Skip to content
AI ChatBot(NUEVERA INFOTECH)

AI ChatBot(NUEVERA INFOTECH)

Our AI bot is a dual-function personal advisor and company ambassador. Seamlessly navigates digital platforms, understands content, and guides users to informed decisions for successful transactions.

Created on 4th February 2024

AI ChatBot(NUEVERA INFOTECH)

AI ChatBot(NUEVERA INFOTECH)

Our AI bot is a dual-function personal advisor and company ambassador. Seamlessly navigates digital platforms, understands content, and guides users to informed decisions for successful transactions.

The problem AI ChatBot(NUEVERA INFOTECH) solves

The AI bot addresses the challenge of enhancing digital customer experiences and boosting sales by seamlessly integrating advanced functionalities. By excelling in intelligent content navigation, the bot efficiently parses and comprehends intricate details on the company's website or app, presenting users with a wealth of information about products and support materials. Through personalized user interaction, creating a tailored experience that fosters engagement. The guided decision-making feature assists users in navigating complex decision processes by offering relevant information and suggestions aligned with their unique needs and interests. Crucially, the bot employs sales conversion strategies to organically guide discussions towards converting interest into sales, promoting products or services in a contextually appropriate manner. The learning and evolution aspect ensures continuous improvement, allowing the bot to refine its approach to customer service and sales techniques with each interaction. Overall, this AI solution revolutionizes the customer journey, making it more informative, personalized, and conducive to efficient sales transactions, thereby setting new standards in automated customer service and driving business success.

Challenges we ran into

1). Choosing between streamlit and gradio for the front end - we first started off with streamlit bit encountered a lot of errors and then shifted to gradio which worked well.

2). Choosing Large language models acoording to our requirements

3). Once the large lang model was selected we faced issues because the model started to hallucinate and after a lot of pre prompts the model started behaving better.

Discussion

Builders also viewed

See more projects on Devfolio