challenge
Our client is a US-based provider of transportation solutions and 3PL services.
The company aimed to streamline manual request-for-proposal (RFP) management to thrive in a highly competitive market. This, however, was challenging due to complications in the existing quotation process:
- Price calculations involved multiple analytics tools and data sources, slowing down response times.
- Human-managed quoting and email communication reduced speed and accuracy, causing delays.
- Switching between multiple mailboxes put efficiency at risk and led to missed opportunities.
solution
Trinetix revolutionized the current RFP flow by implementing end-to-end automation and integrating multimodal AI, following four consecutive steps to streamline the process and enhance decision-making capabilities.
01. Data integrity and completeness
Creating a consolidated space for receiving and storing crucial decision-making information, minimizing the number of tools and data sources used.
02. AI-enhanced data analytics
Utilizing multimodal AI for the extraction and analysis of unstructured data coming in both text and image formats.
03. Data-driven pricing
Enhancing the system with automated pricing capabilities to accurately calculate transportation costs across various scenarios using data-driven insights.
04. Streamlined quoting and response processes
Integrating a generative AI model to create structured and relevant outputs and allow for instant quote generation available directly from the company’s mailboxes.
impact
Our deep understanding of our client's business and the strategic approach to innovation empowered our team to transform their mission-critical operations.
Several game-changing advantages delivered through AI enablement:
- Increasing response rate from 52% to 84%
- Improving the win ratio from 10.5% to 21%
- Achieving X20 faster response time, reducing it to just 2 minutes