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AI based lead finder

Trucking Marketing

INDUSTRY

Marketing

Type

Business Application

Overview & Challenges

Our client, a law firm specializing in trucking accident cases, faced a time-consuming and manual process for identifying potential new clients. This involved frequently searching Google for new accidents, analyzing the information, and determining if it was a lead worth pursuing. The client sought to automate this process to make it more efficient and less labor-intensive.

Our Solution

We designed and developed a web portal that allowed the client to quickly view new trucking accidents appearing on Google. The solution automated data collection using a web scraper that continuously searched for new articles. Once new articles were found, AI was used to categorize and capture key points of interest from the accidents. This included extracting information about the accident, the parties involved, media coverage, conflicting information, and fault assessment, enabling the client to quickly analyze and determine the viability of the lead.
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Key Features and Benefits

Client Portal:

Provided a centralized interface for the client to view and manage potential leads from new trucking accidents.

Triage System for New Found Accidents:

Automated the triage process, allowing the client to quickly assess the viability of leads.

Automated Web Scraping:

Continuously searched Google for new articles related to trucking accidents, eliminating the need for manual searches.

AI-Based Classification and Insights:

Used AI to categorize accidents and extract critical information, making the analysis faster and more accurate.

User and Role Management:

Ensured secure access and management of the portal by defining user roles and permissions.

Technologies Used

React Native

Node JS

My SQL

AWS

Open AI

Implementation & Results

Our team leveraged advanced technologies to build a scalable and efficient web portal tailored to the client’s needs. The solution automated the process of finding and analyzing potential leads, significantly reducing the manual workload and increasing efficiency.

Impact

Operational Efficiency:

Streamlined the process of identifying and analyzing new leads, freeing up valuable time for the client to focus on core activities.

Lead Quality:

Improved the accuracy and speed of lead identification and assessment, allowing the client to pursue higher-quality leads.

Scalability:

Provided a scalable solution capable of handling increasing volumes of data and growing with the client’s business.

Conclusion

The project successfully automated the lead identification and analysis process for the client, integrating AI to enhance efficiency and effectiveness, and allowing the law firm to focus on pursuing valuable leads.
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in Software Business

10+ years

Serving Clients

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Calnetic Inc.

430 404 6th Av Sw, Calgary AB, Canada,T2P OR9 +1-844-234-6756 | info@calnetic.com

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