Manufacturing and Distribution

Check the order before it becomes an order.

Orders arrive as documents and become orders by being typed in. We put the reading and the checking into a system that runs the same five checks every time, and send the commercial exceptions to whoever has to defend them.

  • Order entry and exceptions
  • Customer, pricing and stock records
  • Territory and account coverage
  • Commercial calls kept human

The typing is not the expensive part. The checking that never happened is

Every one of these is a check somebody would have made if they had time, on a document somebody had to read anyway. Six patterns turn up in almost every distribution business we map.

Orders arrive as PDFs and get typed in by hand

Email, portal downloads and attachments all end up as somebody reading a document on one screen and keying it into another. The customer sees the ones that get keyed wrong.

Corrections, re-ships and a credit note nobody budgeted for.

The price on the order is not the price in the agreement

Contract pricing was uplifted in April, the customer is still ordering at last year's number, and nobody notices until the invoice is queried or the margin report comes in low.

Margin given away one line at a time.

Stock says one thing and the shelf says another

Allocated, on hand and inbound are three different numbers, and the one a salesperson quotes from is whichever screen they had open.

A promise made on stock that is already spoken for.

The same customer exists three times

Different delivery points, a name that changed, and an account somebody opened rather than searching. Each copy carries its own price agreement and its own credit position.

Credit exposure that is real and invisible.

Nobody knows an order is late until the customer calls

The purchase order slipped, the sales order kept its promised date, and the two facts live in systems that have never been introduced.

A service reputation you are paying for and not earning.

Reporting is an export somebody builds every month

Margin by product, by customer and by territory is assembled by hand out of two systems, so it arrives late enough to be history rather than a decision.

The reporting week is its own job.

Give the system the checking and keep the commercial call

Controlled delegation is the whole design, and everything below this band is an application of it. Reading and checking go to the system. Anything that costs a customer money or changes what they were promised goes to a person.

  • 01

    The same documents arrive again

    Purchase orders, remittances, supplier confirmations, delivery notes and enquiries. The same shapes over and over, arriving faster than a person can read them, and every one handled as though it were the first.

  • 02

    The system reads and checks against what you already hold

    Matching the customer, checking the price against the agreement, checking the quantity against stock, checking the date against replenishment and checking the value against credit. Five checks, in the same order, on every order.

  • 03

    People take the commercial exceptions

    A price above what the customer wrote down, an allocation between two accounts, a substitution, a credit call. These go to whoever will have to defend them on the phone, with the options already costed.

See it run

A purchase order arrives as a PDF and leaves as a checked sales order

The order gets read, matched to the customer, checked against stock, contracted pricing and credit, and split so the clean lines move while the exceptions wait for a person.

Order Processing
  1. Input
  2. Context
  3. AI work
  4. Action
  5. Approval
  6. Recorded

Connected systems

  • Email and EDI Incoming orders updated
  • ERP Sales orders updated
  • Inventory Stock and allocation updated
  • Pricing Contracts and price lists updated
  • CRM Customers and history updated
  • Finance Credit and terms updated

Purchase order PO-48927 Trentwood Facilities Ltd

  1. Order received PDF attachment, no structured data
  2. Customer matched Account 1188, 6 years, no disputes
  3. Contract pulled Agreement 44, expires March
  4. Credit checked Within limit, terms current
  5. Order read 6 lines, quantities and part numbers extracted
  6. Parts matched to catalogue 6 of 6, including two customer part numbers
  7. Stock checked All 6 lines available from the main site
  8. Prices checked 6 of 6 match the contract
  9. Sales order created SO-22104, 6 lines, no manual entry
  10. Stock allocated Reserved against the order
  11. Customer record updated Order logged against the account
  12. Held for sales release A person releases orders, even clean ones
  13. Run recorded Source PDF kept alongside the order it produced

Result

Order ready to release Read, checked and entered without anybody retyping a part number.
  • Order lines 6
  • Parts matched 6 of 6
  • In stock 6 of 6
  • Price matches 6 of 6
  • Credit Within limit
  • Keystrokes 0

Completed automatically

  • Order read from the PDF
  • Customer and contract matched
  • Stock checked and allocated
  • Sales order SO-22104 created
  • Customer record updated

Requires a person

Releasing the order to the warehouse.

Sales desk

ReleaseAmend orderHold
View audit trail
  • 07:44 Order received by email. Source PDF retained.
  • 07:44 Customer matched to account 1188 on the order header.
  • 07:45 6 lines extracted. 2 customer part numbers mapped to catalogue codes.
  • 07:45 Prices checked against agreement 44. All lines match.
  • 07:45 SO-22104 created and held for release.
5 actions completed 3 systems updated 1 exception 1 approval

This demo uses fictional data. The workflow gets configured around your systems. Build a workflow like this

Four workflows, and the order they usually go in

Order entry is what businesses come for. The customer and pricing record is what makes it safe. The two usually get built together, with the cleaning slightly ahead.

