Store Layout Optimization

We have been serving customers for decades, and we would like to increase sales in our store. We believe that changing the layout of our shop could lead to more revenue per customer. We would like to collaborate with students to generate profitable layouts for our store. This will involve several different steps for the students, including: Familiarizing themselves with our products and services. Researching commonly used floor plans in stores. Considering factors such as traffic flow, customer behaviour, product placement, displays, and customer amenities. Creating a blueprint of a recommended store layout. Bonus steps in the process would also include: Recommending changes to improve our store’s accessibility.

Competitive Analysis

Our company has been serving thousands of customers for decades. We want to better understand how our target audience perceives our brand and competitors. This will help us develop clarity on our competitive advantages and optimize our marketing strategy. We would like to collaborate with students to conduct a competitive analysis of our business. This will involve several different steps for the students, including: Familiarizing themselves with our company, products, and target market. Identifying current and potential future competitors. Creating a matrix identifying features that are similar and different between companies. Summarizing our competitive advantages and disadvantages relative to the competition identified. Bonus steps in the process would also include: Recommending how our company can differentiate itself through products / services and messaging.

Digital Marketing Strategy

We are looking to develop a comprehensive digital marketing strategy that will effectively grow our brand and engage with our target market. Students will conduct market research, analyze existing digital marketing trends, and assess our current digital presence. The aim is to create a strategic plan that leverages various digital channels, optimizes our budget, and aligns with our company’s goals. We want students to help us develop a tailored digital marketing strategy that will increase our brand visibility and drive engagement within our target market. The strategy should take into account our specific industry dynamics, customer preferences, and competitor activities. Students will be expected to: Market Research and Analysis: Conduct thorough research to understand our target audience, including demographics, behaviors, and preferences. Analyze competitors’ digital marketing strategies and identify opportunities for differentiation. Evaluate current trends in digital marketing, including emerging channels and techniques, and recommend which ones we should focus on. Channel Strategy: Identify which social media platforms and digital channels (e.g., SEO, content marketing, email marketing, PPC, influencer marketing) would be most effective in reaching and engaging our target audience. Recommend a strategy for each selected channel, including content types, frequency, and tone of messaging. Budgeting and Resource Allocation: Propose an optimal budget allocation across different digital marketing channels, justifying the choices based on potential ROI and impact. Suggest how we can maximize our marketing budget, including cost-effective strategies and potential partnerships or collaborations. Messaging and Brand Positioning: Develop key messaging guidelines that align with our brand identity and resonate with our target audience. Create sample content (e.g., social media posts, email templates) that exemplifies the recommended tone and style. Recommend strategies for consistent brand messaging across all digital platforms. Performance Metrics: Suggest KPIs (Key Performance Indicators) to measure the success of the digital marketing strategy. Propose methods for ongoing monitoring and optimization of the strategy, including tools and reporting structures.

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.