In the digital commerce era, businesses must navigate the complexities of customer engagement, personalization, and maximizing revenue opportunities. One of the most impactful strategies in this landscape is cross-selling—encouraging customers to purchase complementary or related products during their shopping journey.
As agentic AI solutions gain traction across industries, they face an evolving set of security challenges that threaten their safe and reliable operation. These challenges include mitigating hallucinations—where AI generates misleading or inaccurate outputs—preventing malicious prompt injections and jailbreaking attempts, safeguarding user privacy, and implementing robust agentic access controls to prevent unauthorized actions.
AI Agents are not just incremental improvements—they represent a paradigm shift in how businesses approach e-commerce. These agents, are capable of dynamic reasoning, autonomous decision-making, and adaptive responses tailored to real-time customer needs. Unlike traditional rule-based systems, AI agents actively learn and engage, creating transformative opportunities across e-commerce.
AI agents are increasingly being integrated into Human Resources (HR) to automate and optimize a wide range of functions, from recruitment and onboarding to performance management and employee engagement. Unlike traditional automation tools, AI agents in HR bring advanced cognitive capabilities, allowing for a more efficient and personalized experience for both employees and HR professionals.
As we look toward 2025, the landscape of AI is poised for transformative advancements. Key breakthroughs have been mentioned by industry stakeholders like Eric Schmidt, Mustafa Suleyman and others. These include: large context windows, memory capabilities, AI agents, and “text to action” functionalities promise to redefine the possibilities of generative AI systems. Each of these advancements is significant on its own, but their combined impact will be nothing short of revolutionary.
After-sales support is a vital service that starts immediately after a product has been purchased, encompassing processes such as order tracking, troubleshooting, product maintenance, warranty claims, and customer service interactions. It plays a crucial role in ensuring customer satisfaction and fostering loyalty throughout the post-purchase journey.
When using buzz words, they are most likely followed by words like “revolutionary” or “pradign shift”. If one is living during such times, do they realize this? And how?
A paradigm shift represents a profound change in the way people understand and approach problems within a particular field. Historically, paradigm shifts occur when existing models or systems fail to solve new, complex challenges, forcing a new approach that redefines the norms.
In the world of artificial intelligence, two commonly encountered terms are AI bots (also known as chatbots) and AI agents. While these terms are often used interchangeably, they represent two distinct technologies with significant differences in capability, functionality, and the overall user experience.
Large Language Models (LLMs) like GPT-3.5 and GPT-4 have captivated the world with their ability to answer questions, write essays, and even code. But do these impressive abilities translate into genuine reasoning and planning skills? This question is crucial because it helps us understand the limitations and potential of LLMs
Thanks to the recent advancements of Gen AI human-bot interactions have finally switched from bot-driven to fully user-driven ones. Conversation Designers no longer need to put that much of effort to think multiple steps ahead, predict users’ needs and provide paths to follow.
