73% of Your PO Delay: One Stage. Your Team Is Not the Problem.
Your procurement coordinator submits requests the same day she gets them. Your estimator turns reviews in under a day. Your PM reviews within 12 hours. And yet your POs average 11 days. The problem is the 6.8 days a request sits in a director inbox — and the fact that you have never measured it until now.
Where Your Procurement Process Breaks Down — Exactly
Five stages. Four that work. One that is costing you 7 days on every PO.
The Cost of Not Measuring by Stage
Three consequences of running an 11-day PO cycle when the bottleneck is fixable in a day.
You have been measuring the wrong thing
You track PO count and average cycle time. You do not track stage-by-stage timing. The difference: one tells you how slow you are, the other tells you where the problem is and how to fix it. Without stage timing, you cannot intervene at the bottleneck.
Your team is not the problem — and they know it
Your coordinator submits same-day. Your estimator turns reviews in under a day. Your PM reviews in 12 hours. And yet POs average 11 days. The team knows the process is broken. They have been working around it for months. POD gives you the data to fix what they have been asking you to fix.
One stage causing 73% of delay is fixable overnight
If the bottleneck were distributed across all five stages, you would need a comprehensive process redesign. But 73% at one stage means one targeted fix — a delegated threshold, a parallel review process, or an escalation trigger — eliminates the majority of the delay immediately.
Where Your Procurement Process Breaks Down — Exactly
BuyingSpeed shows where time disappears by stage. ApprovalPipeline shows the live backlog at that exact stage.
Buying Speed
PODApproval Pipeline
PODWhat POD Gives You Back
Stage-by-stage timing — the bottleneck named and quantified
BuyingSpeed records elapsed time at each stage for every PO and calculates averages. When Director Approval shows 6.8 days while all other stages total 4.2 days combined, the bottleneck is undeniable. You have the data for the conversation that fixes it.
Bottleneck named in the first reportLive approval backlog at the identified bottleneck stage
ApprovalPipeline shows all 9 items currently stuck at Director Approval — how long each has been waiting, which are on the critical path, and what they are blocking. The live data adds urgency to the historical pattern BuyingSpeed revealed.
Live + historical combinedScenario modeling — what if we fix the bottleneck?
POD can model the impact of a delegated approval threshold. Remove items below $15,000 from director review and 67% of the backlog clears. Average PO cycle drops from 11 to 3.8 days. You see the impact before you implement the change.
Fix modeled before implementedSchedule impact of delay quantified in dollars
Every day of PO cycle time that exceeds available float on a critical-path item creates schedule risk. POD quantifies that risk in overhead dollars and delay cost — turning an abstract process problem into a concrete financial case for fixing it.
Dollar case for the fixFix This One Stage: Average PO Drops from 11 Days to 3.8.
BuyingSpeed shows that 73% of cycle time is at Director Approval. ApprovalPipeline shows 9 items currently stuck there. A delegated approval threshold of $15,000 removes 67% of those items from director review entirely. Average PO drops to 3.8 days. Critical-path deliveries make their windows. The fix takes one policy decision. POD gives you the data to make it.
Frequently Asked Questions
Find Your Bottleneck. Fix It This Week.
Your team is doing their jobs. The process is failing them. POD shows you exactly which stage — and what fixing it saves.
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