Operations

Order entry and exception handling

Every line checked before it becomes an order

Reads the purchase order whatever form it arrived in, matches the customer, and checks every line against the price agreement, live stock, the replenishment schedule and the credit position. Clean orders release under a rule you write. Anything that fails a check goes to a person with the options already worked out.

  • Reads the document PDF, scan, email body or portal export
  • Five checks on every line customer, price, stock, date, credit
  • Exceptions with options ship short, substitute or backorder, each already costed
How a workflow gets built

Data: orders, customer master, pricing, stock and credit. Human: a salesperson decides anything commercial.

Operations

One customer, one record

The unglamorous work that everything else needs

One customer master without duplicates, price agreements that are current, and a stock position that means what it says. This is the least interesting workflow on the page and it is the one that decides whether the other three are possible, because a check is only as good as the record it checks against.

  • Duplicates found and merged with the credit and pricing consequences named first
  • Agreements with expiry dates so an expired price stops being the price
  • Stock that distinguishes on hand from allocated from inbound
How the record gets built

Data: your customer, pricing and inventory masters. Human: commercial owns what a merge does to a price.

Revenue

Territory and account coverage

Which accounts are moving, and which stopped

Buying patterns by account and by territory read together, so a customer whose order frequency has halved surfaces while there is still a relationship to save. The account manager gets the account, the history and a reason to call, and decides whether to make the call.

  • Change surfaced early a pattern breaking, rather than a year-end review
  • Coverage without an export territory position visible while it can still be acted on
  • Outreach drafted, not sent the account manager owns the conversation
How a workflow gets built

Data: your own order history by account. Human: the account manager decides who gets called.

Insight, later

Margin, service and forecast off your own data

The questions that currently take a week to answer

Margin by product, customer and territory after settlement rather than at the quote, service performance against what was promised, and demand patterns that inform replenishment. This is also where predictive work belongs, once the record underneath it is good enough to trust, and not before.

  • Margin after settlement including the credits and the freight
  • Service measured against promises the date you gave, not the date you hoped for
  • Demand patterns for replenishment from your own history rather than a rule of thumb
How the data layer gets built

Data: your own order, delivery and financial records. Human: analysts validate before anything is acted on.

A checking system is only as good as the record it checks against. Run order entry against a customer master with three copies of the same account in it and the workflow will price against the wrong agreement, check credit against the wrong balance, and do both faster and more consistently than a person ever managed. That is the argument for the second workflow, and it is why the cleaning sits in the sequence below rather than in the assumptions.

Six decisions taken before anything is built

These get agreed with commercial, customer service and whoever owns the ERP before a build starts. Between them they decide what the workflow is allowed to release on its own.

Auto-release rules
Which orders may release without a person, up to what value, and which checks all have to pass first. Written down, versioned, and recorded against every release so the rule can be tightened or widened on evidence rather than on feeling.
Customer matching confidence
How certain a match has to be before an order is attached to an account, and what happens below that line. The demo above stops on two candidate accounts because they carry different prices and different credit limits, and that is the rule doing its job.
Commercial decisions Kept human
A price above what the customer wrote down, a substitution, a credit override or an allocation between accounts. These stay with a person on every order, because each one is a conversation the business will have to have.
System of record
Which system owns the customer, which owns the price and which owns the stock position, decided before anything is connected. Two systems that both believe they own the customer is the most common cause of a workflow producing confident wrong answers.
Audit trail
What arrived, how it was read, which checks ran, what failed, which rule released it and who approved anything that was overridden.
Escalation path
What happens when a document cannot be read, a customer cannot be matched or a check has no answer. A workflow with no escalation path escalates to whoever notices.

What counts as working. Accepted output against your own baseline is the proof. The baseline gets taken before the build exists, and afterwards the same work is measured against it with the review burden counted openly, because a system that processes plenty and has to be corrected twice has saved nothing. How we measure AI work sets out the method.

One channel, proved, before the whole order book

The first build runs on one order channel or one customer segment, so the business can judge it on real orders without betting the order book on it.

Map the work
Two to three weeks. How orders, fulfilment and pricing actually run, where the errors and the margin leakage sit, and the candidates scored by value and readiness. This is FusionMap.
Clean the record
Five to nineteen weeks depending on the state of it. Customer master, price agreements and stock position, because every check on this page is only as good as what it checks against. Some of this is usually running before the workflow starts.
Build one workflow
Four to six weeks. Usually order entry, on one customer segment or one order channel rather than across the whole book, tested against the baseline agreed at the start.
Train and operate
Ongoing. Into daily use with customer service trained to run it and to read what it refuses, reviewed against the baseline, then the next channel or the next workflow.

Where this has already been built

The approach on this page comes out of these engagements. Two are businesses that move physical goods, and two are the design patterns the workflows above are built on.

A digital adoption plan for a manufacturer, accepted by ISED

Inventory and operations mapped across every department for a specialty food manufacturer, with the plan assessed and accepted by a funding body. The work of finding out what the operation actually does before deciding what should run it.

