Overview
Unlock the power of your customer data to innovate personalized moments at every step of your customer’s journey. Algonomy Build™ services give you instant access to API-based personalization tools to manage and route your data from any source and integrate personalization into any application. Don’t just track data—learn from it and use it to build incredible products and experiences.
This overview is intended to be an introduction to what Build is and is suitable to anyone interested in furthering their journey with Algonomy to make shopping a highly personalized experience.
Find the right price promotion that brings customers back to that abandoned cart. Discover and showcase local trends in real time or decide how to organize products online or in stores. Optimize your AdWords campaigns based on product affinities. Provide store associates and personal stylists with the ability to refine their recommendations based on complete user data.
Work with your Algonomy team to implement the best solutions for your use case.
Build consists of several pieces run through APIs to customize your experience.
Build Components
Build includes the User Profile Service, Build Your Own API, Segment Service, and Strategy Publishing service.
User Profile Service
The User Profile Service (UPS) manages all user interaction events. It gives you a full, 360-degree, omnichannel view of your customer with real-time updates on user interaction on any instrumented channel. It also stores historical behavior information which can be supplemented with user attributes, segments, and preferences.
Build Your Own API
Build Your Own API allows users to build an API based on their individual needs.
Segment Service
Segment Serviceallows clients to define custom segments and export a list of users that belong to the custom segment.
Strategy Publishing Service
Use Model Importer allows you to create strategies using your in-house algorithms and datasets, upload to our cloud, and use them along with the native strategies available with our Recommend product.