Table of Contents
GrabBuddy is a solution project for UMHackathon 2025 by Team 418, it is a platform to further empower entrepreneurs working with grab by leveraging Generative AI to create smart, intuitive chat-based assistants. These AI-driven interfaces allow for actionable insights and proactive guidance directly to merchants, enabling better business decisions and streamlined operations.
The goal is to develop an intelligent, chat-based AI assistant that proactively provides merchant-partners with valuable insights, personalized guidance, and operational alerts.
The data used in this project can be found here.
Some of the data were provided by the hosts of UMHackathon, while some were generated using AI.
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Customer Feedback Personalization
Strategy: Analyze recurring themes in reviews to segment customers by satisfaction level, preferences, and complaints.
Action: Automatically customize promotions or responses (e.g., vouchers for those who complain about packaging or delays).
Outcome: Builds customer trust and shows responsiveness to feedback.
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Dynamic Offer Personalization
Strategy: Identify best-selling and underperforming items by customer segment and time of day/week.
Action: Personalize homepage layouts, upsell combos, or push notifications based on trending products for each user.
Outcome: Boosts sales through timely, relevant product placements.
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Smart Bundle Customization
Strategy: Use product list insights to tailor bundle deals based on frequently purchased items.
Action: Offer auto-generated bundles (e.g., “Your usual lunchtime combo”) or recommend missing items in a customer's cart.
Outcome: Increases basket size and inventory turnover.
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Purchase History Personalization
Strategy: Convert past receipts into customer profiles (e.g., frequency, spend level, product categories).
Action: Enable merchants to offer loyalty perks (e.g., “5th order discount”) or tailored re-order suggestions.
Outcome: Encourages repeat orders and builds long-term loyalty.
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Multilingual Support
Strategy: Automatically localize communication (promotions, review replies, chat support) to the customer’s preferred language.
Outcome: Improves accessibility and engagement for diverse customer bases.
CLICK ME FOR THE FIGMA PROTOTYPE
Client
Server
Database
This repository includes both the codebase for the frontend and the backend, follow the steps mentioned below to run the code:
CLICK HERE FOR THE SETUP STEPS FOR FRONTEND
CLICK HERE FOR THE SETUP STEPS FOR BACKEND
Team 418 members:
- Justin Yong Wenn Weii - Product Manager
- William Law Hong Waye (Spimy) - Tech Lead
- Alex Chee Kai Hong - AI Engineer
- Joshua Edwin Rene Bonham - UI Designer
Teamwork makes the dream work
The name 418 refers to this easter egg.