Addressing Sales Gap for Tea Brand with Data-Driven Insights

Background

A leading FMCG brand noticed a significant gap in its 100gm tea inventory, where distributor supply did not match NIQ consumer sales. This misalignment raised concerns about inefficient stock movement, potential high returns, and revenue leakage. To address this, the brand needed to uncover whether the issue stemmed from stock hoarding, distributor inefficiencies, or inaccurate market demand estimates

Solution

• Retailer Research: We conducted structured surveys, using both MCQs and open-ended questions, to gather deeper insights into inventory flow issues.
• AI-Powered NLP & LLM Models: Leveraged advanced AI tools to process multiple retailer feedback, identifying key trends and sentiment shifts across regions.
• Retailer Charchas: Held qualitative discussions to validate findings and provide additional context to the quantitative data.

Key Outcomes:

• Packaging Issue Identified: Research revealed that packaging flaws in the 100gm SKU were significantly hindering smooth inventory flow.
• Distribution Optimization: The brand worked closely with distributors to improve shipment packaging, reducing logistics inefficiencies.

Conclusion:

This data-driven approach resolved operational challenges, enhanced supply chain efficiency, reduced return rates, and strengthened retailer confidence in the brand.

Facing similar challenges?

Reach out to us at brands@kirana.club for solutions tailored to your needs.