AI for Order Management in Semiconductors

The file lands on a Tuesday with a customer planner's name on it. It is called a forecast, it carries part references, quantities and dates, and everyone knows those dates become a promise once the desk replies. Most lines already sit in your backlog at different dates. A few are for a device that entered its final buy window in the spring. One ships to a site never released for the part it asks for.

The desk has until Thursday to turn that into a commit letter, by hand, in a spreadsheet, alongside the same exercise for every other account.

That is the ordinary condition of a semiconductor order desk. The work is not entering orders. It is reconciling what a customer believes against what your backlog says, promising honestly against constrained output, and writing it where the customer will hold you to it.

The sell side order desk, not the supply base

Worth being precise about scope, because allocation means two things here and only one of them belongs on this desk.

This is your own output going out: customer orders, your backlog, your commitments, your finished goods, not your buying. Sourcing wafers, expediting a supplier and managing inbound long lead parts are a separate discipline with separate systems and people. Allocation here means dividing your own constrained supply across your own customers, a commercial act with revenue and relationship consequences rather than a planning calculation, and the reason this desk cannot be automated end to end.

The order that arrives as a file rather than a message

A healthy share of volume arrives as a clean electronic order and never needs a human. The desk exists for everything else: a portal export a buyer forwarded, a planner's spreadsheet with a tab per product family, a forecast file with a rolling horizon across columns.

Reading the file is easy. Resolving it is not. An agent identifies the customer and ship to site, maps each reference to your device, then resolves the variant: package, temperature grade, speed bin, tape and reel against tray. A reference matching two live variants is held, not guessed, because a wrong variant on these terms is not a return, it is an argument. The same file usually mixes firm demand with visibility only lines, and that boundary is a genuine judgement call, so it has to be settled before anything enters the order book and stay visible and reversible afterwards.

Backlog is a negotiation, not a record

Ask three people for the backlog and you get three answers, because every line carries at least three dates: requested, committed, and the date the plan currently supports. The customer's own copy is a fourth version living outside your building.

The weekly backlog exercise is therefore a reconciliation, not an extract, which is exactly what an agent does well. It matches the customer file against your order book line by line and sorts the differences into classes that mean different things: a line they show and you do not, a line you show and they have dropped, a quantity that disagrees, a date that disagrees beyond tolerance. It does not remove the conversation those differences start, only the two days of spreadsheet work before anyone is ready to have it.

Allocating your own output across your own customers

When supply is short the order book stops being a queue and becomes a set of choices. Fair share against historical consumption, contractual minimums and the account whose line stops if you miss pull in different directions, and the tension is commercial.

An agent builds the position underneath the decision: what is genuinely available by week, committed demand against it, which customers hold entitlement and what it actually says, and scenarios with the consequence of each. Then it stops. Allocation between customers stays with a person, with a name against the decision.

Pull ins, push outs and the weekly reschedule cycle

The supply plan is built quarterly and customers request changes weekly, each a small negotiation with the same questions behind it. For a pull in: does uncommitted material exist in the window, is there test capacity, and does satisfying it leave a hole in someone else's commit. For a push out: does the contract permit a move inside the frozen window, and what happens to material already started.

An agent evaluates each request against rules you have written, shows the knock on effect on other committed lines and drafts the response. It does not change a promised date. Moving a commitment is a decision a person signs.

What the desk checks before accepting a non returnable order

Orders written as non cancellable and non returnable are ordinary here and transfer real risk at acceptance, because the customer then owns that material whatever happens to their programme.

The pre acceptance checklist is long and entirely assemblable. Is the device still in production and outside a discontinuation window. Does die exist in bank, or does this need a new start with the cycle time that implies. Does the term on the customer's document match what your contract says applies, because a purchase order can quietly carry its own conditions. An agent assembles it with evidence and flags the gaps, but accepting the risk stays commercial. A change notice that invalidates an open line belongs on the desk the day it issues.

