Tag: Data Quality
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When AI Pricing Goes Wrong: The Hidden Pitfalls of Automated Sales Price Calculations (and How to Avoid Them)
AI-powered pricing tools are revolutionizing sales strategies, helping businesses optimize price points, boost revenue, and react dynamically to market changes. But let’s get real—AI pricing isn’t some magical, all-knowing oracle that always gets it right. Businesses that blindly trust AI pricing models without proper safeguards often face disasters—from pricing premium products at rock-bottom rates to…
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Navigating the Risks of AI-Driven Price Optimization. Examples and Best Practices
AI-powered price optimization holds immense promise: analyzing market data, identifying patterns, and suggesting prices that maximize revenue or market share. However, one foundational risk often overlooked in AI implementations is bad data. When data is incomplete, outdated, or biased, it can lead to flawed pricing decisions that damage both profitability and customer trust. Below, we’ll…
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Confessions of a AI Developer: How I Totally Messed Up That AI Project
So there I was, grinning ear-to-ear, ready to wow everyone with my grand AI masterpiece. The plan was simple: impress the bosses, streamline operations, and maybe—just maybe—earn a reputation as the resident genius. What happened instead? Let’s just say I ended up with a cautionary tale of how to royally screw up an AI solution…
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Getting Ready for the AI Bandwagon: How Business Users Can Actually Prepare Requirements for That “Magical” Technology
AI is the buzzword on everyone’s lips, from the boardroom to the breakroom. The promise is enticing: streamlined operations, pinpoint decision-making, and fresh insights that could launch your business ahead of the competition. But let’s be honest—simply shouting “We need AI!” during a strategy meeting won’t make it appear like a fairy godmother. To truly…