AI FOR Wholesale & Distribution

Make complex orders
easier to get right.

AI implementation for trade wholesalers and specialist distributors. Interpret product enquiries, support buying decisions and connect catalogue, stock and customer specific terms.

Trade supply · specialist distribution · catalogue operations

2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.WHOLESALE ORDER INTERPRETATION

Trade quotation assistant

Example
Trade customer / product enquiry

“Two boxes of the usual filters, plus fittings for Friday.”

01
ProductResolve the customer’s usual item
02
QuantityCheck pack size and unit
03
DeliveryStock and lead time to confirm

A prepared quote with commercial exceptions visible.

Resolve aliases and quantities against customer history.

WHERE THE WORK SLOWS DOWN

Where does the
operation lose time?

Repeated checks, searches and handoffs take time from the work your team needs to move forward.

01

Trade enquiries need catalogue interpretation

Customer aliases, old product codes and informal descriptions must be matched to the right item before quoting.

02

Order quantities hide unit differences

The team checks whether an enquiry means individual units, packs or cases and corrects the order before fulfilment.

03

Supplier changes trigger manual replanning

Availability and lead time changes require pricing, split delivery or substitution options to be checked against account rules.

04

Buying reviews depend on scattered records

Open orders, supplier confirmations and stock exceptions must be brought together before the team can decide what to buy.

WHAT WE CAN BUILD

AI that earns its place
in your operation.

Reduce the cost of preparing each quote, respond sooner and protect order margin from product, unit and pricing errors.

01

Quote preparation

resolve aliases, pack sizes, units, account pricing and availability; escalate ambiguous matches.

BUSINESS GOAL

Faster preparation of accurate trade quotes.

02

Supplier order interpretation

match confirmations to purchase orders and expose changed quantities, dates or terms.

BUSINESS GOAL

Earlier visibility of supplier changes affecting customer orders.

03

Buying and replenishment models

combine demand, open orders and lead times to surface stock out and excess stock risk.

BUSINESS GOAL

Better prepared buying decisions across open orders and stock.

04

Order exception coordination

Compare customer orders, warehouse updates and supplier changes; prepare the available options and next owner.

BUSINESS GOAL

Less time chasing changes after the order has been placed.

MEASURING THE VALUE

Make the business case
measurable.

Agree the baseline, then measure the change. These are measures for a first project, not claimed client results.

01

Minutes per usable quote

02

Order correction and rework rates

03

Cost to serve each order

We track accuracy, exceptions and review effort alongside speed, so work saved in one place does not become rework somewhere else.

ONE WORKFLOW, IN PRACTICE

A quote that understands pack sizes, pricing and availability

  1. 01

    What comes in

    A trade enquiry uses familiar product names, mixed quantities and customer specific terms.

  2. 02

    What the AI does

    Match products, check units and pack sizes, then bring in account pricing and availability.

  3. 03

    What your team receives

    A prepared quote with ambiguous matches, substitutions and delivery commitments flagged.

HUMAN REVIEW

The commercial team approves prices, substitutions and commitments before the quote is sent.

Illustrative workflow.

WHO WE WORK WITH

Does this sound
like your business?

We work with trade wholesalers and specialist distributors where catalogue detail, pack sizes, account rules and lead times affect each order. Repeat customers and buying decisions create a practical foundation for AI.

Scope follows the volume of recurring work, the number of systems involved and the decisions your team needs to make. A small central team can still run a complex operation.

01

Building and mechanical trade suppliers

Multi line orders, pack sizes, substitutions and customer specific pricing.

02

Specialist product distributors

Technical catalogues, product aliases and buying over supplier lead times.

03

Trade wholesalers

Repeat B2B customers, mixed order channels and shared stock or purchasing operations.

A PRACTICAL FIRST PROJECT

One workflow. Real data.
A working result.

01

Choose a workflow across trade quotations, order exceptions, supplier confirmations or buying.

For quotations, test product matching, units, account rules and the effort needed to reach an approved quote.

02

A focused proof of concept ships in 2 to 4 weeks.

The result shapes the production scope, with the access, integrations and operational support needed for daily use.

A QUESTION WE WOULD EXPECT

Let’s be specific.

The commercial team approves prices, substitutions and commitments.

The system does not promise stock or reserve inventory without approved scope.

YOUR NEXT STEP

Where is the next order getting held up?

Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.

LET’S START WITH THE WORK

Book a discovery call.

Tell us where the work gets stuck. We’ll explore a practical first project with our senior AI engineering team.

YOUR PRIVACY