.

Most companies organize by function (Sales, Operations, Finance, Risk & Compliance). But customers experience outcomes.

When functions optimize locally, the network fails globally. I call it The Execution Paradox.

THE EXECUTION PARADOX: Three Competing Dimensions

Every commercial initiative (delivery operations, manufacturing, supply chain) must balance:

• PROFIT (revenue, cost, and cost to serve)
• SERVICE (customer experience, delivery precision)
• RISK (safety, compliance, liability)

The reality: Most organizations optimize one or two, and the third suffers whether they acknowledge it or not.

If 'both' own the customer, then nobody owns the customer (and the gap widens). You can optimize any two at the expense of the third:

Maximize revenue + service? Cost and risk skyrocket (overworked drivers, larger fleet and miles, rushed deliveries, accidents).

Maximize service + risk mitigation? Profit collapses (overstaffed, underutilized assets).

Maximize profit + risk mitigation? Service suffers (rigid windows, low frequency, customer churn).

This isn't just behavioral, though ego and turf protection play a role. And it's not just structural, though misaligned scorecards guarantee conflict.

The truth is messier: behavioral patterns became structural over time. Companies optimize what they measure.

If Sales is measured on revenue and Ops is measured on cost-per-mile, you have explicitly designed a conflict into your organization. You cannot solve this with a behavioral solution (like "better collaboration") because the structure reinforces the behavior.

MAKING TRADE-OFFS EXPLICIT

The Execution Paradox isn't just a theory. It plays out in dozens of micro-decisions every day. Here is how you actually use the framework to force the conversation:

Scenario: A new, low-volume customer requests daily delivery.

• Service Dimension: The customer wants daily frequency. Sales says "yes" to win the deal.
• Profit Dimension: Each added day increases expenses and quickly impacts the bottom line for a customer whose margin doesn't justify it. Ops says "no," knowing this may cost market share to a competitor who delivers daily.
• Risk Dimension: Extra stops mean more driver exposure, tighter windows, rushed deliveries. More trucks on the road, more priorities to juggle, greater exposure.

The question isn't "who is right?" All three are right based on their functional KPIs. The real question is: Who decides? And on what criteria?

Without a governance framework, this decision is made by whoever shouts the loudest in the meeting.

By understanding the Execution Paradox framework, you force an EXPLICIT trade-off with a review date: "We will accept lower profit on this account to win market share, but we acknowledge the risk. Review in 90 days."

Or: "We will prioritize route density over service frequency for Tier 3 customers. Review quarterly."

The timestamp forces accountability. Without it, the decision drifts. Explicit trade-offs are strategy. Implicit trade-offs are chaos.

THE CONTRARIAN TAKE

Here's what most consultants would have said in that meeting:

• "You need better communication."
• "Let's do a leadership offsite."
• "We need cross-functional KPIs." Why that's wrong:

Those solutions assume the problem is awareness. It's not. Both executives knew the problem existed. They just didn't have decision authority when their objectives conflicted.

Popular frameworks miss the point:

North Star Metrics: Great concept. But what's the North Star? Customer retention (Sales)? Cost per delivery (Ops)? On-time performance? Each function picks a different star. Most companies have three competing constellations.

RACI Charts: Excellent for project management. Terrible for trade-off decisions. "Who owns the customer?" ends up with Sales = Responsible, Ops = Accountable, Finance = Consulted, CEO = Informed. Which means nobody actually decides.

Most current industry thought is built on frameworks from 15-20 years ago. Or borrowed from the freight industry, a completely different animal from final mile distribution.

The industry is full of recycled theory, consultants applying freight models to final mile, and tech

vendors selling software as strategy.

THE FIX: A FOUR-PART METHODOLOGY

Over 25 years of turnarounds, I've developed a methodology to fix this. It's not about "better collaboration." It's about rigorous governance and execution speed.

1. GOVERNANCE: Alignment First, Authority Second

You can't have decision authority without aligned metrics. If Sales is measured on revenue and Ops on cost-per-mile, assigning a "decision-maker" just makes that person the referee in an endless turf war.

Step 1: Align the scorecards. Measure everyone (Sales, Ops, Finance, Risk) on the same 3-5 metrics that reflect customer outcomes:

1. Customer-level profitability: Start with your bottom 10% least profitable customers and "rack and stack" them. Which ones can be improved? Which ones should be exited or repriced? This forces Sales and Ops to collaborate on the same problem.
2. On-Time In-Full delivery (OTIF): Target 99%+, not the industry's mediocre 95%. As we showed above, 95% costs you over $1 million annually in a mid-sized operation.
3. Cost per delivery: Look up your industry benchmarks, then shoot for 10% better. The goal isn't to match the industry. It's to beat it.
4. Safety incident rate: You are always striving for zero. Anything worse than zero is unacceptable.
5. Route utilization: Target 90% capacity utilization. Routes have three constraints: weight out, cube out, time out. A route that's 100% full on runtime but only 40% on cube or weight is a red flag. You're paying for a full day of driver time while hauling air.

When everyone owns the same outcomes, you eliminate structural conflict.

