Tag: Predictive analytics

Forecast demand refers to the practice of predicting future customer purchases based on historical data, market trends, and real-time analytics. By analysing sales patterns, seasonal trends, and external factors such as market shifts or economic changes, eCommerce companies can make informed decisions about inventory, marketing strategies, and pricing.

Microsoft’s curated glossary of essential AI terms—from artificial intelligence and machine learning to large language models, generative AI, agent-driven tools, multimodal models, and responsible AI—provides a valuable foundation for eCommerce businesses to understand the rapidly evolving language development.

Retention adaptability refers to a company’s ability to maintain and improve customer loyalty by adjusting its strategies in response to changing customer behaviours, market conditions, and emerging technologies. In eCommerce, this means being flexible and...

Churn rate refers to the percentage of customers who stop doing business with a company over a specific period. In eCommerce, this typically means the number of customers who stop purchasing products or services from...

Artificial intelligence (AI) is becoming a cornerstone of modern eCommerce, enabling businesses to streamline processes, improve customer experiences, and drive higher conversions. AI in eCommerce is no longer limited to basic automation. It now includes...

Predictive analytics are offering companies a powerful tool to anticipate customer behaviour, optimise operations, and drive growth. By analysing historical data, patterns, and trends, predictive analytics enables businesses to future forecast and make informed decisions...