On November 18, 2021, a renowned CX AI platform, Commerce.AI announced its launching in the Amazon Web Services (AWS) marketplace. It will help enterprises utilize the power of unstructured data and deliver a top-notch customer experience.
At the conference, held in San Francisco, Mr. Andy Pandharikar, Founder and CEO explained how this presentsan excellent opportunity for enterprises to leverage their AWS commitments and unify billing to start CX/AI projects quickly.
We created Commerce.AI because we saw a massive opportunity to help companies take control of unstructured data and unlock new business opportunities, By being available in the AWS Marketplace, we have made it easy for anyone with an AWS account to try our platform and start running CX projects in moments and without formal training. We give data scientists, CX operators, and teams across business functions real-time insights to optimize business decisions."
Mr. Andy Pandharikar, Founder and CEO
The availability of Commerce.AI will enable AWS customers to effectively process unstructured data and get real-time insights by deploying Commerce.AI’s visual interface, integrations, and tools. Additionally, continuous data integration will be possible as Commerce.AI software is timely optimized and provides auto access to new data sources.
Another most prominent benefit of Commerce.AI’s availability is that it facilitates an improved purchasing process, which ensures time-to-value for all. The data platform from Commerce.AI is full of exciting features and solutions. For example, it allows 100+ data integrations that allow direct access to data sources (both public and private). Moreover, with around 55,000 industry-specific AI models, this platform provides real-time insights and reports in multiple formats.
More than 500 leading fortune organizations like Coca-Cola, NetGear, Unilever, and Suzuki use the Commerce.AI platform to leverage their business operations. The primary reason behind the popularity of this industry-leading platform is its ability to deliver a next-gen customer experience through thousands of in-built machine learning processes and models. These models make it possible to retrieve real-time records from video, text, chat, and voice data.