About the Company
The client is a leading Indian retail company renowned for designing, manufacturing, and selling an extensive range of high-quality home décor and furnishing products. Their portfolio also includes beautifully crafted and affordable kitchenware, dining accessories, and ethnic clothing items, positioning them as a holistic home lifestyle brand.
With strong roots in India, the company has established a growing global footprint, operating across 9 countries including the United States, Canada, Australia, and several nations in Europe. The client reaches customers worldwide via major online marketplaces like Amazon and eBay, in addition to their own local eCommerce platforms in India.
Business Challenges
As the business scaled up operations internationally and diversified across eCommerce platforms, it began encountering major data-related challenges. These issues stemmed from fragmented data sources, inconsistent formats, and an over-reliance on manual data handling processes. Below are the key obstacles the client was facing:
- Diverse and Disparate Data Channels
Each country-specific storefront on Amazon and eBay generates its own dataset, producing multiple streams of raw monthly data. While these platforms do provide customized reports, they come at an additional cost. Even when available, integrating and consolidating this disparate data proved to be a significant hurdle for the client’s internal teams. On top of that, data from their proprietary eCommerce websites and other internal systems further contributed to the complexity.
- High Manual Intervention
To manage the inflow of business data, the team relied heavily on manual processes. PHP scripts were used to extract and massage the data before dumping it into a database. This labor-intensive method was time-consuming, prone to human error, and not scalable.
- Inconsistent Data Granularity
The granularity of data across different platforms varied significantly. This posed a serious challenge in aligning and consolidating information from all sources for comprehensive reporting. Even with tools like Tableau, producing effective, unified reports remained difficult due to incompatible datasets.
- Lack of a Unified View of Revenue
One of the most pressing concerns for the executive team was the absence of a consolidated view of the profit and loss (P&L) statements.
Platforms like Amazon charge sellers over 30 different types of fees, including fulfillment, advertising, and referral fees. Additionally, costs incurred through inventory management, logistics, and bank charges created layers of complexity. Without a unified view, identifying cost-saving opportunities and understanding true profitability was nearly impossible.
Solution Delivered by Logesys
Understanding the multifaceted nature of the client’s business and its growing data needs, the Logesys team conducted a thorough analysis of all available data sources. The objective was to create a unified data model that allows for effective consolidation, cleansing, and reporting.
- Data Consolidation & Cleansing
We began by defining a common level of granularity across all datasets to ensure smooth integration. Data from Amazon, eBay, and other internal systems were extracted and merged. This data was then cleaned using advanced SQL scripts to eliminate duplicates, inconsistencies, and junk values.
Once the data was refined, it was consolidated into a centralized Microsoft SQL Server database. This acted as a single source of truth for the reporting layer.
- Interactive Dashboards Using Power BI
To transform raw data into actionable insights, Power BI was implemented as the visualization and analytics layer. Our team developed customized dashboards that deliver real-time visibility into KPIs across finance, operations, inventory, and logistics. These dashboards were tailored for specific teams, including the executive board, finance department, and inventory management, and were fully accessible via the web and mobile.
Technology Stack and Timelines
- Visualization & BI Tool: Microsoft Power BI
- Database: Microsoft SQL Server
The entire project—from initial requirement of gathering to solution design, development, testing, and go-live—was completed within a span of approximately 3.5 months. Since deployment, the system has been operating seamlessly and has delivered tangible business value.
Reporting Capabilities by Team
Key Benefits Delivered
Common Benefits Across the Organization
- Fully automated reporting, eliminating manual intervention
- Highly visual dashboards with maps, charts, and color-coded insights
- Web and mobile accessibility for on-the-go decision-making
- Tight data governance and security protocols
- Daily data refreshes for up-to-date insights
- 24/7 technical support provided by Logesys
Unveiling Hidden Insights
With data merged from various geographies and channels for multiple years, the analytics solution provided deeper business intelligence:
- Inventory Optimization: Reports highlighted costs associated with damaged goods, transit losses, and returns—allowing better inventory rotation between Amazon fulfillment centers and the client’s warehouses.
- Root-Cause Analysis: Product performance reports reveal common reasons for order cancellations and returns—such as delayed shipments, product damage, and incorrect deliveries.
- Financial Transparency: Detailed finance dashboards enabled the team to analyze advertising costs, keyword performance, and promotional expenses—uncovering spend areas that were not delivering results.
- Strategic Planning: The executive team could finally view comprehensive P&L statements, helping them spot surprising gains and unexpected losses. They could also pinpoint hidden expenses such as import duties and banking charges, which previously went unnoticed.
Results & Business Impact
The Power BI-powered analytics solution implemented by Logesys revolutionized the client’s decision-making process. Key outcomes included:
- Unified, real-time insights accessible across departments
- Elimination of manual data preparation efforts
- Streamlined inventory and financial operations
- Improved transparency into expenses and profits
- Better strategic planning based on accurate, holistic data
The project was delivered within a remarkably short timeline of 3.5 months, including intensive testing and fine-tuning. Since deployment, the system has proven to be indispensable for the client’s operational and financial management.
If you’re looking to unlock similar value from your business data and streamline reporting across complex eCommerce platforms, get in touch with Logesys today. We specialize in implementing tailored analytics solutions that turn fragmented data into strategic advantage.