Skip to main content
AmexSoft.

Sales operations

Automated Quote Generation

Turns brief requirements into structured quotes with approved pricing rules, exclusions and next steps for sales review.

Book an AI Automation AuditAll case studies

Automated Quote Generation

Sales operations

Overview

What this solution explores

This concept case study describes an AI-assisted quoting path: parse the brief, apply approved price lists and constraints, draft a structured quote, and stop for sales confirmation before anything reaches the customer.

Business problem

Where work gets stuck today

Pricing knowledge lives in spreadsheets and in people’s heads. Building a quote is slow, inconsistent, and easy to get wrong when exclusions and volume breaks are tribal knowledge.

Existing process

How the work usually moves now

  1. 01

    Sales receives a brief by email or call notes

  2. 02

    Someone finds the latest price list and past similar quotes

  3. 03

    Manual assembly in Word/Excel with tribal exceptions

  4. 04

    Manager review only when someone remembers to ask

Proposed AI workflow

The intended operating path

  1. 01Capture structured fields from the brief (SKU, volume, region, deadline)
  2. 02Resolve pricing through an approved rules engine or price tables
  3. 03Flag exclusions, missing data and out-of-policy requests
  4. 04Generate a structured draft quote for sales review
  5. 05Human confirms, then export/send through the normal channel

System architecture

Building blocks of the system

Brief intake form or email parser with validation
Pricing rules service (deterministic where possible)
Document template renderer for quote output
Review UI with diff against price policy
Audit log of inputs, rule hits and approver

Integrations

Systems this design connects to

  • ERP or price list source of truth
  • CRM opportunity / quote record
  • Document store for generated PDFs
  • Email for delivery after approval

Implementation approach

How we would pilot and harden it

Encode the top pricing paths before touching AI drafting
Keep AI for language and structure; keep numbers rule-driven
Require sales approval before customer-facing send
Expand SKU coverage only after the pilot path is trusted

Potential business impact

Qualitative outcomes to validate on a pilot

These are directional benefits — not invented percentages, hours saved or testimonials.

Shorter cycle from brief to reviewable draft
Fewer pricing mistakes from outdated spreadsheets
Clearer audit trail of how a quote was produced
Measure cycle time and exception rate on a pilot — no invented percentages

Visuals

Architecture and UI slots

Reserved slots for diagrams and mocks. Empty by design until assets are produced.

Quote workflow

Slot for brief → rules → draft → approval diagram

Draft quote UI

Slot for a sample quote draft with flagged exclusions

Related services

Delivery capabilities behind this solution

Business Process AutomationAI Agents for Business

Insights

Related insights

Want to scope a similar system?

Book an AI Automation Audit. Leave with a process map, prioritized opportunities and a recommended pilot.

Book an AI Automation Audit