AI/LLM SALES EMAIL AUTO-RESPONSE SOLUTION

The project:

The AI Sales Email Auto-Response Solution, or “Leo — Leobit AI,” automates responding to incoming sales emails and website form submissions using GPT technology.

It filters and scores leads before generating accurate and personalized responses within minutes, freeing time for sales representatives and ensuring prompt engagement with potential clients.

The customer:

Leobit is a full-cycle .NET, AI, and web software development company with a representative office in Austin, TX (USA), and development centers in Lviv (Ukraine), Tallinn (Estonia), and Krakow (Poland). The company specializes in custom software development, focusing on .NET, AI, LLMs, Angular, iOS, Android, Ruby, PHP, React, and a comprehensive range of other technologies from Microsoft, web and mobile stacks.

Business challenge:

In the IT services industry, inbound leads often come from prospective clients who are already familiar with a company's brand or capabilities. However, responding to these leads promptly and efficiently while ensuring personalized and accurate messaging can be challenging. Leobit required a solution to automatically identify relevant leads, filter out spam, and respond with contextually accurate and compelling emails. 

Technology solutions:

 - High accuracy when building custom pre-trained corporate model with Azure OpenAI Service & Google Gemini

 - Seamless integration for PoC development using Google Apps Script & Sheets

 - Improved workflow logic with C# and Azure Functions

Value delivered:

 - Increased lead conversion

 - Immediate relevant responses. Automated, personalized responses delivered within minutes

 - Reduced manual workload. Sales representatives can now focus more on high-priority tasks with a significant reduction in manual email handling

 - Enhanced lead scoring accuracy. Improved prioritization of high-potential leads

 - Scheduled calls. Customers began scheduling calls directly through AI-generated responses.

 - Positive customer feedback. 

Technologies: Google Apps Script, OpenAI GPT-4, Google Gemini, Azure OpenAI Service, C#, Angular, .NET Core.