Every department mapped, not just the obvious ones Accepted by ISED as a funded plan
Read the case study

Brand, growth and process for a materials supplier

Argent supplies furnishing and construction materials and was expanding into new markets with the operation held together by people. Brand strategy, growth marketing and process improvement delivered together, because the demand would have broken the operation on its own.

New markets expansion supported by the process work Brand and ops delivered as one engagement
Read the case study

Territory research running inside a sales team

A safety products business whose reps researched their territories by hand now has that research arriving every morning without anyone triggering it. The pattern behind the coverage workflow above.

550+ districts researched per territory 3 agents kept running and updated
Read the case study

A client profiling engine with the approval kept human

Fixed rules produce the classification so the same inputs always give the same answer, and every output waits in an approval queue. The same two design decisions the order workflow above is built on.

Under 5 min form to a review ready file 8 weeks concept to a deployed platform
Read the case study

Begine Fusion is a Zoho Authorized Partner working across Canada, the United States, the United Kingdom and Nigeria, with a team on the ground in Nigeria since 2013. Every engagement is published in full, including what was measured and what was a design target. The full set is on our work.

Whether this is the right conversation yet

The work pays back when order volume is high enough that consistency matters more than speed on any single order. If that is not where you are, the right column says what to do instead.

This fits if

  • A meaningful share of orders arrive as documents that somebody keys in
  • You have raised a credit note in the last quarter for an order that was entered wrong
  • Contract prices exist and at least one customer is still ordering at the old one
  • Somebody can tell you the stock figure and somebody else can tell you a different one
  • Commercial can own the auto-release rule, because writing it down is most of the value

Start somewhere else if

  • You do not yet know what order errors cost you. Go to FusionMap and find out before commissioning a build.
  • The customer master has duplicates in it. That gets fixed first, because a check against a bad record is worse than no check.
  • You are looking for predictive maintenance. That is a real project and it needs a sensor and maintenance history this page does not assume you have.
  • Nobody is looking after the ERP you already have. Go to Managed Operations.

Start where the problem is

The same five offers every other client buys, scoped to a business where the same document arrives four hundred times a month. Find the line that sounds like yours.

Orders are slow and error-prone and nobody can say what that actually costs

FusionMap

The customer master has duplicates and the price agreements are out of date

Systems Build

One workflow is defined, agreed, and ready to be built properly

FusionBuild

People are already using AI on customer correspondence and nothing is written down

FusionGuard

The ERP went in, it works, and nobody has looked after it since

Managed Operations

Your people have to supervise what a system produces, not just operate it

AI Systems Mastery

No price is quoted on this page. A sector is not an offer and does not have a price of its own. What a business here pays follows which of those six lines is the real one and what state the customer and pricing records are in. Working out which line is yours is what the first call is for.

Asked on every call in this sector

The seven that decide whether a build is worth starting, answered before the proposal rather than inside it.

Why not predictive maintenance?

Because it needs sensors, a maintenance history and a failure record that most of this market does not have, so it sells a capability the buyer cannot act on for eighteen months. Order handling uses data you already hold, in systems you already run, and can be live in a quarter. Predictive work is a real thing and it belongs after the record is good enough to support it, which is the honest order rather than the impressive one.

Do we have to replace our ERP?

Usually not, and we would rather you did not while the customer master still has duplicates in it. The common finding is that the ERP is capable and the records inside it are not, which is a different and much cheaper problem. If the mapping finds a system that genuinely cannot carry the work, we will say so with the reasoning.

Our customers will not move to EDI or a portal. Does this need them to?

No, and that is most of the point. The workflow reads the order in whatever form the customer chose to send it, which means the burden of changing sits with you rather than with them. A distributor who can accept a PDF as cleanly as an EDI message has an advantage over one who keeps asking customers to buy differently.

What stops it releasing an order it should not have?

The auto-release rule, which you write and which is deliberately narrow to begin with: a value ceiling, and every check passing. Every release records which rule allowed it, so after a few weeks you can see exactly what would have happened at a wider setting before you widen it. Most businesses start with clean orders under a low ceiling and move it once.

How much of this depends on our data being good?

All of it, which is why the second workflow on this page exists and why the cleaning stage is in the sequence rather than in the assumptions. A checking system built on a customer master with duplicates in it will produce confident wrong answers, and it will produce them faster than a person would have.

How do we know it worked?

A baseline is taken before the build exists: current time per order, the error rate that reaches a customer, the credits raised for order errors and the days spent on the monthly report. Afterwards the same work is measured against it, with the review burden counted openly.

How long before anything is running?

Order entry on one channel is usually four to six weeks once the records underneath it are sound. Getting them sound is the variable, and it runs from a few weeks to a few months depending on what is in there. The mapping at the front is two to three weeks and tells you which it is.

Bring the order that went wrong and the credit note that followed it

Thirty minutes with someone from commercial, someone from customer service and whoever owns the ERP is enough to name the first workflow, the records it needs underneath it, and the baseline it gets measured against.