Model implementation of a system that generates offers, valuations, contracts, attachments, PDF/DOCX, e-mail and sales history updates based on CRM, ERP data.
The model customer is a B2B company with a team of 20-150 traders, multiple products or services, several versions of price lists, CRM, ERP, Excel and the document library in SharePoint. Traders create daily offers, valuations, prices, range of works, schedules, contracts, attachments and price lists, although most of the data already exist in company systems.
The sales documents were created manually: the employee copied CRM data, checked current prices, improved discounts, filed a template in the Word, exported PDF, saved a file, sent an email and updated the status in CRM. As a result, there were different versions of documents, old prices, typos, lack of standardisation, difficult control of discounts and limited analytics of the effectiveness of offers.
In many B2B companies, most of the sales data is already in CRM, ERP, price lists and product catalogs. The problem begins when the salesperson continues to copy data, correct Word, export PDF, send email and only then update CRM. SmartCodeIT designs a process that shortens this path and leaves control where human decision is needed.
Indicative values. Actual effects depend on the sales process, number of products, data quality, templates, pricing rules, scope of integration and the way the team works.
Sales documents are created from data in CRM, ERP, Excel and SharePoint, but each department has its own templates, attachments and habits. As a result, the company sees different versions of documents, old prices, typos, lack of standardization and difficulty in analyzing which offers really work.
Offer automation makes sense when the process is repeatable and at the same time requires quality control: current customer data, approved templates, pricing rules and change history.
The salesperson makes an offer from previous files, CRM, price list and notes.
Company, contact person, scope and product data are copied between systems.
Offers are based on Excel files, which are not always synchronized with the current price list.
Discount rules, thresholds and exceptions are checked manually or depend on the merchant's memory.
Departments and salespeople use their own versions of offers, attachments and contracts.
The offer requires data finding, formatting, PDF export and manual updating of CRM.
It is not known who changed the price, scope, discount or conditions after the first version of the offer.
Offer number, version and date are assigned manually or according to local rules.
Ready PDFs are sent to e-mail, folder or computer, but they do not always return to CRM.
The company does not measure creation time, number of revisions, versions, templates and effectiveness of documents.
Each stage requires the salesperson's attention: copying data, checking the price list, submitting the document, saving the file, shipping, updating CRM and reminding about contact. It is not only a matter of time, but also of quality and consistency.
The system may run with different CRM and ERP. Downloads data, completes template, calculates prices, includes discounts, creates PDF or DOCX, saves document, prepares email, updates CRM and shows status in dashboard.
Sales document automation should have data validation, pricing rules, versioning, exception acceptances and full history in CRM.
A new inquiry or opportunity goes to CRM with customer data and business need.
Role: sales • status: startA new inquiry or opportunity goes to CRM with customer data and business need.
CRM provides the customer data and need, the template retrieves the service description, and the system generates a PDF with the scope.
The system assembles the scope of stages, schedule, end products and acceptance conditions.
The configurator calculates mandays, rates, external costs and budget variants.
The contract template completes the company details, SLA scope, response time and rates.
The system selects the plan, monthly scope, hour limit, allowances and development conditions.
The offer uses customer segment, volume, currency and purchase history.
The salesperson selects the product parameters, and the system selects components and attachments.
The system creates a document divided into departments, locations and scopes of work.
The generator retrieves active contract data and creates a scope or price change document.
Pricing Engine converts the currency, exchange rate and language version of the document.
The template generates Polish and English versions of the offer with the same scope.
After changing the price list, the system marks offers requiring conversion or acceptance.
The calculator shows the approximate value of recovered working time. It does not replace pre-implementation analysis, because the final effect depends on data, templates, integration and the number of exceptions.
Example value requiring confirmation during pre-implementation analysis. The result depends on the volume of offers, the quality of the CRM/ERP data, the number of products, the scope of templates, acceptance and the work process of merchants.
lead • deal • kontakt • status • historia
REST • Graph API • webhooki • walidacja
rules • validation • exceptions • acceptances
price lists • discounts • currencies • margin
DOCX • PDF • attachments • languages
e-mail • podpis • CRM update • Power BI
Before automation, you need to establish the source of truth for customers, products, prices, discounts, warehouse, trade terms and attachments. Without this, the system may replicate inconsistencies more quickly.
The system should clearly show who generated the document, what data was used, who approved the discount and which version was sent to the customer.
We map lead sources, offer types, roles, exceptions, current document creation path and places of manual work.
