Picture an automotive parts manufacturer where an order gets accepted the moment it's placed. Whether it can actually ship on time is a separate question - one that depends on real stock, real capacity, and whatever else has already been promised against the same inventory. Most systems don't ask that second question until it's too late to do anything about the answer.
By the time a late shipment becomes visible, it's usually already a customer service problem instead of a planning one. The information that would have caught it earlier - a capacity conflict, a stock level that looked fine in aggregate but wasn't at the SKU level, a priority call that should have gone the other way - was almost always available days before the miss. It just wasn't in front of the right person at the right moment.
This is the same architecture as every other FocusNow workflow, applied to a different bottleneck: your data, connected as-is; your rules - in this case, your allocation logic and priority calls - captured once and applied consistently; and a tool built specifically to catch the conflict early, not a generic order-management dashboard someone has to remember to check.
Concretely: every incoming order gets checked against live stock, live capacity, and anything already committed - using the allocation and priority rules a company already has, whether or not they've ever been written down before now. Orders that clear cleanly move through untouched. Orders that don't get flagged early, with the specific reasoning attached, so a person can make the call while there's still time to change the outcome.
Nothing here auto-cancels or auto-reprioritizes an order. The system's job is to surface the conflict early and clearly - the decision stays with a person, same as everywhere else in FocusNow.
No manufacturer has run this workflow yet - the scenario above is illustrative, not a customer story. It's fully designed, and it's exactly the shape of workflow we scope as a first pilot: one segment, one clear bottleneck, backtested against a company's own historical order data before it's trusted with a live recommendation.
If this is the bottleneck costing your team hours - or a customer relationship - every week, this is the kind of first workflow we'd build with you.
If a late shipment or a missed exception is costing your team hours - or a customer relationship - every week, this is exactly the kind of first workflow we'd scope with you as a pilot.
Get in touch