SAN FRANCISCO and BENGALURU, India, Dec. 8, 2021 /PRNewswire/ — Algonomy, a leader in Algorithmic Decisioning, announced the Winter ’21 Release of their platform that features several new and advanced uses of AI in real-time customer engagement. One of the main highlights of the release is Social Proofing, the ability to algorithmically build credibility and aid consumer decisions using social approval.
Sarath Jarugula, Chief Product Officer at Algonomy said, “The Winter ’21 Release extends our core focus on algorithmic decisioning to additional areas of marketing and commerce lifecycle. Our new capabilities are self-serve, enterprise grade, and proven with early adopter customers realizing breakthrough results from these technologies.”
What’s new in Algonomy’s Winter ’21 Release:
Social Proof Messaging – With an expanding range of catalogs, assortments and products to choose from, digital consumers face a high degree of decision fatigue. To cut through the clutter, it’s helpful to indicate which products have the confidence of other shoppers. Social Proof offers a way to create trust, urgency or credibility during the shopping journey. Social Proof messaging content is algorithmically optimized in real time to show a variety of tactics like popularity – product views, purchases, add-to-carts, or urgency – such as low stock levels. The product is enterprise grade, real-time and self-serve for marketers, not requiring any developer support for set up.
Read more about Algonomy Social Proof Messaging.
Hyperlocal Search & Recommendations – Retailers often want to prioritize products that are closest to the shopper to ensure efficient delivery or pick-up to improve the omnichannel experience. Algonomy Find™ now offers geo-search capabilities, to surface products or services that are within a zip code or within a shopper’s geo coordinates. Brands that offer location based offerings can run personalization algorithms on such location filtered results. Hyper-localized search is now available for early adopters, and complements the existing hyper-localized product recommendation capabilities in Algonomy Recommend™.
New in Customer Journey Orchestration (CJO) – The Journey Builder now features personalized web push notification and activation capabilities for anonymous and known customers. Algorithms help personalize customer engagement in remarketing journeys, microsegment based persona journeys and cross channel journeys. Algonomy’s Journey Analytics tracks and measures web push channel performance too.
The other enhancement to CJO is Dynamic URL Shortener. It helps personalize products and offer recommendation links that redirect to specific landing pages in text messages. With native shortening capability, Algonomy’s CJO helps track links to understand the effectiveness of SMS promotions.
New in Customer Data Platform (CDP) – Golden Customer Record feature in Algonomy’s CDP is further enhanced to support demerge of previously merged customer records based on recent changes in identities. Records are split after reevaluating deterministic and probabilistic attributes resulting in two or more records based on the changes identified. This improves the accuracy as it demerges records that have been wrongly merged during the dedupe process.
Algonomy will showcase its latest AI innovations including the Algorithmic Social Proof Messaging product at NRF Big Show ’22, in NYC, Booth 6403.
About Algonomy
Algonomy (previously Manthan-RichRelevance) empowers leading brands to become digital-first with the industry’s only real-time Algorithmic Decisioning platform that unifies data, decisioning and orchestration across marketing, digital commerce and merchandising for the retail industry. With industry-leading retail AI expertise connecting demand to supply with a real-time customer data platform as the foundation, Algonomy enables 1:1 omnichannel personalization, customer journey orchestration & analytics, merchandising analytics and supplier collaboration. Algonomy is a trusted partner to more than 400 leading retailers, consumer brands, quick serve restaurant chains, convenience stores and more, and our global presence spans over 20 countries. More at algonomy.com
Media inquiries:
Amit Jain
amit.jain@algonomy.com
Author Information
As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.
She brings more than 20 years of experience in technology research and marketing; prior to her current role, she was a Research Analyst at Omdia, authoring market and ecosystem reports on Artificial Intelligence, Robotics, and User Interface technologies. Sherril was previously Manager of Market Research at Intrado Life and Safety, providing competitive analysis and intelligence, business development support, and analyst relations.
Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.
