Common data sources include sales transactions, customer profiles, browsing history, supplier and logistics data, and market trends.

Retailers often see measurable improvements — like better forecasting or higher conversion rates — within weeks to months, depending on the use case.

No — AI tools can benefit both small and large retailers by providing affordable, scalable solutions for customer engagement, inventory management, and fraud prevention.

Absolutely — AI detects unusual patterns in transaction data, identifying fraudulent activity in real time and reducing losses.

AI enables retailers to personalise product recommendations, promotions, and customer journeys, resulting in higher satisfaction and conversions.

Yes — AI uses historical sales, demand forecasts, and supplier data to optimise inventory management and ensure the right products are always available.

Dynamic pricing adjusts product prices in real time based on demand, competition, and customer behaviour. AI models analyse these variables to maximise profitability.

Through customer segmentation and predictive analytics, AI helps retailers target the right audiences with personalised campaigns, boosting effectiveness and ROI.