MailMentor | Devpost

Login screen for user
Ask ai to Simplify the mail
Ask AI about possible solutions for a particular client issue
Reply with AI generated draft

Inspiration

In a Customer relationship management team, everyone won't be well versed with the the services that the company is offering. A Llama2 model can be trained with company's previous CRM emails and can act as a mentor for new requests/queries form customers.

What it does

"MailMentor" is a cutting-edge email enhancement tool that seamlessly integrates with Nylas' email features. Its core functionalities include:

AI-Powered Email Analysis: When a user opens an email, "MailMentor" presents an "Analyse with AI" button. Clicking this button opens an input area where users can type questions about the email's content. Once a question is asked, the integrated AI model processes the query and provides insightful responses directly in the input box. Users can ask multiple queries to gain a comprehensive understanding of the email's content.
AI-Generated Email Replies: After reviewing the email and gathering insights, users have the option to request an AI-generated draft reply. The AI suggests a reply based on the email's context and user preferences. Users can then make edits to the suggested response to tailor it to their needs.
Effortless Email Communication: Once the user is satisfied with the AI-generated reply, they can seamlessly send the edited response directly from "MailMentor," streamlining the email communication process.

How can MailMentor be used

Enhanced Customer Support: Within a CRM team, not everyone may have an in-depth knowledge of all the services a company offers. "MailMentor" envisions the use of the Llama2 model, which can be trained on the company's historical CRM emails. This trained AI model can serve as a knowledgeable mentor for team members, helping them respond to new customer requests and queries more effectively.
Onboarding and Training: When new team members join the CRM department, they often face a steep learning curve to understand the company's offerings and effectively communicate with customers. "MailMentor" aims to bridge this gap by providing instant access to the collective knowledge embedded in past CRM emails. New team members can seek guidance from the AI model to respond to customer inquiries accurately and confidently.
Consistency and Expertise: Maintaining consistency and expertise in customer interactions is crucial for building trust and satisfaction. "MailMentor" ensures that all responses align with the company's standards and expertise, reducing the risk of misinformation and enhancing customer relationships.
Time Efficiency: CRM teams deal with a high volume of customer emails daily. "MailMentor" can significantly reduce response times by instantly providing relevant information and suggestions to team members, allowing them to address customer inquiries more efficiently.
Continuous Learning: "MailMentor" not only assists with immediate responses but also contributes to ongoing learning within the CRM team. Team members can learn from the AI's responses and improve their own knowledge base over time.
Scalability: As a company grows, so does its customer base and the volume of CRM emails. "MailMentor" scales effortlessly, ensuring that even as the workload increases, customer support remains efficient and effective.
Empowering Human Expertise: While AI plays a significant role in assisting CRM teams, it does not replace human expertise. Instead, it empowers team members to make more informed decisions and provide better customer service.

By leveraging the power of AI, "MailMentor" reimagines CRM operations, making them more efficient, consistent, and customer-centric. It is not just a tool for individual email enhancement but a strategic asset for companies looking to excel in customer relationship management.

How we built it

"MailMentor" was developed using a combination of technologies:

Nylas SDK and APIs: We leveraged Nylas' SDKs for Python to integrate seamlessly with email features.
Artificial Intelligence: We incorporated a state-of-the-art AI model Llama 2 capable of natural language understanding and generation to power the email analysis and reply generation available in HugginFace spaces.
User Interface: The user interface was designed using react framework by making some edits to the example code provided by Nylas in the documentation.

Challenges we ran into

While developing "MailMentor," we encountered several challenges:

AI Integration: Integrating the AI model seamlessly into the email client presented technical complexities. I tried running the model locally on my computer it was taking too long to respond. Thus decided to use a HuggingFace Space API.

Accomplishments that we're proud of

We take pride in the following accomplishments:

Successful integration of Nylas' powerful APIs and SDKs to enhance email features.
Integration of a sophisticated AI model capable of understanding and generating human-like responses.
Creation of a seamless user experience that simplifies email communication and boosts productivity.

What we learned

Throughout the development of "MailMentor," I gained valuable insights into:

The potential of AI-powered tools to revolutionize email communication.
The challenges and rewards of integrating Nylas APIs and SDKs into a cohesive application.

"MailMentor" represents our commitment to harnessing AI and Nylas' capabilities to empower individuals and organizations to communicate more effectively and efficiently, ultimately driving more engaging and productive experiences.