CasesChat with Shop Inventories
ALOE

Chat with Shop Inventories

AINo-code / Low-code
ClientALOE
WhenAug 2024 – Aug 2024
IndustryHospitality
Chat with Shop Inventories — desktop
Chat with Shop Inventories — mobile
<1
hour, deployed 2 AI chathots
The context

ALOE provides a SaaS solution for bike shops to manage their rental activities. These shops face several challenges:

Inefficiently recommending the most suitable bike models to customers based on factors like height, road terrain, and ride duration.

Presenting information in lengthy text on websites makes it difficult for customers to compare options and choose the right bike.

Most customers prefer visiting the shop in person or calling directly rather than renting online.

How I built it

Leveraged previous experience to quickly prompt and deploy two AI chatbots for bike shops in just one hour:

Trained the chatbots using product details from the shops' existing websites.

Chatbots interact with customers by asking about specific needs (e.g., height, terrain, duration) and recommending the most relevant products.

Provided direct links to product pages for easy access.

Built with
ChatbaseChatbase