Content Analytics & Knowledge Assistant

Content Analytics & Knowledge Assistant

Industry

Consumer Packaged Goods – Snacks & Nutrition

Industry

Consumer Packaged Goods – Snacks & Nutrition

Engagement Type

AI / LLM-based Knowledge Automation

Engagement Type

AI / LLM-based Knowledge Automation

Scope

Product/ASIN insights from e-commerce listings & consumer reviews

Scope

Product/ASIN insights from e-commerce listings & consumer reviews

Geography

U.S., Europe

Geography

U.S., Europe

Project overview

Project overview

AI-Powered Content Analytics & Knowledge Assistant for Global CPG Brand

AI-Powered Content Analytics & Knowledge Assistant for Global CPG Brand

Challenges

Challenges

  • Manual monitoring of 10,000+ SKUs across geographies and sellers was not scalable.

  • Duplicate ASINs, flavor and variant confusion, pack-size mismatches, and unauthorized sellers diluted brand equity.

  • Review mining for customer sentiment and product claims was time-consuming.

  • Manual monitoring of 10,000+ SKUs across geographies and sellers was not scalable.

  • Duplicate ASINs, flavor and variant confusion, pack-size mismatches, and unauthorized sellers diluted brand equity.

  • Review mining for customer sentiment and product claims was time-consuming.

Our Approach

Built a product intelligence graph using AI to map SKUs → ASINs → sellers → variants → reviews.

Delivered LLM-based insights assistant enabling search like: “Show all SKUs where reviews indicate taste-change complaints in last 60 days”

Automated detection of variant collision, pricing anomalies, unauthorized sellers, and counterfeit patterns.

Visual dashboards for brand, CX, and supply-chain teams.

Impact Delivered

Impact Delivered

  • Detected 34% of ASIN collisions causing review hijacking and product confusion.

  • Reduced brand-risk monitoring effort by 70% through automated review insights and alerts.

  • Enabled faster customer experience issue resolution with SKU-specific defect signals.

  • Strengthened retail execution with seller- and marketplace-level compliance tracking.

  • Detected 34% of ASIN collisions causing review hijacking and product confusion.

  • Reduced brand-risk monitoring effort by 70% through automated review insights and alerts.

  • Enabled faster customer experience issue resolution with SKU-specific defect signals.

  • Strengthened retail execution with seller- and marketplace-level compliance tracking.