Trusted by Industry Veterans
Answers to your Ecommerce queries are within your data
Realizing the power of your Ecommerce data is the key to finding answers to critical questions that drive business to sustainability. Managed analytics plays a key role in uncovering these insights, providing answers to queries such as:
- Which is my highest-selling product?
- How often a customer buys a product?
- Am I holding too long on slow-moving stocks?
- Which of my stores(online/offline) is performing best?
- How to find my target market?
With data integration and Inventory analysis for Ecommerce, access tailored strategies that resonate with the diverse Indian consumer’s preferences and behaviors. Make informed decisions, shuffle product offerings, enhance customer experiences, and ultimately boost your digital commerce growth with managed analytics solutions.
Data Warehousing In Action
Data Sources
- Customer data
- Transactional data
- Product database
- Vendors database
- Marketing Analytics data
- CRM data
- ERP data
- E-Commerce platform data like Shopify, Magento
ETL Layer (Extract, Transform, Load)
- Extract data from the various sources
- Transform it (cleaning, formatting, etc.)
- Load it into the data warehouse
Data Warehouse in Cloud (Azure/AWS)
- Central repository for all the transformed data
- Hosted on a cloud platform like Azure or AWS
Business Intelligence (BI) Tools
- PowerBI/Tableau
Connected to the data warehouse
Outcomes from BI Tools
- Detailed analytics & reports
- Sales trends & performance analysis
- Customer behavior & segmentation
- Product performance & inventory management insights
- Supply chain & vendor performance analysis
- Marketing campaign effectiveness
- Interactive dashboards for real-time decision making
Data Sources
- Customer data
- Transactional data
- Product database
- Vendors database
- Marketing Analytics data
- CRM data
- ERP data
- E-Commerce platform data like Shopify, Magento
ETL Layer (Extract, Transform, Load)
- Extract data from the various sources
- Transform it (cleaning, formatting, etc.)
- Load it into the data warehouse
Data Warehouse in Cloud (Azure/AWS)
- Central repository for all the transformed data
- Hosted on a cloud platform like Azure or AWS
Business Intelligence (BI) Tools
- PowerBI/Tableau Connected to the data warehouse
Outcomes from BI Tools
- Detailed analytics & reports
- Sales trends & performance analysis
- Customer behavior & segmentation
- Product performance & inventory management insights
- Supply chain & vendor performance analysis
- Marketing campaign effectiveness
- Interactive dashboards for real-time decision making
Turn your customer inquiry to targeted campaigns
What Our Clients Say About Our Analytics!
The Tech Stack Behind Our eCommerce Analytics Engine
Demand Forecasting
Utilize historical data and predictive analytics to forecast product demand accurately. Implement the latest analytics tools to factor in seasonality, trends, and external factors affecting inventory needs. Optimize stock levels to prevent overstocking or stockouts, ensuring efficient inventory management.
Inventory Visibility
Implement a custom Power BI dashboard for comprehensive visibility into inventory levels. Integrate the Ecommerce dashboard in real-time with your e-commerce platforms to provide a seamless view of inventory across multiple channels.
Supplier Analytics
Analyze supplier’s performance to identify bottlenecks in the logistics process. Implement predictive analytics to anticipate potential disruptions in the supply chain. Optimize supplier relationships and lead times based on data-driven insights.
Data Warehouse Set-up for Personalized Recommendations
Establish a robust data warehouse infrastructure to centralize customer data. Collect, clean, and monitor online and offline store’s customer purchase history, preferences, and other relevant data for informed decision-making.
Access Target Groups:
Utilize data segmentation to categorize customers based on demographics, behavior, and preferences. Implement targeted marketing campaigns to specific customer segments.
Analyze the effectiveness of marketing efforts through data-driven insights.
Customer Journey Analysis
Map the entire customer journey from browsing to purchase to post-purchase interactions. Identify pain points and areas for improvement in the customer experience. Optimize website and mobile app interfaces based on customer journey analytics.
Pricing Strategy Optimization
Analyze market trends, competitor pricing, and customer behavior to optimize pricing strategies. Implement dynamic pricing models to adjust prices in real time based on demand and market conditions. Maximize revenue while staying competitive in the market.
Promotion Effectiveness
Evaluate the impact of promotions on sales and customer behavior. Implement A/B testing for different promotional strategies to identify the most effective ones.
Cart Abandonment Analysis
Identify reasons for cart abandonment through real-time data analytics. Implement targeted communication strategies (e.g., email reminders) to recover abandoned carts. Optimize the checkout process to reduce friction and enhance the conversion rate.
Demand Forecasting
Utilize historical data and predictive analytics to forecast product demand accurately. Implement the latest analytics tools to factor in seasonality, trends, and external factors affecting inventory needs. Optimize stock levels to prevent overstocking or stockouts, ensuring efficient inventory management.
Inventory Visibility
Implement a custom Power BI dashboard for comprehensive visibility into inventory levels. Integrate the Ecommerce dashboard in real-time with your e-commerce platforms to provide a seamless view of inventory across multiple channels.
Supplier Analytics
Analyze supplier’s performance to identify bottlenecks in the logistics process. Implem