Home / Case Studies / Implementation of the AI smart quotation and cost validation desk programme for manufacturing
Anonymized review of a real project

AI smart quote

Manufacturing AI Intelligent Quotation Workbench

Showcasing how manufacturing enterprises have converted the request for information from e-mail, Excel, PDF and drawings into structured demand, linking product configuration, BOM, materials, hours of work, historical quotations, customer rules and approvals, leading to retroactive offer proposals and cost verification.

Document ParsingLarge Language ModelRule engineProduct ConfigurationERP and PLM integration
Anonymized review of a real project

A delivered project, presented with client information anonymized

This page includes only project facts that can be disclosed. Client identity, contract value, production data and sensitive configuration are omitted. We do not publish performance, cost or benefit figures unless they can be supported by reliable project records.

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Who's using it, what's the system doing, what's the value?

Main users

Sales, pre-sale technology, cost accounting, procurement and quotation approvals

Actual use

The system aggregates the needs in the request for information mail, attachments and drawings, matching product configurations with historical options, with certainty rules computing materials, working hours, taxes and fees and Maori; AI is responsible for organizing and supporting the formal prices, which remain manual.

Core functions

Request for quotation processing

Extracts critical needs from mail, tables and drawings, and identifies missing or conflicting fields.

Matching of programmes with costs

Associated product configuration, BOM, working hours, material prices and historical programmes.

Quote validation

Rules are used to check costs, discounts, taxes, payments and target payouts.

Approval and return

The quotation version and approval records are maintained and the actual cost of the order is used for subsequent re-entry.

Value to operations

The following are the value directions that can be prioritized for the same projects and do not represent fixed proceeds; formal projects should first establish the enterprise ' s own business baseline.

Reduce duplication of effort in the processing of requests for information and historical programmes

Retroactive basis for amounts, costs, discounts, approvals and quotations

Surged senior staff experience to maintain rules and knowledge

Keep the price and actual order costs closed for continuous improvement

01 / Status of operations

What are the conditions under which a business usually encounters this problem?

This page provides examples of similar project options that demonstrate demand, systems and acceptance designs and do not commit to an automatic rate of accuracy of quotations that deviate from the true data conditions.

Client demand spreads over mail, attachments, tables and drawings, with the fields missing and expressing more widely

Product configuration, BOM, materials, hours, external relations and risk costs maintained by different personnel

Reproduction of historical offers is easy to follow from expired costs, taxes, payouts or commercial terms

Large models can generate program text, but the amount, discount and gross domestic product cannot be determined directly by probability output

Sales, technology, cost and management approval responsibilities did not form a unified status chain

Actual cost, change and Maori after delivery did not feed back to the next offer

02 / Implementation methodology

How to break down such projects

The first phase is defined by real business assignments that identify processes, data, system dependence and unusual boundaries. The following is the sequence of implementation adopted or recommended in this case.

01

Select a product family or project type to collate recent requests, official offers, orders and actual costs as a baseline

02

Create data responsibilities for demand fields, product configuration, unit of measure, BOM, working hours, materials, risk and approval

03

Use document resolution and AI to extract the request for information and request manual additions for missing, conflicting and low-trust fields

04

Models are responsible for matching knowledge and generating instructions through rules, formulae and authoritative systems for costing, discounts, taxes, fees, freight and Maori

05

Completion of first draft sales, technical confirmation, cost review, clearance and copy marks at the same desk

06

Connecting to the CRM business, ERP costs, PLM products and contract systems and designing compensation for duplicate writing and interface failure

07

Revert final order, change, delivery cost and client feedback, manual correction and quotation deviation

I don't need to write a complete request first.

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03 / Project boundary

Who's responsible for what? What conditions must be confirmed first?

Responsibilities of the parties

Interviews with sales, technology, cost, procurement and finance staff and restoration of the true quotation process

Assistance in establishing acceptance and inspection calibres for fields, amounts, serious errors, manual modifications and approvals

Develop a symmetry, matching, computing, workstation, privileges and enterprise systems interface

Organizational history re-entry, greyscale trial, cost reconciliation, abnormality testing and running a double disk

Binding and boundary

The official price, cost, taxation, contract and commercial commitment is ultimately the responsibility of the authorized personnel of the enterprise

Graphics, processes and non-standard requirements may require expert expert expert judgement from industry and cannot rely solely on model extrapolation

Historical quotations must be cleaned and rules confirmed if they are not consistent in calibre or if actual costs are missing

Example: The engineering method is only described, and accuracy, time savings and Maori improvements require a baseline from a real sample

04 / Scope of the system

Capability module for possible inclusion in the first phase

The name of the module is not the final quote range. The formal entry requires item-by-item confirmation of the user, input output, permission, interface, abnormal process and entry or not.

