Quotes Within a Day, Not a Week
A self-serve quoting engine that prices every custom order from live data and puts a reviewed quote in your customer's hands within a day.
- Profile
- Mid-sized custom manufacturer
- Industry
- Manufacturing
- Services
- AI Strategy & DiscoveryData ModellingRules Engine DevelopmentERP & Inventory IntegrationOngoing Support
- Tech stack
- ERPInventory systemPostgreSQLRules engineReactClaude
Spreadsheets and email, replaced by one engine.
A mid-sized manufacturer of custom products was losing deals to the clock. Every quote was built by hand from spreadsheets, checked against a separate inventory system and passed around by email for approval, so customers waited up to a week for a price.
Infoniq AI is building one quoting engine customers use directly. They describe what they need, the engine matches every line to a real product, prices it from live costs and the business's own rules, and flags anything unusual for a rep. A reviewed, branded quote is in the customer's hands within a day.
- Quote turnaround
- 1 week → 1 day
- Target
- Priced from live costs and margin rules
- Every line
- Target
Every day a quote waits is a day to say no.
Custom quotes are complex. Materials, labour, configuration, lead times and margin all feed one number that has to be right first time. Done by hand, the spreadsheets drift from real costs, discounts vary by rep and mistakes reach customers.
Worse, it's slow. While a quote sits in someone's inbox, a faster competitor gets the order, and leadership can't see what's being promised, at what margin, or how many quotes are won.
Configure the order, get the quote.
We start with the people who quote today: sales, finance and operations. Their pricing tiers, discount rules, margin floors and approval steps become a rules engine, so every quote follows the same logic.
The engine connects to the existing ERP and inventory systems and pulls live costs, stock and lead times for every line. Customers configure the order themselves; AI reads free-text requests and matches each line to the right product. Anything outside the rules goes to a rep, and a person reviews every quote before it's sent. Every quote, approval and change is logged, so leadership finally sees the pipeline.
Outcomes that compound.
- Quote turnaround
- 1 week → 1 day
- Target
- Priced from live costs and margin rules
- Every line
- Target
- Reviewed by a person before it's sent
- Every quote
- Target
- Of every quote, approval and margin across the team
- One view
- Target
Have a similar problem to solve?
Let's talk through your systems and data, and map out what a solution like this could look like for your team.