Trade enquiries need catalogue interpretation
Customer aliases, old product codes and informal descriptions must be matched to the right item before quoting.
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
A prepared quote with commercial exceptions visible.
Resolve aliases and quantities against customer history.
Repeated checks, searches and handoffs take time from the work your team needs to move forward.
Customer aliases, old product codes and informal descriptions must be matched to the right item before quoting.
The team checks whether an enquiry means individual units, packs or cases and corrects the order before fulfilment.
Availability and lead time changes require pricing, split delivery or substitution options to be checked against account rules.
Open orders, supplier confirmations and stock exceptions must be brought together before the team can decide what to buy.
Reduce the cost of preparing each quote, respond sooner and protect order margin from product, unit and pricing errors.
resolve aliases, pack sizes, units, account pricing and availability; escalate ambiguous matches.
Faster preparation of accurate trade quotes.
match confirmations to purchase orders and expose changed quantities, dates or terms.
Earlier visibility of supplier changes affecting customer orders.
combine demand, open orders and lead times to surface stock out and excess stock risk.
Better prepared buying decisions across open orders and stock.
Compare customer orders, warehouse updates and supplier changes; prepare the available options and next owner.
Less time chasing changes after the order has been placed.
Agree the baseline, then measure the change. These are measures for a first project, not claimed client results.
We track accuracy, exceptions and review effort alongside speed, so work saved in one place does not become rework somewhere else.
A trade enquiry uses familiar product names, mixed quantities and customer specific terms.
Match products, check units and pack sizes, then bring in account pricing and availability.
A prepared quote with ambiguous matches, substitutions and delivery commitments flagged.
The commercial team approves prices, substitutions and commitments before the quote is sent.
Illustrative workflow.
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.
Multi line orders, pack sizes, substitutions and customer specific pricing.
Technical catalogues, product aliases and buying over supplier lead times.
Repeat B2B customers, mixed order channels and shared stock or purchasing operations.
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.
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.
The commercial team approves prices, substitutions and commitments.
The system does not promise stock or reserve inventory without approved scope.
Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.
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