On-Time Delivery Improvement Playbook

Problem

When on-time delivery drops below 90%, the damage compounds fast: expedited freight costs spike 3-5% of logistics spend, customer penalties accumulate, and your planning team spends more time firefighting than planning. Sales loses confidence in delivery promises and starts padding lead times, which inflates your backlog and distorts demand signals. The longer OTD stays poor, the harder it becomes to distinguish systemic failures from noise — and most teams are stuck fixing symptoms instead of root causes.

Step-by-step approach

1. 1

   Categorize every late order by failure mode

   Pull 90 days of shipment data and tag every late order with a root cause: late production start, material shortage, equipment downtime, quality hold, carrier miss, or customer-requested change. Do not use catch-all categories like 'other' — force specificity. You need a Pareto chart that shows your top three failure modes by volume and by revenue impact. This is your baseline and your roadmap.

2. 2

   Fix your promise date at order entry

   Most OTD problems start at the moment a delivery date is committed. If your sales team is quoting standard lead times without checking available inventory or production capacity, you are over-promising by design. Implement an available-to-promise check at order entry that references live inventory and open capacity. Even a simple spreadsheet-based ATP is better than quoting from a catalog lead time that was set two years ago.

3. 3

   Establish a daily past-due and at-risk review

   Set up a 15-minute daily standup — production planning, warehouse, and shipping — reviewing every order due in the next 48 hours that is not on track. The purpose is early intervention, not status reporting. Each at-risk order gets an owner and an action by end of standup. Track how many orders move from at-risk to on-time each week. This meeting should feel uncomfortable at first — that means it is working.

4. 4

   Attack your top supplier constraint

   Run a supplier OTD report for your top 20 suppliers by spend. Rank them by late delivery frequency and impact on your own OTD. For your worst three, schedule a quarterly business review with specific corrective actions and deadlines. Share your production schedule with them so they can plan around your peaks. If a supplier consistently delivers late and will not improve, start qualifying an alternative — do not wait for a crisis.

5. 5

   Implement weekly OTD tracking with trend visibility

   Measure OTD weekly, not monthly. Monthly metrics hide the week-to-week volatility that tells you whether your fixes are working. Report OTD by product family, by customer tier, and by failure mode. Post it visibly for the operations team. Set a 13-week rolling trend and review it in your S&OP meeting. When a product family drops below target for two consecutive weeks, it triggers a root cause review — no exceptions.

What good looks like

Top-quartile manufacturers run OTD above 95% consistently, not as a one-time achievement. They have real-time visibility into order status from production through shipment, with automated alerts when any order falls behind schedule. Their promise dates are system-generated from live capacity and inventory, not manually estimated, and they review supplier delivery performance weekly with the same rigor they apply to their own production output.

Common failure modes

OTD improvement efforts fail most often when teams treat it as a shipping problem rather than an end-to-end order fulfillment problem — the root cause is usually upstream in planning or procurement, not in the warehouse. The second common failure is launching improvement projects without first categorizing late orders by root cause, which leads to generic initiatives that do not address the actual top drivers. Third, many organizations set an OTD target but measure it monthly, which is too slow to catch regressions before they compound into a systemic trend. Finally, teams frequently ignore the promise date itself — if you are committing dates you cannot hit, no amount of operational improvement will fix your OTD number.

This playbook is based on:

• APQC Open Standards Benchmarking — Perfect Order Performance (2024)
• ASCM SCOR Digital Standard — Reliability Metrics (2024)
• McKinsey Global Supply Chain Leader Survey (2024)
• SCMDOJO — 13 Nightmares for On-Time Delivery Performance (2024)