E-commerce Logistics Optimization Strategy

GigEfx Labs is seeking to enhance its e-commerce operations by developing a comprehensive logistics strategy. The primary goal is to streamline sourcing, transportation, and warehousing processes to improve efficiency and reduce costs. This project will require learners to analyze current logistics practices, identify bottlenecks, and propose innovative solutions tailored to the specific needs of an e-commerce business. By applying classroom knowledge in supply chain management, students will explore various logistics models and technologies that can be integrated into GigEfx Labs' operations. The project will focus on creating a cohesive strategy that aligns with the company's growth objectives while ensuring timely delivery and customer satisfaction. Key tasks include evaluating supplier networks, optimizing transportation routes, and designing scalable warehousing solutions.

Data Visualization for Business Insights

Ptarium is seeking to enhance its ability to communicate business challenges through effective data visualization. The project involves using data extraction, transformation, and preparation techniques to convert raw data into meaningful insights. The goal is to create visual tools that can clearly convey complex business issues to stakeholders. This project will allow learners to apply their knowledge of data processing and visualization tools, such as Python, R, or Tableau, to real-world business scenarios. The tasks include identifying key data sources, cleaning and preparing data, and designing interactive dashboards or visual reports. The project aims to improve decision-making processes by presenting data in an accessible and understandable format.

AI-Powered E-Supermarket Platform for Local Vendors

GigEfx Labs aims to empower small-time local vendors by developing an AI/ML-powered commodity market integrated into their e-supermarket platform. The project seeks to create a user-friendly digital marketplace where local vendors can easily list and sell their products. The platform will leverage AI/ML algorithms to optimize product listings, enhance search functionality, and provide personalized recommendations to users. This initiative will help local vendors reach a broader audience and increase their sales potential. The project will focus on creating a seamless vendor onboarding process, ensuring data privacy, and maintaining a secure transaction environment. By applying classroom knowledge of AI/ML and e-commerce systems, learners will contribute to a meaningful project that supports local economies.

Doekon MVP and Technical Documentation Development

GigEfx Laboratories is seeking to develop a low fidelity minimum viable product (MVP) for Doekon, an AI-enabled patient diagnostic application. This innovative mobile solution aims to revolutionize healthcare delivery by facilitating in-home treatment and connecting patients with medical specialist based on the app's recommendations. The project involves creating ancillary technical documentation to support the development and future iterations of the application. The goal is to provide a foundational prototype that demonstrates the core functionalities of Doekon, such as patient diagnostics and doctor-patient connectivity, while ensuring that the technical documentation is comprehensive and user-friendly. This project will allow learners to apply their knowledge of mobile application development, AI integration, and technical writing, providing a practical experience in the healthcare technology sector.