AI and Data Driven Business and Marketing Consultancy

MN 6078
Open Closing on March 4, 2025 / 4 spots left
London Metropolitan University
London, England, United Kingdom
Senior Lecturer
(1)
4
Timeline
  • March 6, 2025
    Experience start
  • May 12, 2025
    Experience end
Experience
1/5 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Market research Operations Project management Product or service launch Marketing strategy
Skills
business services business consulting business strategy marketing strategy
Learner goals and capabilities

Do you want to better understand your current customer needs and how to solve their problems? Would you like to find new ways to grow revenue or reach new segments? Is there a new business opportunity you would love to explore? Are you worried about trends that may threaten your core business, or possible competitive threats?

Let our business and marketing students at London Metropolitan University join your team as consultants! Our students are looking for a consultative placement experience with your organisation. They have excellent business skills and work closely with faculty who have entrepreneurial experience supporting companies through growth and innovation efforts.

Projects provide bottom-line benefits at no cost to the company, other than coordination and support of the student(s) whilst working with your organisation.

Learners

Learners
Graduate
Beginner levels
7 learners
Project
50 hours per learner
Educators assign learners to projects
Teams of 2
Expected outcomes and deliverables

Student teams can provide a business-style recorded video/audio embedded presentation (via PowerPoint) outlining key findings and actionable recommendations to the company. Their work and findings can be produced via several methods:

  • Primary data collection through interviews, focus-groups or surveys;
  • Analysis of company data (e.g., cost or revenue trends over time, or across segments; social media or other analytics data);
  • Gathering and analysis of secondary quantitative data (such as pricing, census or economic data) and qualitative information (such as industry and competitive analysis and commentary);
  • Data synthesis, analysis, and recommendation development including business model impacts, resource gap analysis and resource acquisition plans, and general implementation strategies.
Project timeline
  • March 6, 2025
    Experience start
  • May 12, 2025
    Experience end

Project Examples

Requirements

Our students are able to work with and help develop the organisation in the following ways. Please note our students are only able to consult on the management side of AI and would not be able to consult on the technical or software matters.


1. AI-Driven Consumer Behavior Analysis

📌 Project Idea: Understanding and investigate AI-powered analytics (e.g., sentiment analysis, predictive modeling) helps businesses tailor marketing campaigns and improve customer experience and provide recommendation. 

2. AI-Powered Personalization & Customer Engagement

📌 Project Idea: Assess how AI-driven recommendation engines (e.g., Netflix, Amazon) enhance personalization.


🎯 📌 Project Idea: AI's impact on targeted marketing, customer retention, and revenue generation and provide recommendation.

3. Chatbots & AI-Powered Customer Service Optimization

📌 Project Idea: Compare traditional customer service models with AI-driven chatbots like ChatGPT, Drift, or Zendesk AI.

4. Predictive AI in Digital Advertising Strategies

📌 Project Idea: Examine and understand how AI optimizes Google Ads, Facebook Ads, and programmatic advertising.

5. AI-Driven Decision-Making for Business Strategy

📌 Project Idea: Explore how AI assists in strategic planning, forecasting, and competitive analysis.


6. AI in Supply Chain & Inventory Management

📌 Project Idea: Evaluate how AI tools optimize logistics, demand forecasting, and supplier relationships.


Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
  • Q2 - Checkbox