Use cases by industry13 use cases
AI automation for manufacturers and wholesale distributors
The typical scene is an inside sales team retyping purchase orders. Customers send PDFs, Excel order forms, email text and WhatsApp photos of handwritten lists, each with their own part numbers, and six people key them into SAP Business One, Business Central, abas or proALPHA line by line. WizCommerce, which sells order-entry software, puts manual entry at about 20 minutes and $10 to $12 per order. Treat that as the vendor's figure and count your own.
The pattern repeats upstream. Estimators read drawings and STEP files to answer RFQs; CloudNC says its quote agent brings a 2 to 4 hour RFQ down to 5 to 9 minutes, a vendor claim for CNC machining, not for sheet metal, assemblies or castings. Buyers chase suppliers for order confirmations in three languages. Order entry automation, RFQ-to-quote drafting and a supplier expediting agent cover those three desks.
Deadlines are arriving from outside too. Germany requires businesses above EUR 800,000 in prior-year turnover to issue structured e-invoices for domestic B2B sales from 1 January 2027, and everyone from 2028. Many industry ERPs cannot produce XRechnung or ZUGFeRD, which is what e-invoice issuing solves without replacing the ERP.
What I would build for manufacturing and distribution
An agent for the shared inbox: every email sorted, answered or filed into the right system
Reads every email in your shared mailboxes, sends orders and invoices into the right system, drafts replies for approval, and flags fake bank-detail changes.
Microsoft 365 shared mailboxes / Gmail and Google Workspace / The ERP (Business Central in this example) / Teams or Slack / The AP flow and accounting system
An agent that chases suppliers for delivery dates and updates the ERP when they change
Emails suppliers about open POs in their language, reads confirmations and date changes, writes agreed dates to the ERP and flags the late parts that will hurt.
Outlook and Microsoft 365 / SAP Business One / NetSuite / Shopify / Microsoft Teams or Slack
An e-invoice layer that lets an old ERP issue XRechnung and ZUGFeRD before 2027
Reads invoice data from the ERP you already have, maps it to EN 16931, generates XRechnung or ZUGFeRD, validates every file with KoSIT and sends it by email or Peppol.
The existing ERP or billing system / KoSIT validator / Email (Outlook or plain SMTP) / Peppol access point / DATEV
Connect your ERP and CRM to Claude, ChatGPT or Copilot without handing over the keys
Gives the assistants your staff already use a few scoped tools into the ERP, CRM and databases: read-only by default, writes behind approval, every call logged.
SAP Business One / HubSpot / Postgres or SQL Server database / Claude, ChatGPT and Copilot Studio / Microsoft Entra ID or another OAuth provider
Customer orders from email, PDF and WhatsApp, entered into the ERP without retyping
Turns emailed PDFs, Excel forms and WhatsApp photos into sales orders in SAP Business One or NetSuite, and sends only the doubtful lines to a rep.
Outlook and Microsoft 365 / WhatsApp Business Platform / SAP Business One / NetSuite / Excel order forms
Receiving XRechnung, ZUGFeRD and Peppol invoices without retyping a single field
Structured e-invoices end the retyping, not the work: this pipeline validates them, renders them for approvers, matches them to orders and archives the original XML.
Peppol access point / Outlook or Gmail AP inbox / KoSIT validator / DATEV / Xero
RFQ emails with drawings turned into draft quotes in your ERP, priced from your own job history
Reads RFQ packages, measures STEP files, flags revision and unit conflicts, finds similar past jobs and drafts an ERP quote for the estimator to price.
Outlook and Microsoft 365 / SAP Business One or Business Central / Excel price lists / PDF drawings and STEP files / Vector index of past quotes
Supplier invoices from inbox to ledger, with the checks a good controller would do
Reads supplier invoices from the AP inbox, matches them to purchase orders and goods receipts, and holds any invoice whose bank details changed until someone calls.
Outlook (Microsoft 365) / Xero / QuickBooks Online / DATEV / NetSuite
Turning a 40-tab dispatch spreadsheet into an internal tool with rules, roles and history
Moves daily planning off a 40-tab spreadsheet into a web tool with validated forms, roles and a full edit history, while people keep Excel for analysis.
Excel and Google Sheets / Postgres / Microsoft 365 single sign-on / The ERP or TMS / Slack
A customer portal where B2B clients track orders, download documents and ask questions
Each customer company gets its own logins, live orders and shipments from the ERP and carriers, every document in one place, and an assistant that sees only their data.
