Implementing an Order Forecasting and Auto Invoicing System in Odoo
Despite having a large data pool from sales operations, Project relied on manual methods for tracking sales trends and generating …
- Python
- Odoo
- PostgreSQL
Manufacturing
An AI-assisted quotation workflow built for an industrial equipment distributor, automating the flow from inbound customer inquiries and supplier RFQs to draft quotations in Odoo, while keeping key commercial decisions under human control.
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The client was managing customer inquiries, supplier communication, and quotation preparation primarily through email. The process required significant manual work to interpret inquiries, enter information into Odoo, prepare supplier RFQs, process partner responses, and compile customer quotations. We built and deployed an AI-assisted workflow integrated with Odoo to automate the repetitive parts of this process while keeping partner selection and final quotation approval with the client’s team.
Customer inquiries arrived by email and had to be manually read, interpreted, and entered into Odoo before the quotation process could begin.
Supplier and partner RFQs were prepared and sent manually, creating additional work for the team and slowing down the quotation cycle.
Partner quotations also arrived through email. Staff had to review the responses and manually transfer relevant pricing and product information back into Odoo.
The overall turnaround depended heavily on staff availability, particularly when multiple inquiries and supplier responses were being handled simultaneously.
Customer quotations were compiled manually, which made the process more time-consuming and created inconsistencies between quotations prepared by different team members.
Odoo was configured to receive customer inquiry emails directly. An AI parsing layer extracts relevant information from unstructured emails and converts it into structured data within Odoo.
The workflow matches requested products against the product catalog and applies the required business rules before generating and sending RFQs to the relevant partner network.
Incoming partner responses are processed by the AI layer, extracting relevant quotation information and bringing it back into Odoo in a structured format.
The quotation workflow applies product, pricing, discount, and VAT rules before preparing the customer quotation.
Partner shortlisting remains a deliberate manual step. The team retains control over which supplier offers should be used before the customer quotation is prepared.
Once the partner offers are shortlisted, the system compiles the selected information into a draft customer quotation in Odoo for final human review.
Customer inquiries and partner responses no longer need to be repeatedly retyped into Odoo, substantially reducing administrative effort.
The time required to move from a customer inquiry to partner RFQs became noticeably faster and less dependent on individual staff availability.
Using structured information from the workflow to prepare draft quotations improved consistency across the quotation process.
The team continues to make the important commercial decisions, including partner selection and final quotation approval.
Despite having a large data pool from sales operations, Project relied on manual methods for tracking sales trends and generating …
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