Time to Market Is an ERP Coordination Problem

When a product launch slips, the blame usually lands on engineering or on a supplier. Engineering took too long to finalize the design. The supplier missed a delivery window.

Sometimes that’s true. More often, every function involved hit its own number that month, and the launch still slipped anyway.

Here’s the pattern, stated plainly: a plant can hit its production schedule. Procurement can hit its lead-time target. Planning can hit its forecast-accuracy number. All three scorecards can be green in the same quarter a launch date moves by six weeks, because none of those three numbers was ever built to measure what happens between them.

We’re stating this as our own market observation, not a Microsoft research finding: in our work with manufacturing and distribution clients, time-to-market pressure is one of the most consistent complaints we hear from operations leadership. Microsoft’s own materials don’t frame it as a named, sourced pain point the way a commissioned study would. We’re naming it because we see it repeatedly, not because we’re citing someone else’s number.

The Four Processes a Launch Actually Crosses

Microsoft’s Dynamics 365 Business Process Catalog is useful here, because it gives the vague idea of “disconnected systems” an actual shape. A product launch doesn’t move through one process. It moves through four, and Microsoft names all four separately.

Design to retire covers introducing new tangible products — product catalog and strategy, new product introduction, costing, pricing, lifecycle management. This is where the thing gets designed and specified.

Forecast to plan covers demand and supply planning — turning a sales forecast into a plan for what needs to exist and when. This is where the launch quantity and timing get set.

Source to pay covers procurement — sourcing the materials and components the design calls for, on the schedule the plan requires.

Plan to produce covers production strategy, production scheduling, production execution, and production quality control. This is the narrowest of the four. It does not include design. It does not include procurement. It starts once the inputs from the other three processes are already in hand, and it’s responsible for turning them into finished output.

Microsoft’s own documentation confirms these four are “highly interconnected.” Plan to produce lists Forecast to plan, Source to pay, and Design to retire among its direct dependencies. Rather than marketing language, that’s an acknowledgment built into how Microsoft structures the whole catalog: a product’s real path from design to shipped output crosses ownership boundaries that Microsoft itself keeps separate.

Why Four Green Scorecards Can Still Mean a Late Launch

Here’s the mechanism. Each of the four processes above typically reports its own performance against its own commitment. Design to retire tracks whether the design was finalized on schedule. Forecast to plan tracks forecast accuracy. Source to pay tracks whether materials arrived by the promised date. Plan to produce tracks whether the production schedule held.

None of those four numbers asks the question that actually determines whether the launch date holds: did the output of one process arrive at the next process in a form the next process could immediately use?

A design can finalize on time and still hand procurement a bill of materials with three components that don’t have an approved vendor yet. Procurement then has to run a sourcing cycle nobody budgeted time for, and its own lead-time metric never registers a miss, because the clock for that metric started only once the request came in — not when the design was finished.

A forecast can be accurate to within two percent and still arrive at the plant scheduling desk a week later than the production team needed it, because nobody measured the handoff between the planning system and the scheduling system. The forecast metric stays green. The production schedule slips anyway, quietly, before the plant even logs a delay.

This is the actual coordination problem: not that any one function is failing, but that the launch date depends on four handoffs, and none of the four functions’ own metrics was ever designed to see a handoff. Each team can point to a clean scorecard. The launch still moves.

Picture how this compounds across a real product launch, as a composite of what we see across manufacturing clients rather than one specific company’s story. A new product’s design freezes on schedule. The bill of materials goes to procurement two days later, which looks fine on paper.

But one line item on that BOM specifies a component from a vendor who was dropped from the approved supplier list four months earlier — a change design never saw, because supplier-list updates live in a different system than the design tool. Procurement now has to qualify a substitute vendor, a process that typically runs three to four weeks. Nobody’s dashboard captures that delay as a miss, because procurement’s lead-time metric only starts counting once a valid sourcing request lands in its queue, and this request wasn’t valid until the substitute vendor was found.

Where Microsoft Is Already Building Toward This

Microsoft published a real, current example of what closing this kind of gap looks like in practice. In April 2026, Microsoft described how Poloplast, a manufacturer, used agentic capabilities in Dynamics 365 to change how production budgets get built. In the words of Patrick Keller, Poloplast’s Head of ERP: “Now, we can see the item-level details and the solution populates Dynamics 365 with that information for master planning. That’s a big step forward because now we essentially have a planned budget and we can easily produce the next production cycle’s budget without manually exporting the data.”

