Industry
Manufacturing & Industrial Supply
Quoting speed decides the order more often than price does.
Industrial buyers send specifications and expect a number.
The friction
Where the hours actually go.
Quote turnaround measured in days
A request touches inventory, pricing, the customer's negotiated terms and a shipping calculation, each in a different system and each requiring a person.
Pricing knowledge is tribal
The discount a given account expects lives in one salesperson's memory, which makes both holidays and resignations expensive.
Margin leaks quietly
Under time pressure, quotes go out without anyone checking the resulting margin against target.
Reorders are treated as new work
Repeat purchases of the same specification go through the full manual process every time.
The opportunity
What we would build, and in what order.
Sequenced by return, not by how interesting the technology is.
- 01Document & Finance
Parse the enquiry automatically
Product, quantity, destination and required date extracted from an email or PDF and matched to catalogue SKUs and the existing account.
- 02Workflow Automation
Assemble the quote from live rules
Stock checked, customer pricing tier applied, freight calculated and margin computed — presented to a person for approval rather than construction.
- 03Business Intelligence
Surface the margin before it is sent
Every quote shows its resulting margin against target, so approval is a judgement rather than a rubber stamp.
- 04AI Agents
Make reorders one click
Recognised repeat specifications are matched to purchase history and re-quoted at current pricing instantly.
Sector constraints
What we design around in this industry.
These are not caveats added at the end. They shape the scope from the first workshop.
- Quotes are prepared, never issued unattended — commercial commitment stays human
- Pricing floors and discount ceilings are enforced by the system and cannot be overridden by the model
- Export-controlled or hazardous goods always route through compliance review
Worked example
AI Quote Engine
A distributor receiving 500+ specification enquiries a week by email and PDF. Producing each quote means checking stock, applying the account's negotiated pricing tier, calculating freight to destination and confirming lead time — four systems, one salesperson, and a margin nobody verifies under deadline pressure.
Open AI Quote EngineThe system
What this looks like running in manufacturing & industrial supply.
A worked example, sized for a business of this shape.
- Enquiries this week
- 517
- Auto-parsed
- 463
- Low margin caught
- 22
89.6%
before sending
| Enquiry | Parsed to | Stock | State |
|---|---|---|---|
| Rotterdam Marine | XYZ-240 · 250 units | Confirmed, 4 days | Awaiting approval |
| Aalborg Fittings | PQ-118 · 1,200 units | Partial, split shipment | Awaiting approval |
| Hansa Werke | Specification unclear | — | Asked, not assumed |
| Delta Systems | XYZ-240 · repeat order | Confirmed | Re-quoted |
Pricing floors and discount ceilings are enforced by the system. An ambiguous specification stops and asks rather than guessing at the SKU.
Playbooks
Detailed implementations for manufacturing & industrial supply.
Each one carries a concrete scenario, what gets built, the metric that tells you it worked, and the boundary that stays with a person.
Quoting speed decides the order more often than price does.
Manufacturing & Industrial Supply · what is actually changing
Questions from this sector
Fair challenges.
Our pricing rules are genuinely complicated.
That is usually an argument for systematising rather than against it. Complexity held in people's heads is the thing that does not scale. We document the rules during discovery — clients frequently find contradictions in that exercise alone.
Can it read the messy PDFs our customers send?
We process a real sample before quoting the work, because messy corpora genuinely change the effort and you should know the number in advance.
Is this your business?
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