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.

Download Case Study

Download Case Study

Download Case Study