A
M
P
E
R
A
Client Context
AI-Powered Content Analytics & Knowledge Assistant for Global CPG Brand
1
Sector:
Consumer Packaged Goods – Snacks & Nutrition
2
Geography:
U.S., Europe
3
Engagement Type:
AI / LLM-based Knowledge Automation
4
Scope:
Product/ASIN insights from e-commerce listings & consumer reviews
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.
Our Apporach
1
Built a product intelligence graph using AI to map SKUs → ASINs → sellers → variants → reviews.
2
Delivered LLM-based insights assistant enabling search like: “Show all SKUs where reviews indicate taste-change complaints in last 60 days”
3
Automated detection of variant collision, pricing anomalies, unauthorized sellers, and counterfeit patterns.
4
Visual dashboards for brand, CX, and supply-chain teams.
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.</li
30+ years of Industry experience in delivering pioneering data and QA solutions.
