Quick Commerce with AI assistant - Case Study

Designing an AI-powered shopping assistant for quick commerce platforms involves a deep understanding of user behavior, real-time needs, contextual awareness, and trust in AI-driven decisions. Here's a breakdown of my case study.

User Research

What is quick commerce?

Quick commerce/business is something that a customer uses to place online orders for daily essentials and groceries. It ensures faster delivery and enhanced distribution through the dark store Business Model.

The model helps the business to place, pick, and pack things in no time with the help of micro warehouse houses. It not only helps the customers with door-to-door deliveries, but it also saves time by delivering things super fast. This brings consumers to such platforms and to use their services.

Dark stores are customer-free zones and have better control of inventory and manage larger order volumes. The dark stores are specifically designed for easy navigation, allowing packers to move as quickly as possible to pack the items in order.

Why do you need AI assistant?

Help users maximise each order and have increased savings and benefits while enjoying a smooth shopping experience, which makes them want to return to the application again. The goal is to create seamless shopping experience for the customers, which eventually makes them loyal customers to the business. This ultimately enhances the user experience, boosts the average order value, increases user engagement with the product and increases customer retention and decrease drop off rates.

Competitor Research / Market Analysis

In this stage, I did competitor research and went ahead with some of our direct competitors in India and abroad. I reviewed the competitor apps to understand their user flow, features, and usability and derived insights from them to see how we can improve the business with help of AI.

Define: Ideation & Conceptualization

Led creative workshops involving stakeholders and fellow designers to brainstorm innovative features that address the identified needs. Mapped out several user journey scenarios to visualize how users would interact with the proposed features, fostering a collaborative environment and promoting engagement through gamified learning experiences.tead, algorithms and logic-based solutions ought only provide humans with better insight so as to empower us to arrive at better solutions, faster.

User Journey Mapping

Using the collective insight gained from all market studies, I tried to bring it together into a User Journey Map. User Journey Map helped to understand the user at different levels in regards to their behaviour, thought process, feelings, and pain points.

Persona Identifications

After understanding the problem, Next step was to identify a target user examining the flow of quick commerce application which includes the home screen, search, category page, product listing page, product detail page and finally to the cart and redesign the flow while identifying the opportunities to make usability better for the people aged between 16-55 years which will lead to increased customer retention and boost average order value.

Potential opportunities for improvement:

A comprehensive study of existing quick commerce platforms highlights several potential areas for enhancing the current user experience. 
These are areas I feel could be improved by means of an AI agent.

Design Execution

Lo fi wireframes.

Based on the findings represented some of the screen visually on paper focusing mainly on the content placement and core functionality of the AI assistant.

Prototyping: Utilized advanced features in Figma to create interactive prototypes, enabling realistic user interactions. Conducted live prototype demonstrations to stakeholders, providing a tangible sense of the app's look and feel, as well as its functionality.

UI Design Revamp:

Crafted a visually appealing and accessible user interface, selecting a color palette that promotes concentration and creativity, alongside typography that improves readability across various devices. Integrated feedback from stakeholders to refine the UI, ensuring that it not only looks appealing but also aligns with educational goals.