Ambiata: AI as a Service to Large B2Cs
Dr. Rami Mukhtar, Founder & Chief Solutions Architect“The clients we work with—large B2C companies—are all striving to understand for each individual customer what products and service channels will best drive top line growth. With accurate predictions, they can make the right product offer, at the right time, and through the right channel,” says, Alan El-Kadhi, Commercial and Sales Director, Ambiata. “An insight into customers’ needs and wants requires more than some smart AI technology.”
For over five years, Ambiata has been demonstrating that careful orchestration between in-market experiments and AI technology are required to understand which levers will drive customer value and lead to sustainable business growth – AI alone is not sufficient.
Originating from one of the world’s largest AI and machine learning applied research organizations, Data61, a group of scientists emerged with a vision of applying the scientific method to enterprise, employing AI to rapidly discover and test multiple hypotheses in-market to learn what actually works to drive sustainable profit growth. From this vision Ambiata was born, and over three years and several tier one anchor clients in financial services, telco, and retail - the Ambiata SaaS technology platform was proven.
Today the Ambiata SaaS (Software as a Service) model— with AI at its core—delivers multiple custom and pre-packaged personalization applications to large B2C clients across various industries, including retail, banking, telecom, and government. The service ingests customer data from each client, restructures it into usable information, co-ordinates experiments, and then leverages AI to generate thousands of predictive and prescriptive decisions about each customer. The individual customer decisions are then fed by the Ambiata platform directly into the client’s activation platforms such as CRM and AdTech, for personalized auctioning to optimize profit growth.
“Clients don’t have to build these capabilities in-house. We ingest their data – whether gigabytes or petabytes, transform that data into our “customer analytic record”, design and apply AI models, and send the predictive decisions directly back to the client’s activation platform such as a Martech or AdTech stack,” emphasizes Dr. Rami Mukhtar, Founder of Ambiata.
One of the two largest grocery retailers in Australia—prior to working with Ambiata—would send out an email displaying a large generic list of products on promotion to each loyalty customer. The process was inefficient and ineffective. Ambiata ingested all POS data daily and generated a personalized promotion catalog to each individual customer according to their individual preferences. A control group of a small percentage of the customers do not receive the Ambiata personalization to provide a comparison set. The results demonstrated millions of dollars of sales uplift through the Ambiata personalization.
Ambiata also works with one of Australia’s leading insurance companies to optimize the configuration of insurance products to meet customers’ needs and maximize insurance sales and customer satisfaction.
Similarly, one of the world’s largest media groups has substantially improved subscription renewals and churn reduction using Ambiata’s AI model to predict customer preferences in Australia and USA. Ambiata also helps the media group identify customer’s “reading interests” to enable delivery of highly targeted advertising that drives up revenue. And recently the diversity of the Ambiata AI platform has won projects with the Federal Government of Australia, where Ambiata is helping to optimize government outcomes by accurately predicting the most effective resource to allocate to a citizen at the right time. In 2018, Ambiata will venture into new waters by expanding to Asia and USA
“Clients don’t have to build these capabilities in-house. We ingest their data – whether gigabytes or petabytes, transform that data into our “customer analytic record”, design and apply AI models, and send the predictive decisions directly back to the client’s activation platform such as a Martech or AdTech stack,” emphasizes Dr. Rami Mukhtar, Founder of Ambiata.
One of the two largest grocery retailers in Australia—prior to working with Ambiata—would send out an email displaying a large generic list of products on promotion to each loyalty customer. The process was inefficient and ineffective. Ambiata ingested all POS data daily and generated a personalized promotion catalog to each individual customer according to their individual preferences. A control group of a small percentage of the customers do not receive the Ambiata personalization to provide a comparison set. The results demonstrated millions of dollars of sales uplift through the Ambiata personalization.
Ambiata also works with one of Australia’s leading insurance companies to optimize the configuration of insurance products to meet customers’ needs and maximize insurance sales and customer satisfaction.
Similarly, one of the world’s largest media groups has substantially improved subscription renewals and churn reduction using Ambiata’s AI model to predict customer preferences in Australia and USA. Ambiata also helps the media group identify customer’s “reading interests” to enable delivery of highly targeted advertising that drives up revenue. And recently the diversity of the Ambiata AI platform has won projects with the Federal Government of Australia, where Ambiata is helping to optimize government outcomes by accurately predicting the most effective resource to allocate to a citizen at the right time. In 2018, Ambiata will venture into new waters by expanding to Asia and USA
