Service area · Industry

IFA product data and PZN allocation support in Germany

Prepare and maintain IFA product data for the German pharmacy market: PZN allocation requests, pack information, pricing and trade data, publication dates and controlled product changes.

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IFA · PZN · product launch

IFA product data and PZN allocation support in Germany

Prepare and maintain IFA product data for the German pharmacy market: PZN allocation requests, pack information, pricing and trade data, publication dates and controlled product changes.

tiger.PHARMA structures product data, supports PZN allocation and IFA submissions, coordinates changes and checks adoption in pharmacy systems and digital sales channels. Operational data work, pricing logic and market access are managed together.

tiger.PHARMA Expertise

Topics we master

PZN allocation and new-product submission

Core data, regulatory attributes and logistics information are captured completely and submitted against the IFA editorial calendar.

  • Product and document check
  • PZN application and new-product submission
  • Scheduling around editorial deadlines
  • Coordination of IFA communication

Ongoing master-data maintenance

Price, pack, sales and storage status changes across the product life cycle. Updates are prepared and tracked under control.

  • Price and pack changes
  • Sales status and storage notes
  • Rx, OTC and other mandatory attributes
  • Validation before and after publication

Pricing and trade data

Manufacturer, purchase and retail prices plus trade and logistics parameters are configured consistently and aligned with positioning and distribution.

  • Structure of relevant price levels
  • Plausibility and competitor checks
  • Trade margins and logistics parameters
  • Data foundation for wholesale listing

Discoverability in pharmacy and e-pharmacy

Product names and search attributes are reviewed from the perspective of pharmacy workflow, merchandise systems and digital search to reduce confusion and findability issues.

  • Search logic in pharmacy systems
  • Digital keywords and shop data
  • Checks for confusion risk
  • Verification of data adoption after publication