Empowering AI Solutions. Driving ROI. Elevating Success.
EXAMPLE AI USE CASES FOR RETAIL LEADERS
Personalised Shopping Experience
Personalised Shopping Experience
Personalised Shopping Experience
Description: Tailor shopping experiences to individual customer preferences.
Typical ROI: 20% increase in sales conversion rates .
Best AI Model: Collaborative Filtering
Data Types: Purchase history, browsing data, customer profiles, social media.
Inventory Management
Personalised Shopping Experience
Personalised Shopping Experience
Description: Optimise inventory levels with AI-driven insights.
Typical ROI: 15% reduction in stockouts .
Best AI Model: Time Series Analysis
Data Types: Sales data, inventory levels, demand forecasts, supplier data.
Dynamic Pricing
Personalised Shopping Experience
Customer Segmentation
Description: Adjust prices in real-time based on market demand.
Typical ROI: 25% increase in profit margins .
Best AI Model: Reinforcement Learning
Data Types: Sales data, competitor pricing, market trends, customer behaviour.
Customer Segmentation
Supply Chain Optimisation
Customer Segmentation
Description: Segment customers for targeted marketing campaigns.
Typical ROI: 30% increase in marketing effectiveness .
Best AI Model: Clustering Algorithms
Data Types: Customer profiles, purchase history, social media, CRM data.
Supply Chain Optimisation
Supply Chain Optimisation
Supply Chain Optimisation
Description: Streamline supply chain operations with AI.
Typical ROI: 20% reduction in logistics costs .
Best AI Model: Linear Regression
Data Types: Supplier data, inventory data, shipping data, demand forecasts.
Fraud Detection
Supply Chain Optimisation
Supply Chain Optimisation
Description: Detect and prevent fraudulent transactions.
Typical ROI: 40% reduction in fraud losses .
Best AI Model: Anomaly Detection
Data Types: Transaction data, customer profiles, payment data, behavioural data.