The result is a process map, a list of inputs, risks, and the scope of the first MVP.
We organize templates for offers, contracts, attachments, language versions, terms and sections depending on the product.
The final product is the document structure, dynamic fields and editing rules.
We connect CRM with the offer generator, retrieve customer, opportunity, contact, segment and sales history data.
The risk is incomplete data in CRM, so the step includes validation and missing messages.
We design price lists, discounts, thresholds, currencies, exceptions and manager approvals.
The result is a Pricing Engine or a controlled rules module that reduces manual counting.
We build the first flow: CRM, template, quote, PDF, document saving and history update.
MVP should handle the most common offer type, and mark more difficult cases as for verification.
We check the correctness of data, prices, discounts, numbering, versions, PDF, permissions and e-mails.
Tests also include exceptions, missing data, and offers requiring acceptance scenarios.
We launch the system for a selected group of traders, monitor errors and collect feedback.
Team training, work instructions and a clear process for reporting corrections are important.
We are adding additional document types, signature, customer portal, CPQ, BI and AI to the offer content.
Development should be based on data: creation time, number of corrections and offer effectiveness.
Each indicator is an example value requiring confirmation during pre-implementation analysis.
| KPIs | Before | After MVP | How to measure |
|---|---|---|---|
| Proposal preparation time | 35 minutes | 5 minutes | time measurement from start to ready PDF |
| Number of errors | post-shipment corrections | validation before generation | number of corrections and reshipments |
| Number of document versions | multiple local files | versioning in the system | number of versions and status of the document |
| Customer response time | dependent on merchant | more predictable | time from inquiry to shipment |
| Liczba ofert | calculated manually | report from CRM / dashboard | number of offers generated |
| Conversion | difficult to link to document | offer associated with the opportunity | winning odds by bid type |
| Use of templates | no control | standard templates | share of documents from approved template |
| Manual corrections | frequent corrections in Word | edit only controlled fields | number of manual changes after generation |
All indicators are indicative and require confirmation during pre-implementation analysis. The scope of implementation depends on CRM, ERP, product data, templates, pricing rules, acceptance and integration.
The first meeting allows you to determine which documents are worth automating first, what data is ready in CRM and where human control is needed.
Most often, but the range depends on a specific CRM, available API, data quality and working method of the team. The system can download client data, contacts, sales opportunities, status, segment and relationship history, and then save the generated offer, link to the document, version, date of shipment and next step of follow-up. Before pricing it is necessary to check whether CRM makes available API, webhooks, custom fields and the ability to save files or links. If CRM has limitations, you can use the hybrid model: some data download by API, part by export, and statuses keep in the dedicated panel. It is important to determine which fields are mandatory, who can generate the offer and when the document requires acceptance of the manager.
Yes. In many companies, the best intermediate step is to maintain DOCX templates that fill the data with CRM, ERP, price list and configurator. Thanks to this, the organization does not have to immediately abandon known documents, but can limit manual copying and formatting. However, you need to organize the template: dynamic fields, product sections, feet, attachments, language versions and commercial conditions. Word can remain a working format and PDF mail format. With legal documents, it is worth to specify which parts of the trader can edit and which are blocked or require approval. This approach allows you to start with MVP without building a full document editor.
Yes, but editing templates is worth controlling. In practice, the administrator panel works well or the established version process in which only selected people can change the content, layout, terms, price tables and attachments. Any change should have a date, author, status and information, from when it applies. Thus, traders use the current version, and the company can check which version of the document was sent to the client. If the templates are edited without control, the system will only accelerate duplication of inconsistencies. Therefore, before implementation it is worth to organize the document library, remove duplicates and indicate the template owners.
Yes. The system can generate offers, contracts and attachments in several languages if the company has approved templates and dictionaries of content. You can prepare separate language versions of documents or sections translated automatically with human control. With legal content, prices, conditions and liability we do not recommend full automation without review. The safest way is to prepare approved parts for the most common scenarios and use AI only as support for a sketch, summary or marketing variant. The language version should be written in the history of the offer, so that it is known exactly what has been sent to the customer.
Yes. PDF is the most common mailing format because it retains the document layout and is convenient for the client. The system can generate PDF directly from the template, from DOCX, from HTML or from dedicated template engine. The choice of technology depends on the requirements: typography quality, tables, attachments, page numbering, feet, watermarks, multilingualism and archiving. It is also worth keeping the document source version, for example DOCX or structural data, so that it can be reproduced what was sent. PDF should be stored in CRM, DMS or repository of documents together with the version, date and author.
