Implementation and change management challenges Customers sometimes report that initial implementation can be lengthy and resource-intensive.
Pricing and total cost of ownership Some reviewers mention that licensing/implementation costs can be significant, especially for large, multi-region deployments.
Customization complexity and performance trade-offs While customization is a strength, over-customization can lead to complexity, longer rollout times, and potential required tuning.
Data migration and export concerns Enterprises want clear data export capabilities and timelines after contract termination; if these are not well defined, it can be a concern.
AI/matching accuracy and relevance As with any AI-driven platform, some users may find recommendations less relevant initially and require fine-tuning of taxonomy and rules.
Licensing, implementation, and ongoing maintenance can be substantial for large, multi-region deployments.
While customization is powerful, excessive tailoring can lead to added complexity, longer rollout times, and higher maintenance needs.
Data migration/export concerns Customers want clear, reliable data export capabilities and well-defined
AI/matching relevance over time Initial recommendations may require tuning of taxonomy, rules, and data quality to maintain accuracy.
