Website Development

We would like to work with students to develop a new website that is easy to maintain while providing an appealing interface for users. This can be achieved through common site building tools with HTML and Javascript This will involve several different steps for the students, including: Building a website, with our assistance in providing the content. Providing training on updating and maintaining the website. Bonus steps in the process would also include: Testing prototypes with customers and refining ideas with feedback.

Inbound Marketing Audit

The main goal for the project is to conduct a comprehensive audit of CaffeBerry.co's inbound marketing, including SEO analysis and positioning with respect to competitors. This will involve several different steps for the students, including: - Analyzing the current inbound marketing strategies and tactics employed by CaffeBerry.co. - Conducting a thorough SEO analysis to identify areas for improvement and optimization. - Researching and analyzing the positioning of CaffeBerry.co in comparison to its competitors in the health food and beverage industry. - Developing recommendations for enhancing the inbound marketing strategies and improving the positioning of CaffeBerry.co.

Data Analysis for Health Food Competitive Positioning

The main goal for the project is to conduct a comprehensive analysis of open data from Health Canada to determine the competitive positioning for the launch of CaffeBerry's new health food product. This will involve several different steps for the learners, including: - Gathering and analyzing data on similar health food products in the market. - Conducting a comparative analysis of CaffeBerry's product with existing health food options.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.