What customer needed to run a successful business
The Oracle ATG platform was no longer able to support customers strategic goals & vision for creating business value and improving the online eCommerce business
The eCommerce platform serves as the backbone of the eCommerce experience, powering catalog management, browse and search, promotions, merchandising, cart, checkout, account and administrative functions. At the same time, it needs to ensure that it is able to support macro trends that are gaining momentum across the globe. Over a period of time, Customer expects to leverage the eCommerce investment to power other parts of the business. For example:
Modern, Reactive Microservices, API-First, Headless, Cloud Native, AI/ML Driven Commerce Platform. Designed to be a highly responsive, resilient and elastic platform
Retisio Commerce provides market-leading value for your business, IT & your customers right out-of-the-box
Retisio Commerce provides market-leading value for your business, IT & your customers right out-of-the-box
Built on a cloud platform that incorporates best practices and mature next-gen technologies, Retisio Commerce offers tools simple enough for business users to manage
Retisio Commerce is more than a commerce storefront. It is built with mature, next-gen reactive microservices technology stack allowing it to accelerate time-to-value, reduce infrastructure & cloud costs and takes full advantage of the distributed nature of the cloud and is resilient to failure, highly efficient, and operative at any scale
Increased engagement through better product findability
As shoppers type in keywords, Intelligent Search delivers highly relevant results through self-learning search, dynamic filters, high level of error tolerance, identifies inflections and user intent, provides rich, intuitive suggestions and more
Increase conversion rate through better accuracy
Once the shopper types in the search term on the site, AI-powered search uses NLP, semantic processing, and ML algorithms to surface extremely relevant search results
Facet Recognition
With Facet Recognition feature, SIT maps each keyword of user’s search query to relevant facets/attributes. This information is used to give the most relevant products first on the search result page
Category type Identification
With Category type Identification feature, SIT finds intended category and gives relevant products on search result page
Intent Identification
With Intent Identification feature SIT is able to find user’s intent for price and gives very relevant products according to user’s context
The ranking of products on search result page is done using these context determination features so that users get the most relevant and complete result set for each of their search queries
Intelligent Type-ahead
Intelligent Type-ahead predicts what user is going to type based on actual past search queries. User doesn’t have to type entire search query, she can just select from the list of predictions generated by intelligent type-ahead.
Auto Spelling and Space Correction
This feature corrects Spelling and Spacing mistakes in search queries, so that user doesn’t have to type again and again to get the right products
Breadcrumb Negation
Breadcrumb negation gives removable tokens from user’s search query, so that user can just remove one of the words/tokens to tweak the query
Recent Search
List of recently searched queries, so that user can resume from right where she left off
Increase Average Order Value (AOV) through increased relevancy
The order in which product content is displayed in the default view of search results can be influenced based on analytics information
Shopper relevancy can be personalized based on a combination of factors such as location, preferences, previous browse behavior, products owned etc
Increased conversion rate through better accuracy
Once the shopper types in the search term on the site, AI-powered search uses NLP, semantic processing, and ML algorithms to surface extremely relevant search results
View-View
view-view recommendation shows all the other products that were viewed by other users, when this product was also viewed by them
Bought-Bought
Bought-bought recommendation shows all the other products that were Bought by other users, when this product was also bought by them
Frequently Bought Together
Frequently bought together recommendation shows other products that were bought by other users in the same order when this product was also Bought by them
View-Bought
view-bought recommendation shows other products that were bought by other users when this product was also viewed by them
Retisio Commerce had all the functionality and business tools necessary to create an engaging customer experience, improve customer conversion, and simplify management. Built on a reactive microservices platform, it allowed us to extend functionality as and when we needed to
With changing customer trends, channels and technologies creating a new era in eCommerce, retailers cannot afford to use old tools and technologies. To succeed & grow, they need a modern commerce platform that can seamlessly scale to react to changing business