PC EXPRESS APP
PROJECT: An inventory management and self-checkout system
CLIENT: PC Optimum
GROUP CONCEPTUAL PROJECT
TIMEFRAME: 1 Month
TOOLS: Photoshop, Figma, AI
GROUP CONCEPTUAL PROJECT
TIMEFRAME: 1 Month
TOOLS: Photoshop, Figma, AI
PROJECT AIM
- Develop a creative and innovative concept for a chosen brand. aimed at enhancing brand equity and financial value.
PROJECT OBJECTIVES
- Create a concept that transforms consumer interaction with the brand’s services.
- Develop a foresight vision that shapes the brand's future direction.
- Research and utilize current technologies to improve how customers interact with grocery shopping services, ensuring an efficient, safe, and user-friendly environment under normal and extreme conditions.
PLATFORM
- iOS
- Android
ROLES
- Project Manager
- Technology intergration Specialist
DELIVERABLES
- Enhanced Store Navigation System- Inventory Management System
-Data Points Ecosystem
- Seamless Checkout Solution
- Customer Experience Strategy
- UI Prototype
PROJECT FEATURES
Increased Checkout Efficiency:
- Streamlines payment processes to minimize customer wait times.
Seamless Store Navigation:
- Enhances in-store experience through efficient and intuitive navigation systems.
Product Stock Overviews:
- Provides real-time updates on inventory to prevent stock shortages and manage customer expectations.
Relevance in Emergency Scenarios:
- Ensures safety and minimizes human-to-human contact during pandemics or natural disasters.
- Supports adherence to health and safety precautions while maintaining service efficiency.
THE BRAND
Vision:
- Loblaws is focused on delivering a personalized and connected shopping experience by utilizing customer data.
Data Utilization:
- Customer interactions are analyzed within the store to understand individual and collective preferences and needs.
Customer Experience:
- Shopping is enhanced by tailoring experiences to customer interactions with favorite products and store locations.
-Seamless and personalized experiences contributes to each customer’s personal well-being.
Brand Integration:
- Strives to make Loblaws an integral part of customers' daily lives, promoting a harmonious relationship through a tailored shopping experience.
DATA POPINTS SYSTEM
Integration of Multiple Data Streams: Combines data from online behaviors, inventory systems, and real-time sensors to inform various systems.
Support for AI Personalization: Utilizes AI to tailor shopping experiences based on individual user data, enhancing customer satisfaction.
Optimization of Inventory Management: Employs data insights to streamline inventory levels, ensuring product availability.
Enhancement of Autonomous Systems: Supports the development and efficiency of autonomous service technologies, such as self-checkout and robotic assistance.
AI-Assisted Context-Aware Responses: Enables AI assistants to offer relevant, timely information and support to users based on real-time data.
Automation and Contactless Services: Facilitates automation tools and contactless interactions, crucial during health crises like COVID-19.
Refinement of Machine Learning Models: Continuously improves machine learning models, leading to more effective and adaptive technologies.
THE TECHNOLOGY - YOU ONLY LOOK ONCE(YOLO)
Real-Time Object Detection:
- YOLO identifies and classifies multiple objects in a single image frame, efficiently and accurately.
Enhanced Checkout Process:
- Automates item recognition at checkout, eliminating the need for manual scanning thus speeding up transactions.
Error Reduction and Speed:
- Reduces checkout errors and facilitates quicker, smoother customer transactions.
Support for Contactless Self-Checkout:
- Promotes safer, contactless interactions by minimizing the need for human contact, crucial during health crises.
Useful During High-Demand Periods:
- Optimizes checkout efficiency during peak shopping times, enhancing customer satisfaction.
Integration with Inventory Systems:
- Links with inventory management systems to provide real-time updates on stock levels, aiding in efficient stock management.
RESEARCH METHODOLOGY
Source Collection:
- Gathered comprehensive data from academic journals, industry reports, and technology reviews.
Content Analysis:
- Analyzed the effectiveness of object detection technologies, focusing on their performance in real-time applications.
Technology Comparison:
- Compared YOLO with other object detection methods to highlight its unique advantages in speed and accuracy for retail settings.
TECHNOLOGY APPLICATION
SMART ISLES (INVENTORY MANAGEMENT)
IoT Cameras Installation:
- Place IoT cameras on store shelves to monitor and analyze customer interactions with products in real time.
Data Integration:
- Feed the collected data into Loblaws' PC applications to refine shopping experience elements like pricing and packaging.
Inventory Sensing Shelves:
- Employ shelves that sense inventory levels and track shopper behaviors—how many pass by, shop, and engage with products.
Optimization of Product Placement:
- Use gathered insights to strategically position products for maximum engagement and sales.
Marketing Effectiveness Evaluation:
-Analyze data to assess marketing campaigns' impact and guide budget allocation for shopper marketing efforts.
ONE TIME SELF CHECKOUT
Advanced Object Detection:
- Implement YOLO technology at self-checkout stations to enable fast and accurate item scanning.
AI-Powered Efficiency:
- Utilize artificial intelligence through Digital Signal Processors (DSPs) to identify products and prices swiftly, minimizing the need for manual input.
Error Reduction:
- Reduce checkout errors typically caused by human mistakes, such as double scanning or incorrect item selection.
Streamlined Checkout Process:
- Achieve a quicker and more seamless checkout experience, allowing customers to efficiently complete their purchases without delays.
Enhanced Customer Convenience:
- Enable customers to enjoy a hassle-free shopping experience with reduced wait times and the ability to bypass traditional checkout procedures.