AI is a hot new topic winding its way into every tech-related conversation. Promises and misunderstandings of what it is and what it can do are rife, and this can be a problem in retail tech. With all the claims flying around, it’s difficult to tell what AI can really do, and where possibilities intersect with real-world applications. Taking a deeper look at what AI is and where it stands out in retail, it’s still possible to find some helpful directions worth exploring. So, where should we start, and where are we already using AI without realising it?
AI Already in Action
Though most users aren’t aware of it, practically every business website out there is already heavily protected by AI. A prime illustration of this is found in online casino services, like those offering free spins on Fishing Frenzy Megaways. On the surface, this water-themed slot page is about offering bonuses like deposit matches and free spins, but beneath the surface, its HTML5 backing includes powerful safety features like data encryption. Even just on this informational page, AI detects which browsers are connecting honestly, and which should denied access.
Code (4)” (CC BY 2.0) by microsiervos
We tend to overlook uses like these because we’ve internalised the idea that AI is inherently highly complex. As described by Tech Target, AI can also include simple processes. As long as a machine process can discriminate between inputted data and produce different output, we can consider it AI. In this way, you’re already using an enormous amount of AI in your business, but what if we want to get more complicated?
More Complex AI as a Helper
Many forms of cutting-edge AI claim to be able to help businesses, and while there is significant potential in newer options, some of the most reliable implementations are found with AI statistical analysis tools. Covered by the helpful team at Relevance AI, AI tools excel when they’re breaking down patterns like sales trends. The analysis of these trends can then be explored by humans to plan for seasonal changes in buying patterns, or to order ahead new goods that are likely to sell well in the next season.
AI can also act as a boon for recording and transcribing meetings. Coordinating between groups in meetings can be complicated, costing manpower where it might better be served elsewhere. AI transcription tools can help automate this process, helping avoid confusion and allowing employees to easily search and check the record for any ideas and plans they missed or are uncertain of.
Tested is Best
If you’re looking to integrate new AI into your retail workflow, then the best advice we have is to check user reviews and explore the successes and failures of others in similar markets. It can be difficult to separate the claims from the facts, and investing in the wrong AI can lead you down an expensive path. Like any other changes to your business, start slow, keep staff trained and informed, and you’ll be better poised to take advantage of what newer AI has to offer.
