Jess Dickenson, Managing Director, Precis Digital
Artificial intelligence (AI) is all the rage, so how can you customize this technology to help your clothing business succeed?
The rapid advancements in AI have captivated industries across the globe. It's no wonder that the global AI sector is predicted to be worth nearly $1 trillion by 2030. But with AI's power to drive growth, organizations tend to rush to adopt it or focus on the wrong things, leading to disappointing results and missed opportunities.
The good news is that with a well-structured, outcomes-focused approach, any business can choose the path that works best for its situation and ensure a smooth transition to AI-driven operations.
Let’s take a closer look at four key aspects to consider before implementing AI in your business.
1. Build a data foundation to avoid delays
Data quality, structure, and completeness are fundamental to an effective AI solution. AI learns, adapts, and generates results from this data. If companies have data silos or incomplete data, they run the risk of the output being unreliable. Even generative AI like ChatGPT works better when working with pre-analyzed and synthesized data. If you want better outputs in content and creative generation, it's important to invest in your underlying data sets.
For fashion retailers, this means investing resources in organizing and standardizing product, customer, and sales data. It's also important to ensure connections between different data points, such as marketing data and broader business metrics. These interconnections enable AI models to glean deeper insights and discover hidden patterns that drive informed decision-making, such as new creative iterations based on past performance.
2. Use AI for better results, not hype
AI is a means to an end, not an end in itself. Like any technology adoption, it needs to drive valuable outcomes for your customers and your business. Take Apple's approach as an example: recently announced AI-powered features are seamlessly integrated into their products to improve the user experience without the need for complex interactions based on chat prompts.
Retailers need to adopt a similar mindset. Take the time to understand your goals and set clear objectives. Are you aiming to create value for your business or for your customers? The following should provide some food for thought.
Create value for your business:
- Automation – AI can streamline inventory management, optimize pricing strategies, and automate customer service interactions, freeing up scarce human resources for more complex tasks.
- creative – Generative AI can drive innovation and creativity by helping design new collections, create marketing visuals, and generate product descriptions.
- Content – AI-powered tools can analyze customer data to generate personalized recommendations, curate content, and optimize email marketing campaigns to drive engagement and sales.
Value creation for customers:
- experience – AI can power virtual try-on features, allowing customers to visualize how an item will look in clothing without having to physically try it on, and it can also make smarter recommendations based on personal preferences and purchasing history.
- Convenience – Chatbots provide instant customer support, answer questions and guide shoppers through the buying process – the best way to increase convenience and satisfaction.
- Personalization – AI-driven algorithms can tailor product suggestions, promotions, and marketing messages to each customer, providing a more personalized and relevant shopping experience.
3. Trusting the process is key to adopting AI
Successful AI adoption requires a company culture where all users embrace and trust the technology. Fostering an environment where employees are open to the potential of AI is key.
Ignoring or discounting AI insights because they aren't the results you expected defeats the purpose of implementing AI in the first place. Instead, you should establish a robust validation process through continuous testing so that AI-driven decision-making becomes the norm.
Four. Should you build or buy an AI solution?
While developing an AI solution in-house may seem appealing, it is often costly and labor intensive, and runs the risk of perpetuating internal bias. Leveraging the AI capabilities of your existing tech stack and partnering with a third-party AI provider is often a more efficient and effective strategy.
External experts provide access to broader data sets and more sophisticated algorithms, allowing companies to benefit from broader industry learnings. The true power of AI lies not in its complexity, but in its ability to simplify processes, improve experiences, and deliver meaningful outcomes. Leveraged with intent, it can transform businesses and reshape industries.
By prioritizing a robust data foundation, adopting an outcomes-driven approach, and understanding the diverse applications of AI, fashion retailers can usher in a new era of growth, efficiency, and customer-centricity.
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Jess Dickenson, Managing Director, Precis Digital
