AI for Sales Operations in Semiconductors

A distributor's monthly file arrives with a tab per region. The part column holds their numbering on half the lines and yours on the rest, and the customer column names an assembler's site, the brand that owns the finished product, and a freight forwarder. Alongside it sit debit claims against prices you authorised at different times for different programmes.

That is sales operations at a component supplier. The opportunity you track is a part designed into someone else's board, the revenue arrives long after the decision that created it, and what you know about who bought it comes from files you do not control.

The opportunity is a part on a board

A design registration is the unit of work. It names a device, a customer and a specific board, it stops one socket being claimed by a rep, a distributor and your field team at once, and it justifies a price later: when a debit claim lands, the registration is the paper saying this price was granted for this programme. So registration quality decides whether your pricing is defensible, and it is captured by the person least interested in doing it. Given the design review notes, the sample shipment record and the email thread, an agent drafts the registration, marks what it inferred and asks for the rest, so the engineer corrects a draft instead of facing an empty form.

Revenue that arrives long after the win

In software a closed deal bills this quarter. In components a win is a decision taken while the board is still a schematic, the first production order may be quarters away, and some wins never ship at all. So pipeline review asks a different question: is the programme alive and still carrying your part. The evidence sits in sample reorders, support requests and evaluation board activity, and an agent can link each registration to it and list the ones nothing has touched for a period you define, without declaring any win dead.

Agreements that expire, overlap and get extended in a thread

Registrations and the prices attached to them carry end dates, and also informal extensions: a rep asks for another quarter, a manager agrees in a thread, nothing changes in the system of record. Special pricing agreements compound that by overlapping, since a customer can hold one price for a high volume programme, another for a second programme at the same site, and a legacy price nobody retired, so verifying a claim against an agreement such as "SPA 4412" takes real effort. An agent can keep one register of what is in force, with each agreement's scope, dates and governing document, then report what is about to lapse, where two agreements cover the same device at different prices, and where a claim was paid with no written extension behind it. Granting an extension stays with the person who owns the margin.

Resale files that arrive monthly in their own formats

Point of sale and inventory reporting is the raw material for everything else here, and it arrives monthly, per distributor, in whatever shape that distributor's systems produce: a workbook with merged header rows, a flat extract keyed on internal identifiers, resale and inventory on separate calendars. Part numbering, customer naming and date conventions differ in every one. Teams solve this with a macro and a person: the macro breaks on this month's format, and the person fixes it and quietly drops the lines that will not map.

Normalising without silently discarding

An agent suits this better because the work is interpretation rather than transformation. It maps each file into one shape, resolving part identifiers to your devices, customer strings to your accounts and regions to your territory structure. What matters is the unresolved lines: they belong in an unmatched set with raw values and a reason attached, not dropped so the totals balance. A clean report with no exceptions usually means someone is hiding them.

The end customer behind the distributor

The most valuable fact in a channel report is the hardest to obtain: who put the part on a board. One socket can appear as the assembler, the site code of the factory, the brand that sells the product, or a procurement entity, so territory revenue lands in the wrong region, a rep is paid on somebody else's socket, and the design win you are proud of looks like it produced nothing.

An agent treats this as entity resolution with an explicit uncertainty rule, matching on name, address, site identifier and the part mix itself, often the strongest signal. Where confidence is high it resolves and records why, and where it is not, it asks, with candidates ranked. It may never invent a parent relationship: linking an assembly site to a brand owner is a commercial fact, confirmed once by a person and then reused.

Matching a debit claim to the agreement underneath it

Ship and debit is the mechanism: the distributor holds stock bought at a standard price, sells at a price you authorised for that opportunity, and claims the difference back. Each claim must match three things before payment, an authorised agreement covering that device, customer and date, a resale line showing the sale happened, and a quantity within what the agreement allowed, which makes it three way matching across sources that disagree about part numbers and customer names. Done at volume against a payment deadline it becomes approval by sampling, which is how suppliers pay against expired agreements, pay twice for one resale line, or honour a price granted for another programme.

