E-commerce
Solutions for revolutionizing E-Commerce through technology-driven innovation with a multi-layered and system-driven approach.
Product Recommendation
- Collect and analyze shopping behavior of customers and relate it to sales history.
- Provide insights on customer interests and her earlier buying patterns, using ML to prompt product suggestions.
- Develop an advanced product recommendation algorithm.
Fraud Detection
- Use AI/ML for fraud detection related to the use of stolen credit cards or retraction of payments post-delivery.
- Customer profiling to prevent future misuse of the system.
- Develop robust AI/ML-driven solutions to ensure fraud-free transactions.
Visual Search
- Construct and deploy visual search engines that allow customers to search products through images clicked by them.
- Leverage the visual search operations and integrate them into the E-Commerce platform.
- Seamless integration with existing text-based search operations.
Sentiment Analysis
- Use public perception of the platform and products to re-engineer processes of product recommendation.
- Analyze the sentiments of online customers through their social media activity to make relevant product suggestions.
- Categorizes emotions on the basis of organizational data and leverage such categories for making product recommendations.
Product Categorization
- Deploy AI/ML for product categorization across categories to throw up relevant searches.
- Automatic sorting of products across categories for better inventory control.
- Improve customer navigation by incorporating AI/ML-based recommendations.
Inventory Forecast
- Use predictive analytics for demand forecasting, procurement, production, and distribution.
- Recommend optimal inventory and efficient ordering quantity.
- Prevent stock-outs and free up cash for other products/businesses.
Strong internal and customer-facing applications are crucial for business success.
Partner with the right tech team to develop the apps you need.
