Quotation App Workflow
Project context: This implementation is presented without identifying the organization. Additional client and sector detail will be included only when approved for publication.
Preparing a quotation required information to move through disconnected stages: supplier documents, pricing calculations, commercial adjustments, internal checks and final customer-facing output. Repetitive handling increased turnaround time and created avoidable risk around transcription, calculation consistency, version control and document quality.
The workflow had to preserve the detail and structure of technical supplier offers while applying internal commercial logic consistently, without hiding assumptions or removing human control from commercially sensitive decisions.
Designed an end-to-end quotation workflow that organizes source documents, maps line items into a consistent structure, applies defined cost and pricing inputs, and generates a standardized quotation for review. Source data remains separate from calculated values so commercial decisions stay visible and traceable.
Supplier quotation and project inputs → structured data extraction → item and pricing normalization → commercial calculation rules → controlled review → branded quotation output.
Consolidated a fragmented quotation process into one controlled workflow, reducing repeated data handling and improving consistency across calculation, review and presentation. Exact time savings, error reduction and quotation-volume metrics require a confirmed operating baseline.
Process analysis, workflow architecture, calculation design, automation development, output standardization and validation.
Workflow automation, Python, Excel, structured document processing, pricing logic, PDF and spreadsheet outputs
Application captures document the delivered interface. Quantified business outcomes remain limited to evidence already verified; identities and commercial baselines are added only when approved.
