The benefits of in-house search and ranking solutions
Nobody knows your users better than you do! Building in-house search and ranking solutions instead of purchasing third-party alternatives can offer your business a wealth of strategic advantages, including:
- Enhancing conversion rates and bolstering customer retention by developing a customized solution that uses models trained with your own data, designed to deliver results specifically tailored to your customers’ needs
- Enabling superior customization, ongoing iteration, and smooth integration with established processes, allowing your solution to grow with your business demands
- Having full control over your system, which provides the flexibility to install required safeguards, protect sensitive data, and maintain regulatory compliance
But building in-house search and ranking solutions is hard.
- Ongoing maintenance of heavyweight data infrastructure
- Turning complex feature engineering into efficient data pipelines that can leverage data from batch, streaming, and real-time data sources
- Ensuring online/offline consistency for reliable model training and real-time search and ranking
- Adapting to constantly evolving data patterns
- Handling large and diverse batch, real-time, and streaming data sets
- Cost and resource constraints
- Security and compliance issues
- Seamless integration with existing systems
Power your in-house search and ranking ML solution with Tecton to:
- Implement 99% of the most common ML feature transformations. For the remaining 1%, maintain your own data pipelines and ingest the data into Tecton’s feature store!
- Maintain feature consistency during offline training and online serving, and efficiently manage complex feature engineering tasks
- Quickly iterate in complex production environments, harnessing every data type, from batch to real-time
- Ensure your systems always perform at their best with built-in monitoring and alerting
- Promote feature reusability and collaboration across teams to accelerate the development of search and ranking models
