Retail Store
Management System
Case Study
About Project
Description
ShopSpot is a comprehensive digital solution designed to streamline and enhance the operations of retail stores. It serves as a centralized platform that facilitates efficient management and coordination of various activities within a retail store environment.
Design Process
Ideate & Research
Information Architecture
Design Guidelines
High fidelity Screens
Ideate & Research
Problem Statement
The current manual systems in our retail store operations lead to inefficiencies, errors, and suboptimal decision-making. These challenges hinder our ability to effectively manage inventory, track sales, streamline employee scheduling, and provide a seamless customer experience. We need a robust retail store management app that integrates all key operations, provides real-time data insights, and automates repetitive tasks to overcome these challenges.
Solution
We propose developing a comprehensive retail store management webapp that addresses the pain points faced in our operations. The Webapp will offer a centralized platform to streamline inventory management, sales tracking, employee scheduling, and customer relationship management.
Pain Points
- Managing inventory manually is time-consuming, prone to errors, and can lead to stockouts or overstocking
- Without a centralized system, tracking sales performance and analyzing data becomes challenging
- Without a CRM system, it’s difficult to track customer data, purchase history, and preferences
- Without real-time data and reporting capabilities, decision-making becomes challenging
- No standardize processes, providing customer history visibility, and enabling a seamless and personalized customer experience.
Design Key Value
AI Assistance
AI will handle FAQs, provide product information, assist with member order tracking, and address customer concerns helping improve customer satisfaction.
Intuitive Design
Creating a user-friendly and engaging experience, enabling user to accomplish tasks efficiently, discover features effortlessly, and feel confident in their app interactions .
Clean
Creating a clean and minimalist interface with usage of pastel color, black and white provide a high level of contrast, which can enhance readability and make important elements stand out.
Usability
Streamline operations, optimize inventory, track sales, manage employees, and enhance customer relationships
Information Architecture
Sitemap & Flow
Structuring and organizing the app’s content, features, and functionality in a way that enables intuitive navigation and efficient access to information.
Wireframes
Wireframes were simply created in low-fidelity to show layout and the flow of system. The simplicity of wireframe allows the idea to test quickly before moving to UI phase.
Design Guidelines
Colour & Typography
Brand Font
Inter – Regular . Medium . Semibold
- Aa
- Ba
- Cc
- Dd
- Ee
- Ff
- Gg
- Hh
- Ii
- Jj
- Kk
- Ll
- Mm
- Nn
- Oo
- Pp
- Rr
- Ss
- Tt
- Uu
- Vv
- Ww
- Xx
- Yy
- Zz
High Fidelity Screens
Visual Design
Authentication
Authentication Screens
Admin requires to sign in first before using the application and if they don’t have a store admin, manager account they are able to create one for Signing up
Dashboard
Admin Dashboard
The dashboard provides the most relevant and actionable information for effective retail store management. It provide users to personalize by selecting relevant metrics, choosing preferred visualizations, and arranging sections based on their specific needs. The design of dashboard is visually appealing, spot on readability due to contrast, intuitive and customizable.
Sales Overview
This section should display important sales metrics, such as daily, weekly, or monthly sales totals, sales trends, and comparisons with previous periods.
Inventory Management
This include metrics such as total inventory value, stock levels, top-selling products, low-stock alerts, and restocking requirements.
Store Operations
It focus on operational aspects of the store that include information on store hours, foot traffic analysis, peak hours, and average transaction time.
Financial Overview
Overview of the store’s financial performance which include metrics such as revenue, profit margins, expenses, and net income spend by VIP members, members and customers
Notification
Push Notifications
The admin can send push notification to user registered in app about the deals and discount according to the store.
Also AI can monitor customer actions and trigger push notifications based on specific events or triggers. For example, if a customer abandons their shopping cart, AI can automatically send a push notification reminding them about the items in their cart or offering a discount to encourage them to complete the purchase.
Message
Chat Assistance
ShopSpot is power by advanced ChatGPT which play a significant role in a retail store management app by providing intelligent and automated conversational capabilities.
- Powered by
ChatGPT 
Customer Support
This section should display important sales metrics, such as daily, weekly, or monthly sales totals, sales trends, and comparisons with previous periods.
Recommendations
This include metrics such as total inventory value, stock levels, top-selling products, low-stock alerts, and restocking requirements.
Inventory Management
It focus on operational aspects of the store that include information on store hours, foot traffic analysis, peak hours, and average transaction time.
Feedback and Surveys
Overview of the store’s financial performance which include metrics such as revenue, profit margins, expenses, and net income spend by VIP members, members and customers
Product
Product Menu
ShopSpot is powered with AI Product Inventory
Management where the algorithms can analyze historical sales data, demand patterns, and external factors to predict future demand accurately. This helps optimize inventory levels, reducing the risk of overstocking or stockouts.
It also has a manual input system where the store manager or admin can recheck product status or add product according to demands.