And if you're serious about it, tie compensation to those outcomes. If your Sales VP's bonus is based on revenue and your Ops VP's bonus is based on cost, your scorecards are theater. Comp plans reveal what you actually value.

Step 2: Assign decision authority. Here's what this does NOT mean: funneling every trade-off decision to a VP or COO. That creates a kingdom and a bottleneck.

What it DOES mean: Senior executives (Sales, Ops, Finance, Risk) agree on the policies and thresholds that govern trade-off decisions. Then those policies cascade to local managers who are empowered to make game-time calls within the framework.

Example: The executive team agrees: "For Tier 3 customers, we prioritize route density over daily delivery frequency unless the customer generates >$200K annual revenue."

Now when a local sales rep requests daily delivery for a $75K customer, the transportation manager has decision authority to say no. Both are measured on the same customer P&L metric, so the conflict doesn't escalate.

The policies are set at the executive level. The decisions are made at the field leadership level. When everyone is measured on the same outcomes, local managers know their decisions impact the same metrics everyone else cares about.

Shared metrics create alignment. Clear policies enable execution.

2. PROCESS: Master Data + Exception Management

Fix the data PROCESS, not all the data at once. Implement exception tracking: every "special

customer" request gets documented and costs assigned. Time windows, frequency, and first-stop requests all have an explicit trade-off cost.

3. SPEED: Cascade with Velocity, Not Activity

Top-down decisions must reach the field in weeks, not months. Here's what kills most governance frameworks: field resistance ("flavor of the month"), politics, and historical inertia. Test with drivers and dispatchers before rolling out. Leadership changes are sometimes necessary when historical inertia blocks velocity.

4. MEASUREMENT: Make Trade-Offs Visible

Your dashboard should show all three dimensions simultaneously. Conduct a weekly trade-off review: What did we optimize this week? What did we sacrifice?

A good trade-off is intentional (e.g., "We accepted higher cost this week to handle seasonal volume while maintaining service"). A bad trade-off is accidental.

The goal is a focused, balanced scorecard that surfaces trade-offs in real time.

THREE QUESTIONS TO DIAGNOSE YOUR GOVERNANCE GAP

Last week's question ("Who owns the customer?") was the hook. These three questions are the diagnostic test.

You can have the right strategy and still fail in execution if nobody can make decisions when profit, service, and risk conflict. Ask these three questions tomorrow morning:

1. "When delivery frequency conflicts with route efficiency, who has decision authority and what criteria do they use?"

If the answer is "Sales and Ops work it out," that's a red flag. If the answer includes explicit criteria for balancing profit, service, and risk, you have governance.

2. "Show me your Operations scorecard and your Sales scorecard. Do they create opposing incentives?"

If Ops is measured on cost-per-mile and Sales on customer retention, you have a structural conflict. If both are measured on customer-level P&L + service + safety, you are aligned.

3. "How long does it take for a new delivery policy to reach your drivers and dispatchers?"

If the answer is "2-3 weeks," you have a problem. If the answer is "next day" or "same week with field testing," you have an execution-ready culture.

If you can't answer these three questions with clear names, metrics, and timelines, you don't have an alignment problem. You have a governance problem.

EXECUTIVE TEST: THE 2 P.M. PHONE CALL

Here's a test you can run today at 2 p.m.

Call your local transportation manager. Ask: "How many delivery failures do we have so far today?"

The most common answer? "I don't know yet. I'll tell you when the drivers get back." That answer is a failure in itself.

If you don't know what's failing until the truck returns at 5 p.m., you've already lost the day.

Tomorrow's route is overloaded with re-deliveries. Nobody is accountable because "we didn't know."

World-class operations know delivery failures as they happen, not hours later.

Establish a culture where:

• Drivers report failures in real time (refused delivery, customer not ready, wrong product, damaged goods)
• Dispatchers attempt to save the delivery before the driver leaves the area
• Root causes are documented immediately (warehouse error? Master data issue? Customer miscommunication?)
• Accountability is clear: driver, warehouse, customer service, sales, or customer

You should know every delivery failure before that driver returns to the warehouse.

This single change impacts execution across the board: fewer re-deliveries, clearer accountability (including which customers are causing problems, and nobody talks about this), better customer communication, and automatic improvement in delivery success rate, cost-per-delivery, and capacity utilization.

Fix this, and watch other metrics improve automatically.

READER QUESTION

Have a question about governance, delivery operations, or turnaround execution? Reply to this newsletter or comment on LinkedIn. I'll tackle it in a future edition.

About Final Mile Insights

Final Mile Insights analyzes the private fleet distribution landscape where strategy, operations, and execution converge. Written by Mat Witte, a 25+ year turnaround executive specializing in distribution transformation and operational technology adoption across foodservice, beverage, building supply, and CPG.

Need help with your distribution operation?

If you're facing misalignment, technology adoption issues, or execution gaps, let's talk: info@catalystscp.com

Final Mile Insights is published weekly. All data and sources are cited for transparency.

© 2026 CatalystSC Partners. All rights reserved.

The Execution Paradox™ is a trademark of Mat Witte.

Link to Part 1