Fleet Bidding Copilot
Find the right bids with SeekrFleet, a simple platform that uses AI to match government bids with your vehicle inventory to find business opportunities.
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Executive summary
Automotive suppliers lose valuable opportunities to inefficiency in fragmented, manual bidding processes. Tracking bids across multiple platforms, evaluating them by hand, and compiling proposals drains time and limits scalability. The Fleet Bidding Copilot transforms this process into an intelligent, automated workflow that discovers, scores, and prepares bids in minutes. Built on SeekrFlow’s agentic architecture and AI-Ready Data Engine, it analyzes bid data, prioritizes high-value opportunities, and generates complete, accurate proposals—helping suppliers respond faster, win more contracts, and reduce operational costs.
Problem
Automotive suppliers face a significant challenge in managing the complex and time-consuming process of bidding for contracts. The current landscape is fragmented and manual, leading to missed opportunities and inefficiencies.
Difficulty in managing bid sources
Bids are scattered across numerous platforms and formats, from government portals like GovSpend to static PDFs and emails, making it difficult to track all relevant opportunities.
Manual evaluation process
Evaluating each bid is a labor-intensive task. It requires personnel to manually sift through documents to determine if a bid is a good fit, a process that is slow, prone to errors, and difficult to scale.
Inaccurate and slow responses
Crafting a competitive and accurate bid requires real-time information about inventory, pricing, and capabilities. The manual process of gathering this information often leads to delays and inaccuracies in the final bid submission, risking the loss of the contract.
Solution
Seekr’s Fleet Bidding Copilot transforms the fragmented and manual bidding process into an intelligent, automated workflow. It ingests bids from various sources, scores them for potential value, and generates ready-to-use proposals. The system can:
Automatically find and categorize bids
From sources like GovSpend, classifying them as fleet, service, or parts opportunities
Score each bid on a scale of 0.0 to 1.0
Allowing your team to prioritize the most promising opportunities
Generate detailed bid proposals
With accurate pricing and specifications that can be downloaded as Word or PDF documents
Value
Increases the number of bids a team can respond to by automating the discovery and evaluation process
Improves win rates by creating more accurate, competitive, and timely proposals
Reduces operational costs by minimizing the manual effort required for bid management
Provides strategic insights into market trends and competitor bidding patterns
How it works
This solution uses SeekrFlow’s modular agent architecture:
Bid Scoring Agent: This is the core of the evaluation process. It uses a Large Language Model (LLM) to analyze the details of each bid, including the title, description, vehicle type, make, estimated value, quantity, and location. It then generates a score based on a weighted set of factors:
Priority makes
Bids for makes like Ford, Chevrolet, and GMC are given a higher score
Bid value
Higher-value bids receive a higher score
Quantity
Larger orders are prioritized with a higher score
Bid Creation Agent: Once a bid has been identified as a high-priority opportunity, this agent generates a detailed proposal. It pulls in relevant data, including pricing, specifications, and inventory levels, to create a comprehensive and accurate bid package.
Categorization and Base Agents: These agents handle the initial processing of bids, classifying them and preparing them for scoring and proposal generation.
The entire process is powered by the Kinley-API—a Python-based API that handles the data processing—and the kinley-web application, an Angular-based front-end that provides the user interface.
Ideal users
Sales and Business Development teams
Bid and Proposal Managers
Supply Chain and Inventory Managers
Executive leadership
Built on SeekrFlow
Kinley-API
The Python-based API that powers the data analysis and retrieval
Kinley-web
The Angular-based web application that provides the user interface for interacting with the system
AI-Ready Data Engine
For document chunking, indexing, and analysis
Agent Framework
For chain-of-thought reasoning and data retrieval
Where you can extend it
Fine-tune with proprietary data sources, such as historical win/loss data or customer relationship information
Add real-time data feeds from commodity markets or logistics providers
Integrate with other enterprise systems, such as a CRM or ERP, for a seamless workflow
Takeaway
This intelligent bidding system is designed to give automotive suppliers a competitive edge. By automating the most tedious parts of the bidding process, Kinley allows your team to focus on strategy and win more business.
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See it in action
See how this AI solution works for your team. Request a live walkthrough with one of our experts and explore how it can adapt to your unique workflows and data.
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