The example is about demand planning, not launch delay specifically. But it’s a real, named, on-record account of exactly the kind of manual handoff — exporting data from one system so a person can re-enter it into another — that creates the gaps this piece is describing.

The same Microsoft post quotes Sean Barrett, Inventory and Analytics Manager at Farmlands Cooperative, describing a Procurement Agent that reads a supplier disruption email, finds the affected order lines, and recommends a response — work Farmlands estimates saves the team 20 hours a week. This one is about procurement disruption response, again not launch delay directly, but it’s the same shape of problem: data trapped in one process that a person has to manually carry into the next one, with the time that takes never showing up on anyone’s scorecard.

We’re not claiming Microsoft has published a case study about NPI speed specifically, because it hasn’t, at least not one we found. We’re pointing at these two examples because they’re real, they’re current, and they show Microsoft’s own agentic tooling being aimed at exactly the kind of handoff this piece is about — just documented in adjacent processes, not this exact one yet.

One more data point, also real and also not specific to launch timing, helps put a scale on this. A Forrester Total Economic Impact study commissioned by Microsoft in February 2026 found that one Dynamics 365 ERP customer cut its MRP scheduling time from four to six hours down to under ten minutes after consolidating from a legacy system. We’re citing that as a production-scheduling efficiency number, and nothing more — we won’t stretch a scheduling-speed stat into a time-to-market claim it wasn’t measuring.

But it’s a useful indicator of how much manual, cross-system work can be sitting inside a single planning step once you go looking for it. That’s exactly the kind of work that turns into an invisible handoff delay when it crosses from one process to the next instead of staying inside one.

What We’re Arguing That Microsoft Hasn’t Said

Let’s be precise about where the documented facts end and our own conclusion starts. Microsoft has published and named these four processes. Microsoft has documented that they’re interconnected. Microsoft has published real examples of agentic tooling closing handoff gaps in two of the four processes involved here.

Microsoft has not published a statement saying “launch delays are caused by unmeasured handoffs between these four specific processes” or that “time to market is a named executive pain point.” Both of those are our own conclusions, built on top of Microsoft’s real process definitions and our own experience working with manufacturing and distribution clients on exactly this kind of coordination problem. We want that distinction clear before you act on any of it.

Measuring the Handoff, Not Just the Function

If the diagnosis above is right, the fix isn’t asking any one of the four functions to work faster. Each of them is already hitting its own number.

The fix is creating a measurement that doesn’t belong to any single function: how long does it take, in calendar days, for a completed design to become an approved bill of materials with sourced components? How long does it take for a finalized forecast to become a locked production schedule? Those two questions don’t live on anyone’s current dashboard, because dashboards get built around the process that’s reporting, not the seam between two processes.

That’s a different kind of project than a system upgrade. It starts with picking two or three handoffs that matter most to your launch timeline and instrumenting exactly those, rather than trying to redesign all four processes at once. A single visible number — days from design freeze to sourced BOM, for instance — does more to expose where a launch actually loses time than any individual function’s performance review.

In practice, this usually means two things happening together. First, the handoff itself needs an owner — not a new department, just someone whose job includes watching that specific seam, the way a relay team designates who’s responsible for the baton pass rather than assuming it happens on its own. Second, the systems on either side of the seam need to be connected well enough that the clock can actually start and stop automatically, rather than depending on someone remembering to log a timestamp. A design freeze that only “counts” once someone manually updates a spreadsheet is a measurement that will quietly stop being maintained within two launch cycles.

One Question to Ask Before the Next Launch Slips

Could your organization say, today, how many calendar days typically pass between a design freeze and a fully sourced bill of materials? Most operations leaders we talk to can answer for their own function’s cycle time. Far fewer can answer that specific cross-process question — it tends to fall in the gap between two teams’ reporting, where neither one is quite responsible for tracking it.

Answering it doesn’t require replacing how design, planning, procurement, and production each do their jobs. It requires picking one seam and putting a number on it, in a place all four functions can see.

That’s the piece of work DAX Software Solutions does with manufacturing and distribution teams inside Dynamics 365: not a redesign of any one function, but visibility into the handoffs between them. Send us your next launch timeline and we’ll show you where the seam is most likely costing you time.