Prepare Customer Quotes from Your Product Catalogue

What the service is

This service designs and runs an automation that converts structured customer requests into draft quotes from approved catalogue, price and discount data, then routes each draft for human review before sending.

Who it is for

It suits businesses that receive quote requests in consistent formats and repeatedly assemble similar products, quantities and prices from a maintained catalogue. A company may use a spreadsheet, CRM, ERP or quoting application as its source of truth. The important condition is not company size or software brand; it is whether product identifiers, price rules and approval responsibilities are clear enough to follow.

It can help sales and operations teams when staff repeatedly search a catalogue, transfer request details into quote lines, check pricing, and chase missing information internally. Requests should be sufficiently structured to identify the customer, items or product requirements, quantities and relevant commercial context. Free-form or highly technical requests may still need a person to interpret them.

What is included

• A review of the request intake, catalogue, price and discount data, quote creation steps, and approval points.
• A process map showing what the automation can prepare, what information it checks, and where staff must decide or approve.
• Connections to agreed request channels and business systems, subject to their available access and integration options.
• Product matching against approved catalogue records, with unmatched or ambiguous items flagged instead of silently guessed.
• Draft quote preparation using the applicable approved price and discount data available in the connected system.
• Checks for missing fields and defined exceptions, such as an unavailable price, unclear quantity, or a discount requiring review.
• Routing of completed drafts and flagged cases to the designated human reviewer.
• Operational handover and support for the agreed workflow.

How it runs

Audit

First, the team examines sample requests, catalogue structure, pricing sources and the current approval process. The audit checks whether requests contain the fields needed to build a quote and whether approved pricing can be identified reliably. If the source records conflict or key rules exist only in staff members’ judgement, those gaps are surfaced before implementation.

Process map

Next, the workflow is documented from request receipt to draft approval. The map defines which source controls product and price data, what counts as a match, which missing details block preparation, and which exceptions go to a person. This boundary matters: automation should not invent a product match or make an unapproved pricing decision.

Build

The agreed workflow is configured to read structured requests, retrieve relevant catalogue and pricing information, and create draft quote records or documents in the agreed destination. Validation and exception routing are built around the business rules confirmed during mapping. For example, Microsoft Dynamics 365 Sales documentation describes quote calculations as dependent on the product catalogue, price list, line items, pricing rules and discounts. That is a useful illustration of why the source data and rules must be explicit, not a claim that every client uses Dynamics 365.

Run

When a request arrives, the workflow checks required details, finds catalogue items, applies available approved pricing data, and prepares a draft. It sends incomplete or out-of-rule cases to the designated reviewer with the reason they need attention. A person checks and approves the draft, resolves exceptions, and sends the customer quote. This service covers preparation, not quote follow-up.

Support

After handover, support addresses the agreed automation workflow. Catalogue changes, new discount policies, altered approval roles or changes to connected systems may require review or further work. The team should also have a named owner for keeping source data and business rules current; automation cannot make outdated records correct.

What the client provides

• Examples of customer requests and the quote output your team expects.
• Access to the relevant catalogue, price lists, discount rules and systems, with an authorised contact for setup.
• Clear rules for product matching, currencies, quantities, required quote fields and which exceptions need approval.
• The names or roles of people who review drafts and make pricing or product decisions.
• A process owner who can validate test drafts and confirm that the workflow follows current policy.

Typical timeline

There is no responsible universal week range to promise before seeing the catalogue, systems and approval rules. The audit establishes the work involved; the process map confirms scope; then a delivery schedule can be agreed for build, testing, launch and support. A clean catalogue and a straightforward request format generally require less preparation than inconsistent records, complex product configuration or several pricing and approval paths. AiStaffo confirms the expected timeline after reviewing those factors.

What it does not cover

This workflow prepares drafts; it does not automatically send quotes, negotiate with customers, follow up after sending, or make discretionary pricing decisions. It cannot reliably resolve vague product descriptions, missing specifications or conflicting source data without a person or an agreed rule. Highly configurable products may need specialist product rules or technical review beyond a catalogue lookup. Tax, shipping, legal terms and regional pricing are included only if the relevant source data and approved rules are in scope and can be checked in the connected systems.

Automation is not worthwhile where requests are mostly unique, catalogue data is unreliable, or the time spent maintaining rules would exceed the work saved. In those cases, improving the request form, catalogue ownership or approval policy may be the better first step.

How to judge fit

Before automating, compare a set of real requests with the catalogue and approved quote outputs. Confirm that the intended product, price source and approval route can be identified without relying on undocumented judgement. If they can, draft preparation is a practical candidate for automation. If they cannot, document and resolve those rules first.