In this webinar you will learn more about AI’s role in managing product data and the benefits of buying or building your own software solutions.

COMMON CHALLENGES WITH PRODUCT DATA

  • Length of time it takes to get products on websites with accurate attributes-still mostly manual and time-consuming
  • Product lifecycle timeline driving the need to assign attributes during development, elevating the likelihood of errors as products evolve
  • Multi-channel and 3rd party distribution with disparate data sources causing inconsistency and broken customer experiences
  • Lack of optimized SEO and new Generative Engine Optimization attribute assignments

CONSIDERATIONS WHEN DECIDING WHETHER TO BUILD OR BUY PRODUCT DATA
SOLUTIONS

  • Building solutions in-house requires clarity of goals to avoid over-complication
  • Consider the upfront and hidden costs of building solutions with talent needs and maintenance/upgrades
  • Need to develop a consistent process cross-functionally with governance
  • Include internal systems/software build as part of the vendor selection process for proper evaluation
  • Note that buying solutions comes with shared/community learnings, roadmap plan and automatic updates for best-in- class offerings

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