Ecommerce Analytics
to Accelerate the sales

DEMAND FORECASTING

Utilizing historical data and predictive analytics to forecast product demand accurately. Implementing 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

Implementation of custom Power BI dashboard for comprehensive visibility into inventory levels. Integration of the Ecommerce dashboard in real-time with  e-commerce platforms to provide a seamless view of inventory across multiple channels.

SUPPLIER ANALYTICS

Analyzing supplier’s performance to identify bottlenecks in the logistics process. Implementation of predictive analytics to anticipate potential disruptions in the supply chain. Optimizing supplier relationships and lead times based on data-driven insights.

CUSTOMER EXPERIENCE

Mapping of the entire customer journey from browsing to purchase to post-purchase interactions. Identifying pain points and areas for improvement in the customer experience. Optimizing website and mobile app interfaces based on customer journey analytics.

PRICING STRATEGY

Analyzes market trends, competitor pricing, and customer behavior to optimize pricing strategies. Implementation of dynamic pricing models to adjust prices in real time based on demand and market conditions. Maximizing revenue while staying competitive in the market.

CART MIDWAY LEAVING

Identification of reasons for cart abandonment through real-time data analytics. Implementation of targeted communication strategies (e.g., email reminders) to recover abandoned carts. Optimizing the checkout process to reduce friction and enhance the conversion rate.