
SUCCESS STORY · Professional Equipment Rental Company
Professional Equipment Rental Company|Industrialized RFP Response 100% Powered by Snowflake
For the tender department of a professional equipment rental company, KPC built a 100% Snowflake application: file analysis, catalog-based pricing, and technical proposal drafting. A 50% gain was measured across more than a hundred RFPs under real-world conditions.

The impact in numbers
50%
Time saved per tender under real-world conditions.
~500
Tenders processed per year
7
People in the tendering team
100%
Data, AI, and processing in Snowflake

The impact in numbers
50%
Time saved per tender under real-world conditions.
~500
Tenders processed per year
7
People in the tendering team
100%
Data, AI, and processing in Snowflake

The impact in numbers
50%
Time saved per tender under real-world conditions.
~500
Tenders processed per year
7
People in the tendering team
100%
Data, AI, and processing in Snowflake
RESULTS
What changes with this application

50% time saved per tender
Gain measured under real conditions, for a unit handling around 500 tenders per year.
What changes with this application

Three deliverables generated, validated by humans
PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.
What changes with this application

Autonomous business teams, traceable AI costs
Libraries, guidelines, templates, and the catalog are configured without a developer. AI consumption is tracked by tender and reconciled daily with the Snowflake invoice.
RESULTS
What changes with this application

50% time saved per tender
Gain measured under real conditions, for a unit handling around 500 tenders per year.
What changes with this application

Three deliverables generated, validated by humans
PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.
What changes with this application

Autonomous business teams, traceable AI costs
Libraries, guidelines, templates, and the catalog are configured without a developer. AI consumption is tracked by tender and reconciled daily with the Snowflake invoice.
RESULTS
What changes with this application

50% time saved per tender
Gain measured under real conditions, for a unit handling around 500 tenders per year.
What changes with this application

Three deliverables generated, validated by humans
PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.
What changes with this application

Autonomous business teams, traceable AI costs
Libraries, guidelines, templates, and the catalog are configured without a developer. AI consumption is tracked by tender and reconciled daily with the Snowflake invoice.

Background & core challenges
Industrialize the RFP response process without taking data out of Snowflake
European leader in professional equipment rental. Part of its business is conducted through public tenders.
A team of 7 people handling around 500 tenders per year
Responding to a public tender means reading consultation rules and dozens of documents, identifying disqualifying clauses, matching a client's price schedule with their own catalog, and then drafting a technical proposal aligned with the scoring grid.
Repetitive, time-consuming work that relies heavily on individual experience. The company wanted to industrialize the process without letting its data leave its Snowflake environment.

Analyzing voluminous files: consultation rules, documents, disqualifying clauses

Reconcile the customer price list with the internal catalog

Write a technical proposal aligned with the scoring grid

Keep data, AI, and processing within Snowflake, with no black box or third-party license

Background & core challenges
Industrialize the RFP response process without taking data out of Snowflake
European leader in professional equipment rental. Part of its business is conducted through public tenders.
A team of 7 people handling around 500 tenders per year
Responding to a public tender means reading consultation rules and dozens of documents, identifying disqualifying clauses, matching a client's price schedule with their own catalog, and then drafting a technical proposal aligned with the scoring grid.
Repetitive, time-consuming work that relies heavily on individual experience. The company wanted to industrialize the process without letting its data leave its Snowflake environment.

Analyzing voluminous files: consultation rules, documents, disqualifying clauses

Reconcile the customer price list with the internal catalog

Write a technical proposal aligned with the scoring grid

Keep data, AI, and processing within Snowflake, with no black box or third-party license

Background & core challenges
Industrialize the RFP response process without taking data out of Snowflake
European leader in professional equipment rental. Part of its business is conducted through public tenders.
A team of 7 people handling around 500 tenders per year
Responding to a public tender means reading consultation rules and dozens of documents, identifying disqualifying clauses, matching a client's price schedule with their own catalog, and then drafting a technical proposal aligned with the scoring grid.
Repetitive, time-consuming work that relies heavily on individual experience. The company wanted to industrialize the process without letting its data leave its Snowflake environment.

Analyzing voluminous files: consultation rules, documents, disqualifying clauses

Reconcile the customer price list with the internal catalog

Write a technical proposal aligned with the scoring grid

Keep data, AI, and processing within Snowflake, with no black box or third-party license
Our approach
An end-to-end processed request for proposal, human-validated at every step
A custom solution, 100% Snowflake: no black box, no third-party license, no opaque rules. The application covers the tender lot by lot.

