Pricing Analytics for a B2B E-Commerce Platform Using AWS
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.
B2B E-Commerce & Supply Chain
13 Weeks
- Pricing Analytics
- AWS Data Engineering
- Real-Time Data Pipeline Development
- Data Centralization & Structuring
- Cloud Data Warehousing
- AWS QuickSight Dashboard Development
- ETL Architecture Design
- Strategic Pricing Intelligence
The Challenge
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.
Disparate and Disorganized Data Sources
Pricing and operational data were spread across disconnected systems, limiting visibility and making it difficult to generate consistent insights.
Lack of Real-Time Processing
Delayed data processing reduced the client’s ability to respond quickly to changing market trends, distributor behavior, and reseller performance.
Absence of Centralized Data Warehouse
Without a centralized data warehouse, teams struggled to access, manage, and analyze pricing data efficiently.
Limited Data Visualization and Exploration
The client needed interactive dashboards and deep-dive reporting to explore product, distributor, and reseller-level performance for better pricing decisions.
Our Solution
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.
Organized fragmented datasets and created dedicated data objects tailored for pricing analytics.
Built a real-time data pipeline using AWS Kinesis, AWS Data Migration Service, AWS Glue, and AWS Relational Database Service, ensuring swift data movement and transformation.
Leveraged AWS Redshift to store and manage large volumes of processed pricing data efficiently and securely.
Incorporated tabular reporting and deep-dive features to analyze product, distributor, and reseller-level performance.
Developed dynamic, filter-enabled visualizations in AWS QuickSight, empowering data-driven pricing decisions.
Results & Impact
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.
Smarter Pricing Decisions
Stakeholders gained real-time visibility into pricing performance, enabling competitive and profitable strategies.
Increased Revenue
Insightful dashboards uncovered pricing opportunities, directly impacting sales and margins.
Stronger Collaboration
Unified data views improved alignment across global brands and distribution partners.
Strategic Planning
Historical analytics enabled long-term forecasting and proactive business decisions.
Customer Satisfaction
Competitive, consistent pricing fostered trust and loyalty among customers.
Operational Efficiency
Automated data workflows reduced manual tasks and improved consistency.
Explore Other Case Studies
Next Case Study
How a Preventive Healthcare Provider Turned Diagnostic Data into Early Warnings
How an HVACR Retailer Rebuilt Product Recommendations with Machine Learning
