
Founded in 2019 and headquartered in Singapore, the client is a fast-growing B2B e-commerce company operating across India, Singapore, Indonesia, Sri Lanka, and the Philippines.
Their platform connects global brands with a vast network of distributors, resellers, and independent sellers. As they expanded operations, they needed a modern analytics foundation to drive pricing intelligence, unify data, and support revenue growth.
View LiveB2B E-Commerce & Supply Chain
13 Weeks

The client faced multiple data and analytics challenges as they expanded across markets and distribution networks. Their fragmented data ecosystem made it difficult to access reliable pricing insights, respond quickly to market trends, and support strategic pricing decisions.
Pricing and operational data were spread across disconnected systems, limiting visibility and making it difficult to generate consistent insights.
Delayed data processing reduced the client’s ability to respond quickly to changing market trends, distributor behavior, and reseller performance.
Without a centralized data warehouse, teams struggled to access, manage, and analyze pricing data efficiently.
The client needed interactive dashboards and deep-dive reporting to explore product, distributor, and reseller-level performance for better pricing decisions.

OnPoint Insights implemented an advanced AWS-based analytics solution to deliver real-time pricing intelligence and operational efficiency.
The solution centralized fragmented datasets, automated data workflows, and enabled interactive reporting for data-driven pricing strategy.
The AWS-based analytics solution helped the client improve pricing visibility, automate data workflows, and uncover new revenue opportunities across their B2B e-commerce ecosystem.
Stakeholders gained real-time visibility into pricing performance, enabling competitive and profitable strategies.
Insightful dashboards uncovered pricing opportunities, directly impacting sales and margins.
Unified data views improved alignment across global brands and distribution partners.
Historical analytics enabled long-term forecasting and proactive business decisions.
Competitive, consistent pricing fostered trust and loyalty among customers.
Automated data workflows reduced manual tasks and improved consistency.



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