Submission & Analysis
From consultation rules to bid review
The AI reads the consultation rules, pre-fills the file, and classifies documents lot by lot. It highlights points of attention, extracts the scoring grid, and exports a PowerPoint summary.

Cost estimate
The slip reconciled with the catalog
Each line of the schedule is matched with the internal catalog, providing a score and the three best candidates. The user selects, enters their prices, validates, and exports to Excel.

Technical proposal
A plan aligned with the grading rubric
Each criterion becomes a weighted chapter, written by AI using the internal library and tender documents, or adapted from an approved form. Word export customized with the company's branding.
Our approach
An end-to-end processed request for proposal, human-validated at every step
A custom solution, 100% Snowflake: no black box, no third-party license, no opaque rules. The application covers the tender lot by lot.

Submission & Analysis
From consultation rules to bid review
The AI reads the consultation rules, pre-fills the file, and classifies documents lot by lot. It highlights points of attention, extracts the scoring grid, and exports a PowerPoint summary.

Cost estimate
The slip reconciled with the catalog
Each line of the schedule is matched with the internal catalog, providing a score and the three best candidates. The user selects, enters their prices, validates, and exports to Excel.

Technical proposal
A plan aligned with the grading rubric
Each criterion becomes a weighted chapter, written by AI using the internal library and tender documents, or adapted from an approved form. Word export customized with the company's branding.
Our approach
An end-to-end processed request for proposal, human-validated at every step
A custom solution, 100% Snowflake: no black box, no third-party license, no opaque rules. The application covers the tender lot by lot.

Submission & Analysis
From consultation rules to bid review
The AI reads the consultation rules, pre-fills the file, and classifies documents lot by lot. It highlights points of attention, extracts the scoring grid, and exports a PowerPoint summary.

Cost estimate
The slip reconciled with the catalog
Each line of the schedule is matched with the internal catalog, providing a score and the three best candidates. The user selects, enters their prices, validates, and exports to Excel.

Technical proposal
A plan aligned with the grading rubric
Each criterion becomes a weighted chapter, written by AI using the internal library and tender documents, or adapted from an approved form. Word export customized with the company's branding.
Our clients
Our clients
They trust us.
They trust us.











Equipment rental
Professional Equipment Rental Company | Industrialized tender response 100% Snowflake
Gen AI
Snowflake
→

Transport & Logistics
Global shipping company — Data Science: from R&D to industrialization
AI
Data
→

Industry
Aqualung Group — Transforming the data platform
Snowflake
Data Platform
→

Business services
APAVE — Cross-office capacity planning
Pigment
EPM
→

Organic food distribution
Biocoop — Steering the forecasting processes with SAP BPC
SAP
Retail & Distribution
→

Heating, plumbing and renewable energy distribution
Richardson — Opening up access to data by moving to the cloud
Qlik
Snowflake
→

Equipment rental
Professional Equipment Rental Company | Industrialized tender response 100% Snowflake
Gen AI
Snowflake
→

Transport & Logistics
Global shipping company — Data Science: from R&D to industrialization
AI
Data
→

Industry
Aqualung Group — Transforming the data platform
Snowflake
Data Platform
→

Business services
APAVE — Cross-office capacity planning
Pigment
EPM
→

Organic food distribution
Biocoop — Steering the forecasting processes with SAP BPC
SAP
Retail & Distribution
→

Heating, plumbing and renewable energy distribution
Richardson — Opening up access to data by moving to the cloud
Qlik
Snowflake
→

Equipment rental
Professional Equipment Rental Company | Industrialized tender response 100% Snowflake
Gen AI
Snowflake
→

Transport & Logistics
Global shipping company — Data Science: from R&D to industrialization
AI
Data
→

Industry
Aqualung Group — Transforming the data platform
Snowflake
Data Platform
→

Business services
APAVE — Cross-office capacity planning
Pigment
EPM
→

Organic food distribution
Biocoop — Steering the forecasting processes with SAP BPC
SAP
Retail & Distribution
→

Heating, plumbing and renewable energy distribution
Richardson — Opening up access to data by moving to the cloud
Qlik
Snowflake
→

A SIMILAR PROJECT IN MIND?
Tenders to industrialize using your data?
Our Data & AI teams build business applications on Snowflake, from the incoming document to the validated deliverable.

A SIMILAR PROJECT IN MIND?
Tenders to industrialize using your data?
Our Data & AI teams build business applications on Snowflake, from the incoming document to the validated deliverable.

A SIMILAR PROJECT IN MIND?
Tenders to industrialize using your data?
Our Data & AI teams build business applications on Snowflake, from the incoming document to the validated deliverable.