Quotation & Sales Automation
Turn an enquiry into a priced, approved quotation without entering the same information five times.
How the system works
Illustrative interface01RFQ / email / PDF
RFQ receivedSample02AI reads
AI reads the request- Document
- RFQ
- Line items
- 3 detected
- Terms
- Read from text
03Requirements extracted
RequirementsIllustrative- Product family identified
- Quantities structured
- Specification captured
04Pricing
Pricing rulesIllustrative- Price list appliedRule
- Customer tier appliedRule
- Margin check passedRule
05Quotation
QuotationSampleQuotation — illustrative
Product Qty Spec Price Component A 5,000 Grade 1 — Component B 1,200 Coated — Delivery · Per agreed lead timePriced from your own list06Approval
ApprovalIllustrativeDiscount above threshold — routed to managerApproved07Customer
Sent to customerIllustrativeLogged against the customer recordSent
The problem
Quotations slow down deals they should be speeding up
A salesperson gets an enquiry, then waits for someone else to confirm pricing, then builds the document manually, checking product codes and terms against three different sheets. By the time the quotation goes out, the customer has already asked a competitor.
Every quotation is formatted slightly differently because it's built from scratch each time. Discounts and terms are applied inconsistently because nobody has one source of truth for pricing rules.
When approval is required for a discount or a large order, it happens over WhatsApp or in person, with no record of who approved what.
- Salesperson waits on pricing
- Document rebuilt from scratch
- Discounts applied inconsistently
- Approvals happen informally
Every step depends on someone remembering. Nothing connects to the next step on its own.
Why it happens
Pricing lives in someone's head
Only one or two people know the current rules, and they become the bottleneck.
Documents are rebuilt each time
There's no template pulling from live product and pricing data.
Approvals aren't tracked
Discount sign-off happens informally with no audit trail.
What we automate
The work this system takes off your team
- Pulling product, pricing and customer terms into the quotation automatically
- Applying discount and approval rules based on order size or customer type
- Routing quotations for sign-off before they go out, when required
- Generating a consistent, branded document every time
- Sending the quotation and logging it against the customer record
- Triggering follow-up reminders until the quotation is accepted or closed
Before and after
What changes on the ground
Before: scattered work
- Salesperson waits on pricing
- Document rebuilt from scratch
- Discounts applied inconsistently
- Approvals happen informally
Information is copied between tools by hand. Nothing is connected, so nobody can see the full picture without asking someone.
With ReLeaf: one connected system
- 01Instant pricing pullFrom one source of truth
- 02Consistent documentGenerated automatically
- 03Rules-based discountsApplied the same way every time
- 04Tracked approvalsRecorded, not verbal
Each step hands the next one the information it needs. Work moves forward on its own and management can see where every job stands.
Use cases
Where businesses apply it
Trading company with hundreds of SKUs
Quotations pull correct part numbers and current prices instead of relying on a salesperson's memory.
Manufacturer with costed BOMs
Quotations reflect real material and labour cost inputs, so margins are protected without extra manual checking.
Business with tiered customer pricing
Discount tiers apply automatically by customer category, removing inconsistent one-off deals.
Who benefits
- Sales team
- Quotations go out same-day instead of waiting on someone else.
- Finance / management
- Discounts follow agreed rules with a visible approval trail.
- Customers
- Faster, more consistent quotations build confidence in your business.
Possible integrations
- Zoho Books
- QuickBooks
- Odoo
- SAP Business One
- Excel
- Google Sheets
We work with what you already run. If a tool is not listed, we look at whether it can connect before recommending a change.
Implementation
How we put this in place
- 01
Map your pricing logic
We document how prices, discounts and terms are actually decided today.
- 02
Build the template
We create a quotation template that pulls from your live data.
- 03
Add approval rules
We set thresholds for when sign-off is required and by whom.
- 04
Test on real enquiries
We run it on live quotations before it becomes the default.
Questions we usually get asked
Related systems
Industries we build this for
Get quotations out in minutes, not days
Show us how you currently build a quotation and we'll show you what can be automated.