NetSuite / SAP Business One / Carrier APIs or the TMS / Document storage (SharePoint or a DMS) / Outlook and Microsoft 365
Collections follow-up that stays polite, logs promises to pay and routes disputes to a person
Staged payment reminders that check for payments first, read every reply, log promises to pay and pause for disputes, with anything final left to a person.
Xero / QuickBooks Online / NetSuite / Stripe / HubSpot
Modernizing a 20-year-old Delphi or VB6 application with AI and tests, one module at a time
Documents what an old application really does, pins that behavior with tests built from real data, then replaces it module by module while it keeps running.
The legacy application (Delphi, VB6, Access, old PHP or .NET Framework) / SQL Server or Access database / Claude Code / The target stack / CI pipeline
Warranty claims triaged from photos, serial numbers and receipts before anyone opens them
Reads the serial off a label photo and the date off the receipt, checks both against your ERP and warranty terms, and hands a person a claim ready to decide.
Freshdesk or Zendesk / Shopify / NetSuite or Business Central / Vision model / Google Cloud Vision web detection
The desks where a mid-sized manufacturer loses hours
Customer part numbers
Every customer uses its own codes, units and pack sizes. A cross-reference table, plus fuzzy and semantic matching where it falls short, maps them to your SKUs, and every correction a rep makes becomes a new mapping instead of a repeated mistake.
Purchase orders that differ from the quote
A PO that changes price, quantity, date or drawing revision against the quote is caught before the ERP order exists, not when the wrong part is already on the machine.
RFQ packs with mixed revisions
Drawings arrive in several revisions, in inches and millimeters, without surface treatments. The model lists every assumption it made; machine time comes from routing history and a cost model in code, and the estimator sets the price.
Supplier compliance paperwork
CBAM emissions data, REACH and RoHS declarations and conflict-minerals documents must be requested from suppliers, checked for completeness and filed per part. It is chasing work with a validation step, which suits an agent well.
An ERP nobody can ask
SAP Business One has no native AI agent and no official MCP server. A scoped MCP server lets sales ask Claude or Copilot about stock and orders without being handed the database.
Where a person signs off, and when EDI or a product is enough
Substitutions and price changes
The system never approves a substitute part or a changed price on its own. Discontinued items, off-contract prices and low-confidence lines wait in a queue for inside sales.
Customers already on EDI
Large customers sending EDI through SPS Commerce or a VAN do not need AI at all. The build targets the long tail that still emails PDFs and spreadsheets.
Food service ordering
Choco has raised $328M and runs order and voice agents for food distributors. For a food wholesaler on a system it supports, buying is the faster route.
Machining quotes
Paperless Parts and CloudNC already serve CNC job shops. Custom quoting pays for sheet metal, assemblies, castings and European ERPs those tools do not connect to.
Software these builds usually connect to
The systems do not get replaced. The build sits across them, reads from them through their APIs, and writes results back.
SAP Business One / Microsoft Dynamics 365 Business Central / NetSuite / abas / proALPHA / Epicor Prophet 21 / Infor CSD / Odoo / Sage / Acumatica / SolidWorks / SPS Commerce
Frequently asked questions
Can AI enter customer purchase orders into our ERP?
Yes, for orders that arrive as PDFs, spreadsheets, email text or photos. The model extracts the lines; mapping to your SKUs and checking price and stock are code; the sales order is created through the ERP's API, such as the SAP Business One Service Layer, keyed so a resent email cannot create a second order. Uncertain lines go to a rep with the source highlighted.
Is there an AI agent for SAP Business One?
Not from SAP. Business One has no native AI agent and no official MCP server. The practical route is a custom integration through the Service Layer or the DI API, with a secure connector when the system runs on-premises or with a hosting partner. Order entry, supplier confirmations and stock questions are the usual first builds, because that is where B1 users retype the most.
Do we have to replace our ERP to issue e-invoices in Germany from 2027?
Usually not. If your vendor offers an XRechnung or ZUGFeRD update at a sensible price, take it. If not, a converter layer reads invoice data from the database, an export or, as a last resort, the print output, maps it to the EN 16931 model, validates it with the KoSIT validator and sends it by email or Peppol. Most of that is plain code; AI helps with field mapping and reading print files.
Where should a manufacturer start with AI?
Where retyping is heaviest and the rules are clearest, usually customer order entry or the shared orders inbox. Run it in draft mode first so inside sales reviews every order it creates, measure accuracy per customer, and switch customers to automatic entry one at a time as their formats prove stable. Quoting and supplier chasing come next, because they reuse the same extraction and ERP connection.
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