Overview of TAdviser: IT in trade and logistics
Main article: Overview: IT in trade and logistics
10 technology trends in retail for 2020
Virtual and augmented reality suggest retailers several methods to improve customer service quality. The expanded reality, from viewing directories before "fitting", is already used by many retailers. In the future the expanded reality will allow consumers to share experience of purchase in virtual reality with friends.
Predictive analytics (Big Data)
The retail organizations never had problems with collecting of a large number of data, but their analysis was complicated. The predictive analytics changes the market: now retailers can actively influence the future, analyzing a consumer behavior and trends from the past. Having successfully analyzed data, retailers can personalize shopping process, satisfy needs of consumers depending on where they are, to increase efficiency and to reduce costs.
Any user of Google expects to find that it is necessary for it at present, allowing the searcher to foresee its interests and to expose results according to them. Retailers who are guided by the same principle of preguessing of desires have huge advantage. Thanks to direct digital access to consumers and powerful analytical opportunities, the enterprises can foresee that can be necessary for the client and respectively randzhirovat search results.
Other powerful technology tool for retail sellers are mechanisms of recommendations which help buyers to find things which those did not even guess. The more data in algorithms for assessment of behavior of behavior, the it is better than the recommendation. Thanks to such systems retailers receive double benefit: from sales increase and from increase in satisfaction of buyers.
Automation of accomplishment of orders
It is supposed that by the end of 2025 in warehouses more than 580,000 independent mobile robots who will complete customer orders will be used. Automation can reduce order processing time considerably. Many retailers try to increase thus the speed and flexibility of transactions to compete with Amazon.
Recognition of the person
The sensing technology of persons helps retailers to fight actively against thefts in shops. Besides, such technology can provide the personalized approach to the buyer. Certainly, in that case there are legal issues concerning confidentiality, but it will hardly stop retailers.
The automated warehouses allow to optimize control of stocks. Intellectual robotics and computer systems reliably store data on all products which are available online in real time. These exact data help retailers to manage goods flows and to do reliable forecasts.
Robots can answer questions and help buyers to look for goods and also to send special offers or coupons by e-mail. Such robots are already used, for example, in shop of goods for the house of Lowe's there is LoweBot which helps to service clients.
Chat-bots of clients
In retail trade chat-bots for customer service quickly are implemented. Message exchange became the preferable channel for contact with consumers: they help clients both to, and after sale, improving sales and helping clients to solve problems without intervention of the person.
Thanks to the available amounts of data and opportunities of their processing the personalized approach to the buyer, and the intelligent equipment is provided, such as the sensors which are built in cabinets, change approach to inventory.
As mobile application can help retailers to win war for the client
Increase in business performance and the state using technologies – the main objective which is set for itself by our country. Active implementation of new IT solutions became one of the main trends for modern retailers. At the same time need of compliance to the changing customer needs forces to monitor innovations. What technologies give the maximum effect? To what innovations and the ideas it is necessary to pay attention? Answering these questions, the Omega-R company presented the application allowing to build automatically the qualitative and long relations between partners (B2B) and clients (B2C). Told about it during the performance on May 29, 2019 on TAdviser SummIT Rustam Fatykhov, the project manager of Omega-R in more detail.
What technologies are used by traditional retailers not to lag behind online rival
At the end of May, 2019 the CEO of Pensa Systems, producer of drones for retail, Richard Schwartz explained what technologies are used by traditional retailers not to lag behind online rival.
Recently retailers look for more effective methods of automation of activity in shop without considerable costs. Historically it developed so that the supply chain (from warehouses to distribution centers and retail stores) was rather controlled, now it changes actively and reduced thanks to online trade. Traditional shops it is in certain cases more convenient for the buyer, but they require labor-consuming service. Robotics, nonaggressive and available at cost, is one of methods of redistribution of labor power in traditional shop which allows to pay more attention to the buyer and to refuse more boring and tiresome activity, such as search of goods among warehouse stocks.
The drones used in retail trade – only top of an iceberg of the huge system including AI and machine learning. The drone has low cost, it is easy to prepare it for work and it is capable to move to any part of shop almost instantly. Moving along warehouse shelves, the drone is capable "consider" objects from the different points of view, replacing up to 100 fixed cameras. Such mechanisms allow to distinguish more precisely goods, than normal stationary cameras or even land robots. The drone will not recognize the image, this operation is performed on "periphery" of network or in the shop, or in a cloud. It allows to scale the system of recognition and image processing, using the identical mechanism of training for large network of deployment.
Machine learning which is capable to distinguish goods on the shelf in process of promotion of the drone is the cornerstone of such AI system. Natural variations of products on the shelf allow to continue constantly training, doing a system it is more smart and more reliable. Besides, an important part of training of an AI system is that she studies the organization of a warehouse, watching changes and certain trends of replenishment of goods. Thus, a system models the maintenance of the shelf and necessary product assortment. Proceeding from it, it is capable to reveal automatically different deviations, such as lack of goods, stock depletion, the wrong placement, etc. At the same time optional handbook data which it is frequent are not required for a system or are unavailable, either are simply incorrect, or are absent.
Such form of autonomous perception when the AI system studies by visual observation as the person, can be used in full range of services – for example, for assessment of a status of products on the shelf, identifications of leak of liquids, problems with temperature or other equipment, etc.
Drones exceed land robots on many aspects. Electromechanical robots big, bulky, expensive also cannot work without control from people that can cause additional problems in terms of reliability. The most important, they cannot still provide the adequate overview of all shelves and stock. From air drones can see practically everything from the different points of view, and they can be redirected to different parts of a warehouse quickly. The fixed cameras and "smart" shelves (in Amazon Go style) can be effective in certain cases - at potentially high capital investments and tough building of physical infrastructure. The drone is much cheaper, it is possible to configure it less, than in 2 hours, its use is more exact and effective remedy of assessment of stocks. Nevertheless, the combination of drones, stationary cameras and land robots will become the final decision for retail sellers and all supply chain for certain.
Question of whether retail stores will be completely automated as Amazon Go, causes a set of discussions. Amazon Go uses a set of intelligent sensors, ceiling cameras and other detectors to automate both order placement, and assessment of available goods. In the future it can become the most practical option for small shops and the automated booths (for example, at the airport or for self-service of employees). But hardly such system will be applied in large retail networks with more various inventory. Retail stores in general turn into the logistic centers. Amazon Go will find the best application in automation of cash transactions, but not in inventory or a supply chain.
Other industries, undoubtedly, can also benefit by use of own drones. Training of independent unmanned aerial vehicles for identification of errors in the closed spaces finds application in all directions – on all supply chain, on production facilities and at office. In fact, the automated visual control, machine learning, image understanding and orientation in space using the independent camera / sensors already finds broad application. Autonomous perception can be provided as the system of indexation of the physical world eventually which is capable to reveal the expected and sudden changes.