Request for e-mail and attachment accessDocument Drawing Field ParsingProduct Configuration and History ProgramBOM materials time costQuoting rules and Maori verificationMulti-role approval and versionCRM ERP PLM integrationQuality of offers and business re-entry
05 / Delivery and acceptance

What should be left when delivery is complete?

DeliveryQuoting links, product range and data liability blueprint
DeliverySpecimen collection of de-sensitized prices, quotations and orders
DeliveryAI smart quote desk and manage backstage source
DeliveryProduct configuration, cost, discount, approval and template rules
DeliverySystems interfaces, CRM, ERP, PLM, contracts, etc.
DeliveryFields, amounts, privileges, performance and abnormality test reports
DeliveryQuoting version, manual revision and actual cost re-disbursement methodology
DeliveryDeployment, configuration, operation, mobility and knowledge transfer information

Engineering evidence for review

The page does not claim to have a customer ' s project material; the following verifiable records should be established for formal implementation, according to the scope of the contract.

Engineering evidenceProduct scope, quotation process, field dictionary, cost rules and approval matrix
Engineering evidenceFreezing of historical requests for quotations, manual standard quotations and final order evaluation
Engineering evidenceField extraction, product matching, calculation of amounts and serious error-by-fact results
Engineering evidenceRetroactive records of each amount to rules, cost sources, versions and manual confirmation
Engineering evidenceRepeated submission, missing data, failure of interface, over-authorization discount and low-māori testing
Engineering evidenceProcess time, manual modification, quotation cycle, actual cost and deviation reset

Recommended acceptance and inspection baseline

Key demand field and product matching in fixed samples meets the recognized baseline

All amounts are calculated by the rules of certainty or authoritative system and are subject to review

Discounts, Maori and special provisions cannot circumvent role authority and approval

Loss, conflict, low confidence and ability to transfer people when models are not available

Quote version, basis, modification, approval, dispatch and order results traceable

Enterprises are able to maintain the code template and take over the source code, interface, deployment and evaluation

DECISION FAQ

Common issues related to current projects

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AI smart quote system and automatic quote

How should the AIS accuracy rate be assessed?

The price should be evaluated separately. The request for quotation field should be checked for extraction, matching of product or historical options, BOM's time-to-work calculation, cost source, discount privileges, Maori verification, quotation statement and manual modification, and should be counted separately for serious errors that would cause loss or erroneous commitment.

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AI smart quote system and automatic quote

Can AI make an automatic offer based on drawings or BOM?

AI can assist in reading the drawing title bar, materials, dimensions, public transport, quantity and BOM fields, retrieve historical processes and projects and generate drafts of proposals that require confirmation. Complex processes, manufacturing, wear and tear, equipment capacity, external bargaining, quality requirements and handover risk usually require professional judgement. A more reliable option is AI to analyse and match, professional rules and cost systems to calculate, and engineers to identify critical processes and anomalies.

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AI smart quote system and automatic quote

How can the AI automatic offer avoid low rates of Maori and wrong prices?

Prices, costs, discounts, minimum Maori, currencies, taxes, validity periods and approvals should be implemented by a definitive rule or authoritative system; AI is responsible only for understanding requests for quotations, matching schemes, explaining differences and generating drafts. Any below-threshold, data missing, costs expired, volume anomalies or special provisions should be suspended and entered into the authorized person’s approval.

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Where should the entry of the Enterprise AI Transformation begin?

Enterprise AI Transport should start with a real, high frequency, and result-checkable operational task, rather than first purchasing models or building large platforms. Record current processing, time-consuming, back-work, error consequences and manual liability, and select a scene where samples are available and can be manually used to cover the bottom.

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Your judgment is based on your actual situation.

The case is only a way to get the project back to your business.

Tell us what is appropriate, what is done in the first phase and what risks are involved in identifying current processes, systems and problems that are being addressed.

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