We revolutionized a leading health insurer’s Sales Pitch Creation process with AI-Driven Dual-Process System on AWS, Slashing Generation Time by 70% and Boosting Creative Output by 45%

CHALLENGE

Individual pitches pertaining to customer attributes and the products are manually combined to create the summarized output sales pitch by the customer. Key challenges faced during this process are:

• Comparing KPIs against competitors and adjusting pitch tones to suit diverse customer profiles manually is labor-intensive and time-consuming
• Current method of drafting pitches often doesn’t fully incorporate all relevant customer attributes and product preferences potentially missing key personalization opportunities
• Manual compilation of pitches increases the risk of errors, potentially impacting the quality and effectiveness of customer communications
• As the customer base grows and product offerings expand, this system also limits the company's ability to scale

Why were we brought in?

Ganit has made a significant dent in various industries using data science and analysis. Ganit partners with clients to translate their data into a tangible, insightful plan of action that delivers on a measurable impact to the clients’ topline & bottom-line growth.

With a strong Gen AI practice and a dedicated Gen AI Centre of Excellence (CoE), Ganit has advanced capabilities in building consumable Gen AI driven solutions for our customers. With almost 20 demos catering to different industry verticals and business functions, Ganit has a proven track of delivering customer delight through accelerated implementation.

Solution

Ganit developed an innovative, dual-process AI-driven sales pitch generation system, leveraging AWS services to revolutionize their customer engagement strategy

The solution encompasses two key processes:

• 1. Batch Processing: Leverages AWS API Gateway for secure input reception, triggering an AWS Lambda function to initiate processing after checking if user has uploaded input files in Amazon S3. Amazon EC2 instances perform large-scale processing using Amazon Bedrock for AI-powered pitch generation. The system generates a unique job ID, stores results in S3 in JSON format. Amazon EC2 further processes them and stores in Excel format for easy consumption.
• 2. Real-time Processing: Features a user-friendly interface where sales representatives can select specific parameters and parametric values. The system first queries on database containing pre-generated pitches from batch processing. If a matching pitch exists, it's instantly retrieved and presented to the user. The user even has an option to regenerate the sales pitch, if he wants an alternative output. For unique combinations or if sales pitch isn't pre-existing in database, the system makes an API call. Amazon Bedrock generates a fresh, tailored sales pitch on-demand and gives the output to user in excel format.

Features of the tool

• The AI-driven system seamlessly combines customer attributes and product details to create highly personalized sales pitches, significantly enhancing engagement and conversion potential
• With both batch and real-time processing capabilities, the solution offers unparalleled flexibility that can handle large-scale pitch generation for proactive planning while also providing instant, on-demand customized pitches