An agent reconciles each line against the agreement register and the normalised resale file, clears what matches inside a tolerance you set, and prepares every exception as a packet: the claim, the agreement it probably refers to, the resale line it probably rests on, and why the match failed.

Cross reference requests and the answer you can defend

A customer asks what of yours replaces a part they buy elsewhere. Each request means a socket is open, and each carries liability, since equivalence can mean pin compatible, functionally similar, or drop in with no board change, and those are different promises. An agent given your datasheet and parameter library drafts the comparison as candidate devices, a parameter by parameter table covering package, pinout, supply range, temperature grade and timing, and an explicit list of where each one differs, without ever using the word equivalent. An applications engineer signs it, because a customer will commit a layout to it.

Samples and evaluation boards nobody owns

Sample and evaluation board requests are a sales obligation sitting between functions. Marketing owns the programme, the field owns the relationship, logistics owns the shipment, and nobody owns the queue, so requests arrive from several directions and most are never followed up. An agent can run it as a tracked queue: capture the request wherever it arrived, resolve the requester to an account and a registration, flag what needs screening or approval, chase fulfilment, and prompt a follow up after delivery asking what happened.

Rep commission calculated from dirty resale

Where you sell through manufacturers' representatives, commission comes off resale data: which registered opportunities shipped, into which territory, at what value, and which rep is entitled under what split. Every weakness above lands here, because an unresolved end customer puts revenue in the wrong region and a missing registration lets a rep claim a socket somebody else registered. An agent that builds each statement from the normalised data, shows the rule behind every line and lists what it could not attribute turns an argument about totals into a conversation about named lines.

Who owns the number in a forecast by part

Marketing holds a view from the programme roadmap, the rep holds a view from what the customer last said, and the distributor holds a view from its own resale trend and stocking intentions. Planning needs one number per device per period, and the views disagree in predictable directions. An agent will not settle that, but it can lay them side by side per device with the registration and resale history underneath each, and flag forecast lines with no registration behind them, registrations whose expected volume nothing has consumed, and distributor forecasts that look like stock building rather than end demand.

Where AI fails here

A price concession is a commercial decision. An agent can show that a price sits outside the agreement or the volume band, but granting it anyway is a judgement with precedent attached, and it needs a name against it.

A disputed claim is a relationship, not a reconciliation. An agent set to auto reject everything that fails to match will be technically right and will spend channel goodwill you cannot buy back cheaply.

Part equivalence is an engineering judgement carrying liability. A drafted cross reference is useful, but a published one that nobody qualified reviewed is a claim about electrical behaviour a customer will design against.

Resale data wrong at source cannot be repaired downstream. If a distributor reports the assembler as the end customer, no amount of normalising recovers the brand that owns the design, and that fix lives in the data sharing agreement, not in the agent.

Identity resolution also degrades quietly, improving until it is trusted and then absorbing an edge case wrongly while the output still looks clean. And all of this produces exceptions by design, so if no person owns that queue in their week, exceptions accumulate until someone clears them in bulk, which is the practice you were replacing.

Begin with the debit claims pile

Start with debit claim matching. The ground truth is unambiguous, because a claim either matches an authorised agreement and a resale line or it does not, the output is a prepared exception rather than a payment, and the backlog is already visible to finance.

Then replay a period you have closed: feed the agent the resale files and claims as they arrived, compare its decisions against what you actually paid, and agree the acceptance bar before you look at the output.

Write down first what the agent may read, what it may write back, and which decisions always carry a human name: granting or extending a price, approving or rejecting a claim, publishing a cross reference, committing a forecast number.

If your month ends with one person rebuilding the same distributor workbook, describe your channel reporting to Adopt AI Partners at hello@adoptaipartners.com for an honest read on which part an agent can carry.