Introduction:

Our client is a B2B e-commerce platform operating in several African countries, including Kenya, Uganda, Tanzania, and Nigeria. They specialize in providing automation solutions to informal retail businesses. With a vast amount of data at their disposal, including information from over 200,000 Dukas (informal retail shops), over 200 SKUs, and collaboration with more than 50 major suppliers, the client recognized the need to extract and analyze this data to improve their business decision-making process. They sought a reliable and experienced technology partner with deep expertise in AI and data analytics, particularly within the African market.

Project Challenges:

The primary challenge faced by the client was the aggregation of numerous data points and extracting relevant information for analysis. This task involved identifying initial business cases that required prioritization, such as Dynamic Pricing, Routing, and Churn Management. To tackle these challenges effectively, the client required a comprehensive AI and data analytics framework that could provide insights for business decisions and future campaigns.

Project Team:

To address the client’s requirements, our consulting team assembled a capable and diverse team, including the following members:

  1. Project Managers: 2
  2. Data Scientists: 2
  3. Business Managers: 4

Project Approach:

We followed a systematic approach to meet the client’s needs and achieve the desired outcomes:

  1. Initial Use Case Development: We collaborated with the client to create a comprehensive list of potential use cases driven by data analysis.
  2. Utilization of Data and AI Framework: We employed an AI and data analytics framework to prioritize the use cases by conducting a thorough cost-benefit analysis and assessing their potential business impact.
  3. AI Model Development: Our team developed an AI model tailored to analyze the available data and identify potential interventions that could drive positive outcomes.
  4. Experimentation and Campaigns: Leveraging the insights gained from data analysis, we ran experiments and campaigns to capitalize on the identified opportunities.
  5. Increased Efficiency and Revenue: Through the implementation of data-driven strategies, our collaboration with the client resulted in a 40% improvement in business efficiency and a 15% increase in revenue.

Conclusion:

By utilizing our data analytics and AI expertise, we enabled the client to extract valuable insights from their vast data repository. The systematic identification of use cases, prioritization, and proof of concept determination paved the way for informed business decisions and successful campaigns. Our collaboration not only enhanced the client’s operational efficiency but also significantly boosted their revenue. We are proud to have served as a reliable technology partner in the client’s journey towards data-driven growth in the African B2B e-commerce market.