Search and discovery experiences are vital aspects of any ecommerce solution. With Algolia, you can build the best possible user experiences for the ecommerce use case by leveraging these solutions:
- Relevance optimization
- Filtering and navigation
- Visual image search
Ecommerce implementation playbook
Through working with thousands of different companies and analyzing their success, we at Algolia learned how companies evolve their search and discovery strategies to drive business results and user loyalty.
We identified three stages in the maturation journey of search and discovery experiences: the Search and Discovery Maturity Model.
Stage 1: Foundational—build a basic search and browse experience
In stage 1, you implement the core technologies of the search and discovery experience for a relevant and fast search. The implementation is engineering-driven and focuses on a rapid launch.
Stage 2: Programmatic—use AI and analytics to optimize relevance and for merchandising
In stage 2, you use analytics to integrate business relevance and advanced intent detection programmatically. Stage 2 involves both engineers and business users to focus on an informed maturation of the search and discovery experience.
Fine tune relevance with analytics
Stage 3: Smart—use AI for recommendations and merchandising
In stage 3, you unify and converge advanced technologies, such as AI and data science. At this stage, implementations focus innovation-led by business and engineering teams under Executive sponsorship.
Add and test AI re-ranking
Search and category merchandising