Engagement overview
Clavis Insight, a global provider of eCommerce analytics solutions, prioritized strengthening its Amazon marketplace intelligence capabilities to support brands operating in an increasingly complex digital shelf environment. Recognizing the need for a unified view of product performance, competitive positioning, and customer behavior, the initiative focused on consolidating fragmented marketplace data into a single analytics platform.
In collaboration with TO THE NEW, Clavis Insight enabled the development of OneView, an Amazon-focused analytics solution designed to unify multi-source data, provide real-time visibility into key performance signals, and support data-driven decision-making. The initiative strengthened Clavis Insight’s ability to deliver actionable digital shelf intelligence and improved visibility into product performance across Amazon marketplaces.
Our client
Clavis Insight is a global provider of digital shelf and online store analytics, enabling brands to track, measure, and optimize performance across online marketplaces. The company supports businesses in understanding the path-to-purchase journey and strengthening their digital sales strategies.
Recognized as a leader in online channel analytics for product manufacturers, Clavis Insight has introduced the 6Ps eCommerce Intelligence™ framework to help organize and prioritize analytics-driven actions. Its platform enables global brands to drive category-level sales, optimize product content for brand consistency and compliance, and maintain unified visibility into omnichannel performance.

Business solution
A scalable data engineering and analytics platform was enabled to unify marketplace data and deliver real-time digital shelf intelligence.
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Unified multi-source data pipelines enabled to consolidate marketplace data into a single reporting environment
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Real-time data ingestion enabled to provide up-to-date visibility into sales and performance signals
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Configurable dashboards introduced using advanced visualization frameworks to support detailed performance analysis
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Location-based analytics enabled using map integrations to provide visibility into product availability across regions
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Scalable backend architecture implemented using Spring Boot to support multi-tenant data processing and security
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Role-based and subscription-based access controls introduced to ensure secure and governed data access
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Interactive front-end experience developed using React to support intuitive navigation and faster insight discovery
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Data storage optimized using PostgreSQL to support complex analytics workloads and flexible data structures
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Continuous integration pipelines enabled using Jenkins and cloud deployment to support release consistency

