Pricing Intelligence
Pricing Intelligence
Industry
Packaging – Glass, Plastic & Sustainable Packaging Solutions
Industry
Packaging – Glass, Plastic & Sustainable Packaging Solutions
Engagement Type
Competitive Intelligence & Pricing Analytics
Engagement Type
Competitive Intelligence & Pricing Analytics
Scope
Packaging catalog ( glass jars, bottles, closures & specialty SKUs )
Scope
Packaging catalog ( glass jars, bottles, closures & specialty SKUs )
Geography
North America & Europe
Geography
North America & Europe
Project overview
Project overview
Competitor Pricing Intelligence & Opportunity Analytics – Global Packaging Leader
Competitor Pricing Intelligence & Opportunity Analytics – Global Packaging Leader
Challenge
Challenge
Pricing teams lacked centralized visibility of competitor stock status, pricing bands, and attribute match levels across top rivals.
Inventory and pricing fluctuations were dynamic across size, capacity, color, finish, neck type, and MOQ, making manual benchmarking slow and error-prone.
Lack of structured product-to-product matching made it difficult to quantify:
Where Client had a competitive pricing edge
Where price corrections (up/down) would drive conversions
Which SKUs competitors were selling aggressively that TricorBraun was not covering
Pricing teams lacked centralized visibility of competitor stock status, pricing bands, and attribute match levels across top rivals.
Inventory and pricing fluctuations were dynamic across size, capacity, color, finish, neck type, and MOQ, making manual benchmarking slow and error-prone.
Lack of structured product-to-product matching made it difficult to quantify:
Where Client had a competitive pricing edge
Where price corrections (up/down) would drive conversions
Which SKUs competitors were selling aggressively that TricorBraun was not covering
Our Approach
Developed a Product Matching Engine using NLP and attribute scoring to correlate SKUs across capacity, dimensions, material, finish, and pack size across competitors.
Built a canonical product taxonomy to normalize names, attributes, and variations (e.g., amber glass dropper bottle 30ml 18-410).
Automated pricing intelligence scraping workflows across product catalogs, price lists, promotions, and stock-status pages.
Enabled weekly refresh cycles to give pricing teams near-real-time insights.
Impact Delivered
Impact Delivered
Identified high-value pricing opportunities for ~22% of the catalog, enabling margin-preserving competitive adjustment.
Uncovered 17% of competitor SKUs that matched Client SKUs but were priced 8–14% higher, driving targeted win-back promotions.
Revealed stock-out cycles of competitors, allowing priority-based campaign triggers for Sales during competitor shortages.
Improved quote conversion rate by 19% in target segments through optimized pricing guidance and proactive inventory planning.
Provided a repeatable competitor-intelligence engine to support product launches, portfolio expansion, and distributor negotiations.
Identified high-value pricing opportunities for ~22% of the catalog, enabling margin-preserving competitive adjustment.
Uncovered 17% of competitor SKUs that matched Client SKUs but were priced 8–14% higher, driving targeted win-back promotions.
Revealed stock-out cycles of competitors, allowing priority-based campaign triggers for Sales during competitor shortages.
Improved quote conversion rate by 19% in target segments through optimized pricing guidance and proactive inventory planning.
Provided a repeatable competitor-intelligence engine to support product launches, portfolio expansion, and distributor negotiations.