Die bank and finished goods held against a name

Inventory reserved for a specific customer is a promise that ages. Die held in bank, parts packaged ahead to protect a commit and stock positioned near a contract manufacturer were all committed against demand that may since have moved. An agent keeps a standing view of what is held, against which commitment, how long it has sat there, whether the backlog still consumes it, and which positions are drifting towards a write down. That list is usually reconstructed once a quarter under pressure and should exist weekly.

The distributor channel is a second order book

The channel runs its own arithmetic, usually outside the system holding direct orders. Stock rotation entitlement is calculated against a window and a value cap. Underneath sits the double counting problem: a distributor order is partly end customer demand and partly their own inventory position, and treating the two alike corrupts the backlog.

An agent matches resale reports against shipments and reported inventory, validates each price claim against the registered agreement and the resale record it rests on, and surfaces what it cannot explain rather than absorbing it. Approving a claim stays with the channel manager.

The last time buy and the final backlog

When a device is going away, the final demand window produces the hardest arithmetic on the desk. Customers submit a quantity that is part real requirement and part insurance, while what can still be built is fixed: remaining die, starts already in flight, and available assembly and test capacity.

An agent lays the two sides against each other per customer, showing requested quantity, historical run rate, the quantity actually supportable and the gap. It drafts the response and tracks the acceptance deadline for every account, because a missed deadline becomes a support problem that outlives the product.

Qualification status and end use screening as gates on the order

Two gates sit between an order and a confirmation and both are commonly found late. The first is release status: a part may be qualified for one customer site and not another, or a revision not yet released to the account that just ordered it. Checking that at order entry rather than at the shipping hold is cheaper.

The second is screening. The ordering party, the end user, the stated end use and the destination all need testing against your restricted lists and the export rules. An agent runs the screen, attaches the evidence to the order and escalates every hit. It does not clear one. A clean screen is a data result, not a compliance decision.

The commit letter and the weekly backlog report

Every week several people assemble the same two documents by hand: the customer facing commit, and the internal backlog report sales, planning and finance each read differently. Once the reconciliation above has run, both are drafting exercises. The agent produces the commit letter per account with committed lines, changes since last week and the reason for each, and lines at risk stated as at risk rather than buried. A person still reads and signs it, and that review means more because the reviewer did not build it.

Where AI fails here

Allocation is political before it is analytical. An agent ranking accounts by contract value will confidently propose the split that loses you the customer nobody wrote the rules down for.

Promising on stale supply data is the most expensive failure mode. If fab and assembly commits refresh weekly and the agent answers daily, it answers with numbers that have already moved and sounds certain doing it. Cycle time variance means even fresh data supports a range, not a date.

Cross reference mapping breaks quietly. Customer part tables are incomplete, inherited and wrong in places, and a mismapped package or grade becomes a wrong shipment under terms that make arguing it back your problem. Distributor resale data has the same property in bulk, and much of every difference it throws up is a reporting artefact rather than a discrepancy worth chasing.

Screening produces false confidence. Name matching is weak against transliteration, new entities and intermediaries, and a clear result on a thin match is worse than no screen at all.

Unwritten rules set the ceiling. Much of what governs this desk exists only as precedent in a few people's heads, and this work will expose how much. History also stops holding when it matters most, so the agent must flag its own uncertainty and a manual path has to stay documented.

Testing it against a quarter you have already closed

The honest test is a replay. Take a closed quarter, feed the agent the inbound files as they arrived, and compare its reconciliation and flags against what actually shipped. Agree the acceptance bar before you look at the output, because grading generously afterwards is easy.

Start with backlog reconciliation rather than allocation. The ground truth is unambiguous and nothing it produces changes a promise. Write down first what the agent may read, what it may write back, and which decisions always carry a human name: allocation between customers, any change to a committed date, acceptance of non returnable risk, and every screening hit.

If your week goes on reconciling spreadsheets instead of talking to customers, describe your backlog process to Adopt AI Partners at hello@adoptaipartners.com for an honest read.