Thank you for Subscribing to Retail Business Review Weekly Brief
Retail Business Review | Wednesday, August 30, 2023
AI is the driving force behind disruptive technological innovations today and it has been applied in every facet of businesses. AI technology has also been used in retail and has become increasingly prevalent.
FREMONT, CA: AI is the driving force behind disruptive innovations today. It is the foundation for products that tend to the future of an industry and exceed the expectations of customers. Naturally, AI has been applied in every facet of businesses, and its importance seems to only grow in the future.
AI technology has also been used in retail and has become increasingly prevalent, providing retailers with innovative ways to interact with their customer base, helping them optimise their operations, and increase revenue.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
How the Disruptive Technology Has Transformed the Retail Industry
There are multifaceted applications of AI in the retail industry.
Customer Relations: In the context of customer relations, retailers can utilise AI to analyse customer data such as browsing behaviour to display targeted and personalised marketing messages, and purchase history. Through this, the relevancy of marketing messages can increase, resulting in an improved customer experience, which achieves personalisation in marketing. This also fulfils the needs of customers who require tailored experiences that identify and cater to their specific needs.
By delivering personalised recommendations, retailers gain shoppers’ attention, who may have otherwise exited the virtual store without making a purchase. These solutions build improved customer relations, by showing shoppers that they are valued.
Inventory: Algorithms in AI can analyse historical sales data, social media trends, and weather patterns to predict demands, enabling retailers to optimise inventory. These reports can also help in reducing waste and avoiding stock issues.
Supply Chain Management: By optimising inventory using AI, companies can make informed decisions about product stocks. AI algorithms can analyse data from across their supply chain which includes production schedules, sales data, and shipping times to predict optimal inventory levels.
In addition, monitoring the supply chain using AI provides real-time insights and updates into every stage of the process, therefore increasing viability. Through this, potential issues can be identified immediately before they descend into major issues. This also aids in decision-making regarding inventory levels, shipping schedules, and more.
Monitoring the production real-time also enables retailers to receive alerts in the event of a delay, which helps them adjust their inventory or shipping schedules to reduce the impact on their businesses.
Eliminating Cyber Security Risks with AI: As e-commerce and online transactions are utilised more frequently in the industry, cybersecurity threats are also increasing. Some common types of threats are phishing attacks and ransomware. By utilising AI to handle the financial aspects of e-commerce, retailers can proactively identify and mitigate potential threats before they spiral into major issues. AI can recognise suspicious activity in the supply chain, detect anomalies, and forecast threats.
Drawbacks Involved in Leveraging AI
Retailers must also be aware of potential drawbacks regarding AI. For example, an AI model can perpetuate bias if it is not designed with diversity and inclusion in mind. In addition, retailers must store customer data responsibly and protect it, as data privacy and security are paramount.
AI has established itself in the retail industry and is only increasing in its ability to optimise operations, increase sales growth, and improve customer relations. Retailers need to implement AI with the awareness of its drawbacks, and subsequently, collaborate with partners who prioritise ethical AI practices.
More in News