H-A-R-N-S is an independent project. It focuses on creation and launch of a ‘Shopping Assistant App’ developed by the MS Project Management students of Bahria University Islamabad with the assistance of BUIC MarketingSkull Pvt ltd funding. For now, this application is designed to target Pakistan’s FMCG (Fast Moving Consumer Goods) retailers and will be expanded globally following its successful launch in Pakistan.
Vision: To make online shopping experience as convenient as possible.
Mission: Our IoT (Internet of Things) and AI (Artificial Intelligence) based software, and devices are designed to perform intelligently to deliver better user experience.
Objectives: Business and Technological
Freedom of doing grocery shopping smartly with full control.
Reach a larger audience for online shopping.
Create marketing intelligence for customized shopping experience.
Use the knowledge gained in improving business operations like resource optimization, supply chain planning, costs control and related.
Successfully create verticals within business around the concept.
Technological Objectives: Enhance customer experience by mitigating or transforming technical/technological errors.
This project includes development of a smart ecommerce based integrable application that will connect with all ecommerce shopping journey touch points. Development phases will include an MVP which will initially provide smaller customizations and machine learning. The same will be then updated by a version that learns to adapt, makes smart decisions, and provides larger decision-making insights to businesses. This project will be based on developing principles of data processing, variables analysis, real time decision making, and improvement over time. It will provide an interactive shopping experience to the consumers while learning from their shopping behaviors. It can help make smarter marketing decisions tailored to profiling and relevancy. It will provide intelligent insights to business owners to help plan procurement, warehousing, inventory, and logistics in an optimized manner. It should help reduce inventory redundancies by 80% provided we inject 10 years of recent data. It should help plan warehouse geological expansions most suited based on buying patterns and demand anticipations thus practically assuring success of an expansion plan. This system can also boost customer loyalty to a 90% mark improving constantly over time with the help of its customized shopping experience capabilities.
Scope ID in Phases
Android, iPhone, API
07/07/2022 – 09/09/2022
Web & landing pages
10/09/2022 – 25/09/2022
AWS (Amazon Web Services) Dedicated Servers
26/09/2022 – 29/09/2022
1-2 Intro Screens
How to use written and visual steps
30/09/2022 – 04/10/2022
GA4 (Google Analytics 4) & ACE (Adobe Cloud Experience) Integration and syncing system
05/10/2022 – 18/10/2022
Transparent Auto-Visual Order tracking system
19/10/2022 – 09/11/2022
Third Party Integrations
Payments, Chats, Delivery, IoT devices
10/11/2022 – 03/12/2022
Auto AWS (Amazon Web Services) Backup
07/07/2022 – 09/07/2022
SEO (Search Engine Optimization) Speed, Auto data screening system
07/07/2022 – 31/12/2022
Easy to use infrastructure with minimal steps
04/12/2022 – 31/12/2022
Total Project Duration:
5 months and 25 days (incl. holidays, weekends) with estimated initial investment of 1,407,500 and baseline cost of 90,5000
Now 84% of project-oriented organizations have already adopted formal IoT project implementation practices. Businesses offering top-notch service gain customers’ loyalty 77% more. Rising costs of conventional methods, COVID, changes in customer shopping behavior and many other factors have shifted the dynamics of shopping. Emerging use of technologies, data sciences, IOT (Internet of Things), and smartphone apps have made it convenient for businesses to learn with the help of digital channels and use it to improve and tailor shopping experiences best suited to customer needs requirements.
To solve this problem for both businesses and consumers, we designed this product that integrates with smart warehouses, retail shops, smartphones, and information systems to provide a customized and interactive shopping experience to the consumers while building actionable data to lower costs and maximize profits for the businesses.
Project Implementation Plan
Project Management Approach (scrum and Agile Approach with MVP -Minimum Viable Product)
Project management approach we will take for development of this project will be based on the iterative and incremental model based on situations of different project phases (as it’s a hybrid organizational structure). We will establish an MVP for basic data storage and integration. Further to that the adaptive methodology approach will seek feedback to develop the principles that the system will be based on. These principles will include data processing, decision making, and improving over time. It will be tested based on different scenarios before rolling out is made. QA (Quality Assurance) and Testing will be an integral part of the feedback loop and update roll-out.
Benefits & Measures
two – four Weeks data collection from the market (RFI)
Gather business requirements that need for a project. e.g., RFI (request for information), RFQ (request for quotation), RFP (request for proposal)
Reliance: Reduced customer service costs
Developer to develop the product
Four Weeks for data upload
Service and speed optimization
Quality engineer to ensure the product quality
One Week testing
Reduced travel costs: No crowded Lines or queues in stores to checkout
Financer/Accountant who manages and monitor the budget/cost need to develop the product
One to two Week changes insertion
Reduce the human efforts: Incremental sales resulting from enhanced promotional/salesperson effectiveness
Budget estimation 1,407,500
Two to three Weeks Deployment
Possibility to get overall information about all visitors and purchasers and use it for marketing