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Rootstack

enhanced

Intelligent Agent for Automated Tender Discovery

MNDA

Agency
Company Type
Austin, United States
Location
Project work
Engagement Model
1 - 5 people
Team Size
Less than 3 Months
Duration
$50K - $100K
Budget

About

Development of an intelligent tender agent to automate the search, filtering, and registration of tenders directly into the ERP for a company based in Panama.

Challenge, approach, and impact

Automated Tender Scraping

The agent continuously visits multiple public and private tender portals and extracts all available tender information.

Custom Search Criteria

The company configures the agent with tailored parameters such as relevant categories and keywords, project types of interest, and minimum or maximum budget thresholds to filter and identify tenders aligning with the company's target profile.

Language Model Processing

The model analyzes extracted tender content, determines if it meets predefined criteria, and structures the information into a standardized format for ERP ingestion.

How we built

ERP
AI & ML Solutions
Conversational AI
ChatGPT

Testimonials

Anonymous

Rootstack

Verified Testimonial

Rootstack provided an intelligent tender agent solution that automated tender discovery and registration, resulting in significant time savings and centralized opportunity management.

Team structure

Client team

Peter's avatar

Peter

Product Manager

Daily point of contact

The client stakeholders were working closely with the team at Rootstack

Agency team

1 x Production's avatar

1 x Production

Production

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