AI for warehouse logistics – iTizzi, Ukraine


Artificial intelligence is also affecting areas of the e-commerce industry that are not visible to customers. AI reaches, among other things, warehouses, increasing the productivity and efficiency of the processes taking place there. Machine learning helps, for example, to assign suitable storage bins for individual items based on factors and dependencies included in the system. Artificial intelligence also enables efficient inventory management. Algorithms keep them in the required quantity in the warehouse, taking into account current sales trends, potential delivery problems, and expected changes in demand for individual products. This is important because simple, conventional non-AI inventory management is usually based only on current inventory levels. It is also important that warehouses are increasingly using automated robots, which is in fact the future of the e-commerce industry. Unlike humans, they can work 7 days a week, around the clock. They can deal not only with storing products, transferring and shipping them, but also scanning and dispatching immediately as soon as an order is received.

Sustainable AI supply chain management

Logistics is a very important part of e-commerce. It turns out that up to 30% of carbon dioxide emissions come from transport and shipping. To reduce our carbon footprint, artificial intelligence is helping to develop environmentally friendly solutions and optimize routes accordingly. Amazon has even prepared its own scientific model showing where the largest carbon footprint is currently observed.

Identifying companies offering counterfeit products

A huge part of world trade is the sale of counterfeit products. Unfortunately, such products negatively affect both the opinion of the brand and the income from it. It is reported that the losses of luxury brands due to counterfeit products reach $ 30.3 billion. Of course, at this stage it is impossible to completely prevent the activities of this type of enterprise.

As it turned out, artificial intelligence can help detect counterfeit products. This is possible thanks to keyword monitoring and image recognition systems. An example of a company using these mechanisms is Burberry, which uses image recognition to analyze the texture and weave of certain products. What matters is that it detects counterfeit goods with almost 100% accuracy. This, in turn, allows for quick action against companies offering this type of product.

Optimizing prices

If you are using or want to use dynamic in-store prices, you might also find AI useful. A pricing strategy based on current market demands can help you increase sales and increase profits – up to 25%. Machine learning allows you to track competition and adjust prices accordingly. AI algorithms can analyze historical and competitive data to provide accurate pricing recommendations. An example of a company using dynamic pricing is Amazon, where data is updated 2.5 million times a day thanks to artificial intelligence mechanisms, so the price changes on average every 10 minutes.

Artificial Intelligence at iTizzi – Kiev, Vinnytsia

Artificial Intelligence is helping to achieve a great competitive advantage in the e-commerce industry. Moreover, now even small companies can afford to take advantage of its opportunities. We also use it, and we implement projects aimed at introducing and supporting AI, machine learning, which help to manage multichannel sales. Soon, artificial intelligence will predict sales trends and, if necessary, signal possible anomalies. All of this will help you make smarter decisions when managing your online store. Do you want to know more? Contact us. iTizzi, Odessa, Dnipro will develop for you complex IT solutions for a successful Internet business.