cQube value proportion
cQube’s primary goals are to reduce your total cost of ownership (TCO) and increase revenue by effectively managing enterprise data.
If your legacy eCommerce frontend limits functionality, hampers site performance, or negatively impacts SEO, our platform-agnostic storefront upgrade will be transformative. Built on leading architecture and Domain Driven Design (DDD) principles, our storefront is secure, scalable, and customizable to your business needs. Our modern storefront will help reduce the total cost of ownership (TCO) required for implementing a new eCommerce platform, while allowing your teams to experiment with new customer-centric AI tools.
An organization’s ability to be profitable by leveraging Artificial Intelligence (AI) capabilities is contingent on the quality of its underlying data and insights to recognize the right opportunities for enhancing customer experience.
cQube’s data orchestration tool has the capability to process vast amounts of data from hundreds of sources and perform necessary transformations required for target systems. By storing inbound data, cQube enables intelligence development for pattern analysis and data validation, assessing the necessary delta information for downstream use.
Organizations must recognize that challenges in data-driven decision-making and AI enablement stem from poor data management and a lack of understanding of key data elements impacting business functionality, not just inadequate data collection from frontend applications.
cQube’s low-code data model and integration setup reduces the complexity of collating data across multiple applications and customizing enterprise integrations
To streamline decisions related to data ownership, cQube empowers business users to create and manage no-code workflows based on functional requirements. As business priorities shift, users can easily update workflow configurations or adjust batch job frequencies
cQube is designed as a low-code, no-code platform that can be primarily managed by business users through configurations Over the past decade, retail organizations have faced challenges relying on IT teams to manage data via complex middleware setups and heavy customizations to meet business needs
Retail organizations often struggle to manage cross-functional eCommerce data operations on a single platform. cQube’s notification management and reporting capabilities enable proactive management, validation and resolution of data issues shared across business teams.
What’s Next? Innovation Sneak Peak
Composable eCommerce solutions can be a double-edged sword. While they simplify complex frontend problems by implementing specialized applications, they can also lead to data paralysis by overwhelming organizations with excessive data from these individual applications and hindering decision-making.
Moreover, Artificial Intelligence (AI) is disrupting the retail industry’s landscape. To stay competitive, eCommerce organizations must balance delivering expected business outcomes while adapting to the rapid changes AI brings to entice customers. Our innovation team has identified two key areas to assist retail organisations deal with AI readiness
Leadership
Anubhav Raina
Founder & CEO
Roshni Isaac
Managing Director
Wasim Akram Anwar
Sales Engineering
Kunal Chande
VP, Client Partnership
Guna R
Technology Innovation
Anupama K
Product Management