Multinational Consumer Goods Corporation

jidabyte helps consumer goods company build GenAI module.

Overview

This multinational consumer goods corporation is a global powerhouse in producing and distributing a wide range of everyday products, including personal care, household items, food, and health products. With operations in numerous countries, this corporation relies on a diverse portfolio of trusted brands to meet consumer needs. Focusing on innovation, sustainability, and market demand, it continuously enhances its product offerings and leverages strong distribution networks and strategic global partnerships to maintain a competitive edge.

Jidabyte helps build a Generative AI module using AIF 360 to produce unbiased market intelligence.

Key outcomes: Enhanced Market Insight, Cost Reduction and Risk Mitigation.

Challenge

Due to the dynamic nature of their business, the company faced several challenges in leveraging AI for growth and efficiency.

  • Ensuring Generative AI Accuracy: Verifying AI outputs with real-world data for reliability and precision.
  • Mitigating Bias: Avoiding biased datasets to prevent skewed market representations in AI models.
  • Integrating Human Expertise: Balancing AI with traditional methods to capture human insights effectively.

Solution

To address the company's challenges, we proposed the following solutions:

  • Enhanced AI Accuracy: Leveraged Apache Spark to validate AI insights with verified data, improving reliability and boosting market intelligence.
  • Bias Mitigation: Utilized IBM’s AI Fairness 360 to identify and mitigate biases in Generative AI models, ensuring fair market representations.
  • Integrated AI and Human Expertise: Deployed platforms like H2O.ai to combine Generative AI with human-in-the-loop, integrating traditional research for comprehensive market analysis.

Outcome

To address the company's challenges, we proposed the following solutions:

  • Richer Market Intelligence: Enhanced market intelligence using Generative AI for scenario simulations, data generation, and cross-cultural insights.
  • Cost-effective Research: Streamlined market research, quickly summarizing large data sets and cutting costs compared to traditional methods.
  • Risk Mitigation: AI simulations reduced market risks, lowering the likelihood of product failure and financial losses.