AI for wholesalers and B2B distributors

Every order is a promise. Most of the work is checking whether you can keep it.

A distributor’s margin lives in the gap between the order that was placed and the one that was shipped: the wrong price list applied, the promised date nobody checked against stock, the DDT typed twice, the customs line that held a pallet for a week, the invoice that matched nothing. None of that needs judgement. It needs someone to check, and the people checking are the ones customers call. Put an agent on the checking. Keep the people on the customer.

  • Built on top of your gestionale and warehouse system, through their interfaces
  • Five of the six queues below are rules: price lists, stock, documents, ageing, matching
  • A person signs the exceptions, not the routine
Six queues, six roles

Put an agent on the queue, not on the org chart.

Each role owns one recurring queue. It drafts, it shows its evidence, and a named person signs before anything consequential moves. The last column is the sector’s AI Boundary Map: whether the step is mostly a rule, mostly a model, or stays with a person.

RoleWhat it draftsWho signsWhat it readsMostly
Order entry from any channelThe order in the gestionale from email, PDF, portal or agent app, every line matched to an item code and the customer’s conditions applied.Customer service, on unmatched lines and new customers.The shared inbox, the item master, customer conditions.a model
Availability and promised dateThe order confirmation with a promised date computed from stock, open purchase orders and supplier lead times, and partial shipments proposed where a line cannot be met.Nobody below the threshold you set; sales above it.Stock, open purchase orders, the supplier register.code and rules
Price and condition checkEach order line validated against the customer’s price list, discounts and payment terms, with every deviation and its margin effect listed.The sales manager, on deviations only.Price lists, customer conditions, the CRM.code and rules
Shipping and customs documentsThe DDT, packing list and, for cross-border orders, the customs data set with HS codes and origin, from the confirmed order and the picking list.Logistics, before the carrier is booked.The confirmed order, the item master, the carrier portal.code and rules
Dunning and collectionsReminders by ageing bucket and customer history, with disputed invoices held back and the credit position summarised before the next order is released.Credit control.The ledger, the SDI invoices, the CRM.code and rules
Supplier invoice matchingThe match between purchase order, goods receipt and supplier invoice, with exceptions grouped by cause.Accounts payable, on the exceptions.Purchase orders, receipts, SDI invoices.code and rules
The determinism ratio

How much of this is actually AI.

This is the sector with the lowest determinism ratio we expect to find: five of six queues are rules over data the gestionale already holds. Only order entry has to read documents written by someone else, and even there the item match is a lookup once the text is out. A distributor that buys an AI platform for this is paying model prices for arithmetic. The AI Boundary Map exists to say so before the build, not after.

5 / 6 queues mostly rules · 1 / 6 with a model

Proof

No client names. Real patterns.

Every engagement produces the same five documents, whatever the sector. What we can show is anonymised: the pattern, the number, and where it applies.

When the choice is between a platform licence and one senior automation specialist, the specialist typically returns 5–10x, because they find the three workflows worth automating instead of automating the demo (SUPALABS engagement data, 2024–2026).

Related case studies

Customs Paperwork That Files Itself, in 31 CountriesEvery cross-border order needs the right customs form, the right Incoterm and the right return route — and the rules differ per destination. We built the system that decides all three and files the paperwork before the parcel moves. Read the case study →
Four Roles That Must Not See Each Other's DataAn intermediated marketplace has four kinds of user who must not see each other’s data. A pre-launch audit found a public signup path that could become an administrator — before a single paying user existed. Read the case study →
An Inbound Sales Agent That Qualifies Leads in Natural ItalianConstruction professionals ask about pricing at eleven at night. We built a messaging agent that answers in natural Italian, qualifies through five questions, separates enterprise from consumer, and books the demo. Read the case study →
All engagement data, with sources →
How authority is earned

Three tiers, set per task type, and you set the thresholds.

Every automated task runs at one of three levels of authority. The tier is set per task type rather than per system, so the same workflow can draft one step, wait for approval on another, and act alone on a third. A task moves up only when the evaluation suite shows the pass rate you defined as the threshold, and it moves back down the moment the monthly report shows a regression.

1
DraftedThe system prepares the work and a person finishes it. Every draft carries its evidence: the source documents, the rule or model that produced it, and its confidence. This is where every task starts, and where shadow mode runs before anything is shown to the team at all.Gated by the Exception Ledger — the task is not automated at all until its real deviations are written down.
2
ApprovedThe system prepares the complete action and a named person authorises it before anything consequential moves. The approval, the approver and the inputs go into the decision log.Gated by the evaluation suite — promotion from Drafted needs the per-step pass rate you set, measured against the golden dataset.
3
AutonomousThe system acts and the team audits afterwards, on a sample or on the exceptions. Any irreversible step stays at Approved regardless of accuracy, because a reversible mistake is a cost and an irreversible one is a liability.Gated by the monthly accuracy report — a regression alert sends the task back down a tier until the pass rate recovers.

