THE BIG PICTURE: 5 Ways AI Can Boost The Bottom Line

As Artificial Intelligence (AI) dominates the headlines, we investigate the ways in which generative AI can help boost future profits.

AI is still shaping the news agenda, as the world gets to grips with what it is and the potential impact.

AI itself has been around for decades, anything from Alexa to predictive text is a result of AI. But, generative AI (of which ChatGPT is one application) is what’s new and causing all the hype. 

What is Generative AI?

Generative AI has been trained on huge amounts of data to create new text, images, video or audio by using deep learning algorithms in response to user prompts. In simple terms, it generates new content that didn’t previously exist.

ChatGPT is a text-based chatbot app, which became the fastest growing app in history earlier this year when it reached over 100m users in its first few months of launch.

With huge consumer interest worldwide, we explore the potential impact of generative AI for businesses and how it could help them stay competitive and profitable in the year’s ahead…

1. Personalised Product Recommendations: 

Generative AI can be used to analyse customer data and generate personalised product recommendations based on the customer’s preferences, past purchase history, and browsing behaviour. This can help businesses improve their sales and provide a better customer experience.

2. Virtual Try-On:

Generative AI can be used to create virtual try-on experiences, allowing customers to see how clothing, makeup, or accessories would look on them without physically trying them on. This can be particularly helpful for retailers, reducing return rates and improving customer satisfaction.

3. Product Design and Development:

Generative AI can be used to assist in product design and development by generating designs based on customer feedback and market trends. This can help retailers create products that are more likely to resonate with their customers.

4. Inventory Management: 

Generative AI can be used to predict demand and optimise inventory management by analysing sales data, customer behaviour, and market trends. This can help retailers reduce waste, optimise stock levels, and improve profitability.

5. Fraud Detection:

Generative AI can be used to detect fraudulent activity by analysing patterns in customer behaviour and transactions. This can help businesses prevent losses due to fraudulent activities.

FINAL THOUGHTS: Generative AI clearly offers businesses some fantastic opportunities in the future, but as with any new strategy ‘test and learn’ is always a good way to ensure you’re adding value to the business and not just jumping on a bandwagon.

CREDIT: Photos by Tara Winstead

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AUTHOR 

Picture of Matt Haycox

Matt Haycox

Matt Haycox is a self-made entrepreneur who began his career revitalising a family uniform business. Despite experiencing bankruptcy during the 2008 financial crisis, he rebounded strongly. Today, he is a serial investor and lender, having invested in over 30 businesses and provided £500m of funding to UK businesses. His journey has transformed him from borrower to lender, and from operator to advisor, using his experience to assist other businesses and entrepreneurs

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