Retail
Artificial intelligence (AI) and machine learning is set to transform the retail industry driving deeper insights into customer behavior, operations, finances, and human resources. ELIZE Solutions gives your retail organization the tools needed to accurately forecast demand and inventory, better understand customer sentiment, and optimize staffing, helping you dominate your market and delight customers.
Learn how to improve demand forecasting with AI.
With the help of machine learning, the retailer can predict demand for products, when that demand will occur, and how it will change over time.
Use Cases for Retail
AI-driven retailers seize every opportunity to use data to analyze customer spending patterns and shopping behavior across all channels to align product mix, promotions, messaging, and media choices to have the right product available at the right place at the right time.
Use cases include:
• Customer ROI & Lifetime Value (LTV)
• Customer or Client Churn
• Sentiment Analysis
Use cases include:
• Demand Forecasting
• Inventory Planning
• Supply Chain Analysis
• Pricing Optimization
• Site/Space Optimization
• Fraud Detection
Use cases include:
• Market Segmentation & Targeting
• Next Best Offer
• Channel Optimization
• Advertising/Campaign Effectiveness
Use cases include:
• Staff Scheduling/Optimization
• Hiring
• Retention & Morale
Elize Solutions Cloud, powered by Amazon Web Services
To deliver Elize Solutions Cloud, we have partnered with Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. The flexibility and scale of the AWS platform enables Elize Solutions to deliver a robust, secure, on-demand platform to our customers. This allows rapid deployment of Elize Solutions and allows our users to quickly build and deploy highly accurate machine learning models in a fraction of the time.