Escaping the AI echo chamber
ActiveG3ar Inc. is a fictional sports apparel company that designs and manufactures high-quality performance wear for athletes and fitness enthusiasts. The management team at ActiveG3ar take immense pride in staying ahead of the competition and seeking innovative ways to enhance their products and customer experience. As any competent management team would, they clearly saw the potential of AI, and were intrigued by its ability to transform their business.
AI, as they saw it, promised significant competitive edge, improved operational efficiency, improved sales and a redefined customer experience. With these broad goals in mind and fueled with irrational exuberance, they dove head-first into an ambitious AI journey.
The company retained the best in class management consulting firm that helped them launch several AI-infused products and services in no time.
ActiveG3ar’s most ambitious program was the implementation of an AI-powered virtual stylist on their mobile app. The concept was to provide customers with personalized outfit recommendations based on their preferences and body measurements. It also featured style inspiration, wardrobe organization, occasion-specific suggestions, seasonal adaptations, a virtual fitting room, personal styling advice, size and fit recommendations, and integration with social media. All these features were aimed at enhancing the user experience, helping users discover new styles, making informed purchase decisions, and engaging with others in the fashion community.
However, to their utter dismay, the virtual stylist’s fashion-focused approach failed miserably.
As it turns out, ActiveG3ar had overlooked a vital aspect of the sports apparel industry — functionality and performance take precedence over fashion trends for their target audience. Customers seeking sports apparel prioritize features such as moisture-wicking abilities, durability, and optimal fit. Unfortunately, the AI-powered virtual stylist failed to consider these factors, resulting in recommendations that focused more on fashion rather than functionality. Consequently, customers were dissatisfied with the suggested products, preferring to seek advice from knowledgeable staff or rely on their own judgments when making purchases. In some cases, the cognitive burden and the choice paradox drove them to competitors. Clearly, the Virtual Stylist did not resonate with ActiveG3ar’s core customer base.
“We went in too soon, the market is not ready”, they told themselves. “We now know fully well that our customers care about performance and fabric. What if we innovated on the product side, particularly the fabric using AI?” — they were convinced.
Boom! ActiveG3ar wasted no time and bootstrapped an AI-driven fabric innovation program with the aim of creating groundbreaking materials for their products. Using a much more sophisticated approach, combining elements of chemistry and AI, they create synthetic molecules to underpin their new fabric compositions that could enhance performance and comfort. The thought they were ready to win!
With great excitement, they launched the new fabric products into the market, under the “ActiveT3ch” line expecting an overwhelmingly positive response from their customer base. The reality, it turns out, was far from their lofty expectations. As ActiveG3ar showcased their AI-generated fabrics, customers were initially intrigued by the concept, drawn to the promise of cutting-edge advancements. But as they interacted with the products, the feedback began to pour in and it was not what ActiveG3ar had anticipated.
Customers found that the AI-generated fabrics, while conceptually fascinating, did not fully meet their needs as athletes or fitness enthusiasts. The focus on technological innovation had inadvertently overshadowed the practical considerations that were of utmost importance to the target audience. The fabrics were often too expensive for everyday consumers and lacked the durability needed for rigorous physical activities. Now Activeg3ar couldn’t have known that — they clearly hadn’t tested the fabric enough.
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Recognizing the gravity of the situation from two failed AI implementations in one year, they went back to the drawing board.
ActiveG3ar’s missteps and subsequent failures served as valuable learning experiences. The company realized the importance of strategic alignment between AI initiatives and overall business objectives. They also recognized the significance of market research and understanding customer preferences in order to provide value-driven solutions.
The lessons served as a foundation for the necessary strategic shifts ActiveG3ar would make in their approach to AI. ActiveG3ar now doesn’t have an AI strategy — it has AI as a part of its business strategy. They have adopted a more meticulous and customer-centric approach, focusing on initiatives that offered tangible value.
ActivG3ar has since launched the following programs — all thoughtfully planned and aligned with their business goals, adding significant value to their operations and customer experience. The purpose too now centered around the customer.
The takeaways for a rational thinker are obvious. An observant reader would also notice that “AI” was not used in the new messaging, but was ubiquitously rooted in their entire value chain.
ActiveG3ear ended up creating the following ten commandments, in no particular order, for the sake of posterity:
(ActiveG3ar doesn’t exist as described in the real world, but ActiveG3ar’s experiences may offer some valuable wisdom for other organizations embarking on their own AI endeavors, helping them steer clear of potential stumbling blocks.)
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6 个月To the point. Thanks for sharing