Nothing is promoted on our say-so. The thresholds are yours, the report that tests them is a named line item, and the decision log shows every action that was taken at every tier.

The full method: five artifacts, three tiers, four rungs →
How an engagement runs

Four rungs. You can stop after any of them.

0
Qualification call — free, 30 minutesA straight answer on whether there is anything here worth mapping. No deck, no proposal, no follow-up sequence.
1
Mapping Sprint — five days, with the people who do the workPaid discovery. Produces the Exception Ledger, the AI Boundary Map, the evaluation plan and either a fixed-price build quote or a written no. If it shows you nothing you did not already know, you do not pay.
2
Build — six weeks to productionScoped from what the sprint found. Majority deterministic software on top of your existing systems, every task starting at Drafted, shadow mode before anything acts.
3
Run — ongoing, and optionalMonthly accuracy report against the golden dataset, regression alerts, cost-per-run tracking. Stop the service and keep the system.
From the blog

The problems, one at a time.

How to Automate Quotes and Orders for Italian SMBs - 2026 GuideIn-depth guide: How to Automate Quotes and Orders for Italian SMBs - 2026 Guide...
AI Warehouse Management Automation for Italian SMBs - 99% Error ReductionIn-depth guide: AI Warehouse Management Automation for Italian SMBs - 99% Error Reduction...
Goods Receipt vs. Invoice Matching: How to Automate 3-Way Matching in Accounts PayableGoods received but the invoice doesn't match? Automated goods-receipt matching cuts AP cost per invoice from $9.84 average to $2.65 for Best-in-Class teams (Ardent Partners 2025).
Electronic Invoice Automation SDI for Italian SMBs - Complete Guide 2026In-depth guide: Electronic Invoice Automation SDI for Italian SMBs - Complete Guide 2026...
Invoice & Payment Reminder Automation 2026: Get Paid 2x Faster with AIComplete 2026 guide to automating invoicing and payment reminders. Compare Fatture in Cloud, Stripe Invoicing, QuickBooks. Reduce DSO by 50%, save 7+ hours/month with smart reminder sequences.
AI Invoice Processing: Reduce Processing Time by 80%Automate invoice processing with AI to eliminate manual data entry, reduce errors, and accelerate payment cycles. Complete implementation guide.
AI for Retail & Wholesale in Italy: Complete Guide 2026How Italian retail and wholesale businesses in Lombardy, Lazio, and Campania are using AI to optimize inventory, predict demand, and increase sales by 25%.
Visirun Alternative: AI-Powered Fleet ManagementLooking for alternatives to Visirun? Discover AI-powered fleet management.
FAQ

Frequently asked questions

We run a common Italian gestionale. Can you work with it?Yes. We build on top through exports, APIs or the database views the vendor exposes, and we never propose replacing it. That is the ERP-additive covenant, and it is written into the scope at the start. The specific gestionale is a question for the call, not a blocker.
Can order confirmations really go out without a person?Below a threshold you set, and only after the task has earned it. Confirmations start at Drafted, move to Approved when the evaluation suite shows the pass rate you defined, and to Autonomous for orders under your value and risk limits. A confirmation is reversible; a shipment is not, so the shipment stays at Approved.
What about customers who order by phone or WhatsApp?They go into the Exception Ledger on day one of the Mapping Sprint, with how often it happens and who absorbs it. Some of that can be drafted from a transcript or a screenshot; some of it should stay with a person because the customer relationship is the point. The sprint decides which, and says so in writing.
Is this AI at all, if most of it is rules?Mostly it is not, and that is the finding you are paying for. A rule is cheaper to run, faster, and can be shown to an auditor as a rule rather than argued for as a sample. The model is used where a document has to be read. Vendors who sell you AI for the whole queue are selling you their demo.
How do you handle SDI and electronic invoicing?As a source, not as something to rebuild. Supplier invoices arrive through SDI in a structured format, which makes matching a rule. Outbound invoices are drafted from approved orders and shipments and go out through the channel you already use.
What does it cost?The thirty-minute qualification call is free. Everything after it is quoted per engagement, because the scope is a finding rather than an assumption. If the Mapping Sprint shows you nothing you did not already know, you do not pay for it.
Other sectors

The same method, other queues.

ManufacturingThe order arrives forty different ways. The line needs it one way.
Professional firms & agenciesThe billable hour is not where the time goes.
All sectors →

Thirty minutes to find out whether there is anything worth mapping.

The call is free, and we will tell you if the answer is no. Bring one queue that costs someone an evening a week.