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SUCCESS STORY · Professional Equipment Rental Company

Professional Equipment Rental Company | Industrialized Response to RFPs on Snowflake

For the tender department of a professional equipment rental company, KPC built AO Intelligence, a 100% Snowflake application: tender document analysis, catalog-based pricing schedule calculation, and technical proposal drafting. 50% time saved per tender, measured in a POC.

Snowflake

Gen AI

Data Products

Data

Cortex Code

The impact in numbers

50%

Time saved per tender (measured in POC)

~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 (measured in POC)

~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 (measured in POC)

~500

Tenders processed per year

7

People in the tendering team

100%

Data, AI, and processing in Snowflake

RESULTS

What AO Intelligence Changes

50% time saved per tender

Gain measured during the POC, for a team handling approximately 500 calls for tenders per year.

What AO Intelligence Changes

Three deliverables generated, validated by humans

PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.

What AO Intelligence Changes

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 AO Intelligence Changes

50% time saved per tender

Gain measured during the POC, for a team handling approximately 500 calls for tenders per year.

What AO Intelligence Changes

Three deliverables generated, validated by humans

PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.

What AO Intelligence Changes

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 AO Intelligence Changes

50% time saved per tender

Gain measured during the POC, for a team handling approximately 500 calls for tenders per year.

What AO Intelligence Changes

Three deliverables generated, validated by humans

PowerPoint executive summary for the bid review, Excel pricing schedule, Word technical proposal.

What AO Intelligence Changes

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

This professional equipment rental company equips construction and civil engineering firms. Part of its business comes through public tenders.

A team of 7 people handling around 500 calls for tenders per year

Responding to a public tender means reading consultation rules and dozens of documents, identifying disqualifying clauses, matching a client price schedule against its own catalog, and then drafting a technical proposal aligned with the scoring rubric.

Repetitive, time-consuming work that relied heavily on individual experience. The company wanted to streamline the entire process without moving its data outside of 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

This professional equipment rental company equips construction and civil engineering firms. Part of its business comes through public tenders.

A team of 7 people handling around 500 calls for tenders per year

Repetitive, time-consuming work that relied heavily on individual experience. The company wanted to streamline the entire process without moving its data outside of 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

This professional equipment rental company equips construction and civil engineering firms. Part of its business comes through public tenders.

A team of 7 people handling around 500 calls for tenders per year

Repetitive, time-consuming work that relied heavily on individual experience. The company wanted to streamline the entire process without moving its data outside of 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.

Snowflake

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.

Catalog matching

Export 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.

Export to Word

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.

Snowflake

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.

Catalog matching

Export 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.

Export to Word

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.

Snowflake

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.

Catalog matching

Export 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.

Export to Word