Position promo products & apparel required an AI agent to assist sales representatives in responding to requests for tender (RFTs), aiming to reduce the labour required to write tender responses by 30%.
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Client
Position Promo Products & Apparel
Position is an independently owned provider of high-quality, responsibly sourced, and manufactured branded merchandise.
70% reduction in labour after fine-tuning & training
Significant reduction in tender response times
Testimonial
The AI solution has transformed our tender response process, reducing manual labour by up to 70% and significantly improving efficiency
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Nic Yeomans (Founder & Managing Director)
Project Details
Project Objectives
Client Goals: Position required an AI agent to assist sales representatives in responding to requests for tender (RFTs), aiming to reduce labour by 30% and improve response quality.
Our Mission: Build a multi-agent AI system capable of generating tender responses using the company’s marketing materials and previous responses.
Project Scope
AI System Development: Built a multi-agent AI system that autonomously generates tender responses.
Custom Framework: Developed a full-stack application to create a company profile from existing documents.
Contextual Responses: Leveraged company profiles and RFTs to generate detailed and accurate responses.
Timeline: 3 Months (including planning, development, and testing).
Challenges Faced
Complex Profiles: Creating accurate company profiles from diverse marketing and historical tender data.
Response Accuracy: Ensuring the AI-generated responses met industry standards and specific RFT requirements.
Solutions Provided
Multi-Agent AI: Developed a system that works collaboratively to generate responses.
Labour Efficiency: Initial implementation reduced tender writing labour by 50%, with later iterations achieving up to 70% reduction.
Product Spin-off: The project led to the creation of TenderCreator.ai, launching in December 2024, offering a SaaS solution for AI-generated tender responses.