Yes. The electronic signature can be added as the next step after the document is generated and internal acceptance. The system can transfer the PDF to the external signature platform, receive the status of the signature and save the information in CRM. The scope depends on the type of signature, legal requirements, supplier and process of the client. In the case of documents of financial or legal importance, it must be determined who initiates the signature, who receives the document, how the refusals are handled, expired links and versions after the correction. The signature should not be added as a decoration. It should be part of a controlled workflow with history and statuses.
Yes, but the ERP usually requires more accurate analysis than CRM. The ERP can be a source of products, states, prices, contractors, payment terms, purchase history and discounts. You need to check APIs, permissions, limits, data format and which data are superior. If prices in the ERP differ from Excel or CRM, automation should first show conflict and not generate a document from an accidental source. With larger implementations, it is worth building an intermediate layer that normalizes data and relieves the ERP system.
Versioning should include the offer number, version number, author, generation date, status, used template, input data and change history. If the offer is corrected after a conversation with the client, the system should create another version and not overwrite the previous version without trace. It is important for controlling negotiations, discounts, conditions and liability. In CRM it is worth to save a link to the current version, but also to enable the reproduction of older documents. When offers with many acceptances, versioning helps determine which version has been approved and sent. Without this automation can create documents faster but still not give control.
Maybe, but the range of editing should be consciously designed. In many companies, the trader should be able to change the description of the customer's needs, the variant of the offer, commentary, expiration date or selected items. However, he should not freely change the legal sections, discount policy, numbering, formal data or annexes required by the process. The best approach is to edit the controlled fields and, for exceptions, the status for acceptance. Thus, the system does not block sales, but still protects the standard of the document. The history of changes should show which fields were edited manually and who approved the exception.
Security includes roles, permissions, login, access control to customers, offers, price lists, templates and attachments. The trader should only see the data to which he has permissions and the manager should have a view of acceptance and reports. Documents should be stored in a controlled place, with version history and logs. Implementation should include encrypted transmission, backup, GDPR, DEV/TEST/PROD environment, and the procedure for deleting or archiving data. If the system uses AI to the content, you must add the Guardrails and clearly indicate which parts require a person before shipment.
The local option makes sense when a company has special security requirements, its own infrastructure or restrictions on commercial data. However, it requires the maintenance of servers, backups, monitoring, updates and access to integration. The cloud option is usually faster to run and easier to maintain, but the legal requirements and security policy need to be checked. The decision should be made after data analysis, source systems, users and how critical the offer generator for the sales process is.
ROI is best calculated based on the time of preparation of the offer, the number of offers per month, the cost of man-hours, the number of corrections, the response time of the customer and the value of the price errors. First, we measure the current process: how much time it takes to prepare the document manually, how many times the offer returns to the amendment, how much time it takes to update CRM and how many exceptions it takes to manage. Only then we compare the result after MVP. Do not assume a return in advance. Automation can recover time and improve control, but the effect depends on the quality of the data, discipline of the team, integration and number of repetitive documents.
Yes and usually this is the best approach. The first stage can include one type of offer, one template, basic CRM data, simple price list and PDF generation. After the tests you can add DOCX, ERP, discounts, currencies, workflow acceptance, electronic signature, client portal and dashboard effectiveness. The step-by-step implementation reduces risk because the team sees the working process and can indicate real exceptions. The attempt to build all documents at once usually extends the project and makes it difficult to receive. Better start with the document with the largest volume and the smallest number of exceptions.
Maintenance includes updating templates, price lists, discount rules, CRM/ERP integration, permissions, logs and error monitoring. After implementation, new types of offers, product changes, new conditions, content adjustments and reporting needs will appear. Therefore, the system should have the owner on the company's side and a clear process of reporting changes. Technically, it is worth monitoring errors generation PDF, missing fields, API problems and failed shipment.
Time depends on the number of documents, CRM quality, availability of APIs, price rules, ERP integration, acceptance requirements and range of dashboards. Simple MVP with one type of offer and basic PDF can be much shorter than a system including multiple templates, currencies, signature, CPQ, ERP, several languages and client portal. The safest way to start is to analyze the process and select the first document for automation. After MVP you can only plan more templates.
SmartCodeIT can help you design your process, prepare MVP and implement an application tailored to your organization. We start with a short conversation about data, tools, exceptions and business purpose.