Kovendo

In the world of digital marketing, understanding consumer psychology is often more powerful than any tool, platform, or algorithm. One such psychological principle, Loss Aversion Bias , has become a game-changer for marketers looking to increase conversions, reduce hesitation, and build stronger brand loyalty. But what exactly is loss aversion, and how can brands use it ethically and effectively? Let’s dive deep.   What Is Loss Aversion Bias? Loss aversion comes from behavioral economics and suggests that people feel the pain of losing something twice as strongly as the pleasure of gaining something of equal value. Imagine you have a chocolate bar. If someone offers you another chocolate bar, you’d be happy. But if someone tries to take away your chocolate, you’d feel much sadder than how happy you felt getting a new one. That feeling, being more upset about losing something than being happy about gaining something, is called loss aversion. In simple words:  ...

"Did you know? Over 42% of startups fail because there’s no market need for their product." That’s a staggering number, and one that could be avoided with the right approach: building a Minimum Viable Product (MVP). Let’s take a journey through the story of Maya, an aspiring entrepreneur with a dream of building an app that helps people track daily gratitude moments. Her story illustrates how an MVP can turn an idea into a successful, validated business, and how modern tools like AI-powered MVP development , no-code solutions , and data-driven iteration make it faster and smarter than ever.   The Spark of an Idea Maya was a UX designer tired of complex productivity apps. She wanted to create something simple, a space where users could note three things they were grateful for daily. But like most dreamers, she faced a dilemma: How much should she build before showing it to the world? That’s where the Minimum Viable Product comes in. Instead of building every feature, she fo...

It was a crisp October morning in Silicon Valley. Alex, a product manager for a mid‑sized U.S. tech company, poured his coffee and stared at the briefing on his screen: “Evaluate the different types of artificial intelligence systems we might deploy this year.” He thought back to when AI meant little more than science‑fiction in movies. Now, executives in Chicago and New York were asking questions about “ai types”, “types of ai” and “different forms of ai” in their strategy meetings. Alex felt the weight of responsibility: he needed to understand the technology in plain language, map it to their business needs across the U.S., and build a roadmap. In what follows, I’ll walk you through Alex’s journey - from definitions, to the major categories of ai types, examples, U.S.‑focused use cases, tools, how to build, and why it matters, all while using the keyword “different types of artificial intelligence systems” and “different forms of ai” as our anchors. Artificial intelligence (AI)...

  Did you know that by last year, the global market for autonomous agents and multi agent systems is expected to surpass $5 billion ? This staggering growth reflects a world increasingly reliant on systems that work together intelligently, sometimes without us even noticing. From coordinating traffic lights to managing financial portfolios, agents and multi agent systems are quietly transforming our daily lives. To truly appreciate the impact of these technologies, imagine a bustling city intersection. Hundreds of cars, pedestrians, and cyclists move in a carefully orchestrated dance, each making split-second decisions. Now, imagine if each vehicle and traffic light had its own ‘mind’, an autonomous agent capable of communicating and cooperating with others to ensure smooth traffic flow and avoid accidents. This is no science fiction; it’s the essence of agents and multi agent systems in action.   What Are Agents and Multi Agent Systems? Before diving deeper, let’s bre...

Imagine calling your bank late at night to resolve an urgent issue. Instead of waiting on hold for what feels like hours, you’re greeted instantly by a friendly, knowledgeable voice that understands exactly what you need and guides you effortlessly through the process. This is not a scene from a sci-fi movie, it’s the power of conversational AI transforming everyday experiences. According to recent research, over 85% of customer interactions will be handled without a human by 2025, thanks to advancements in conversational AI. This technology is quietly revolutionizing how businesses connect with customers, how doctors provide care, and even how we get mental health support. So, what exactly is conversational AI? At its core, conversational AI refers to computer systems designed to engage with humans in natural, fluid conversations, either through text or voice. Unlike traditional rule-based chatbots, conversational AI uses cutting-edge technologies like natural language processing ...

Did you know? According to a survey by Deloitte, companies that leverage AI in their finance operations reduce their average days payable outstanding by up to 15%, improving cash flow and supplier relationships significantly. In today’s fast-paced business environment, managing working capital effectively is crucial for financial health and operational success. One critical metric in this realm is Days Payable Outstanding (DPO). This blog will dive deep into what DPO means, why it matters, how you can calculate days payable outstanding, and explore how cutting-edge technology and AI are revolutionizing payable management.   What is Days Payable Outstanding (DPO)? Days Payable Outstanding measures the average time a company takes to pay its suppliers after receiving goods or services. Essentially, it indicates how long a company holds onto its cash before settling its payables. A higher DPO implies the company is effectively using its available cash for longer, enhancing l...