Marketing AI
Marketing AI includes automating, optimizing, and personalizing marketing and sales activities. This section highlights use cases in SEO, marketing, and sales automation, showing how businesses can apply AI to improve lead generation, content visibility, customer targeting, and overall campaign performance.
AI in Sales: 15 Use Cases & Examples in 2026
Artificial intelligence can enhance sales processes from lead generation to sales forecasting, helping businesses overcome low conversion rates and long sales cycles.
Recommendation Systems: Applications and Examples ['26]
Recommendation systems benefit both businesses and customers by using data to personalize experiences. They help boost sales, increase customer loyalty, and reduce churn by simplifying choices and keeping users engaged. We benchmarked three Python recommendation libraries: LightFM, Cornac BPR, and TensorFlow Recommenders, using the same implicit-feedback dataset and identical preprocessing steps.
Dynamic Pricing Algorithms in 2026: Top 3 Models
Dynamic pricing is a method used by business leaders, such as Amazon and Airbnb, to optimize their pricing strategy according to market and consumer data in order to attract more customers and increase profit. In this article, we explore the algorithms underlying dynamic pricing and how to choose the most suitable one for your business.
Top 10 SEO AI Use Cases with Case Studies in 2026
Competing for visibility in search results has become increasingly difficult as algorithms evolve and user expectations rise. Traditional SEO methods, reliant on manual research and incremental updates, often fail to keep pace with these changes. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent.