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carlatbahamonde-blog · 4 years ago

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RFID产品：

RFID inlay（RFID inlay标签）

It has the characteristics of low cost, printability, and strong versatility. The label size, antenna performance and surface material can be customized according to customer application scenarios. Mainly used in retail industry, logistics, automobile and other industries, to achieve logistics management and tracking, asset inventory, anti-theft and anti-counterfeiting functions.

Anti-metal label（ RFID 抗金属标签）

The products are 100% tested by the European imported label consistency test system to ensure the stability during use; the label material is soft and can be pasted on the curved surface; the label can be applied to various printers.

UHF RFID Dual Frequency Label（ RFID双频标签）

The combination of RFID+EAS meets the dual functions of loss prevention and asset inventory, and is suitable for terminal stores such as clothing retail stores, chain stores, and hypermarkets.

HF & UHF dual frequency RFID reader（RFID双频读写器）

Equipped with high-performance HF read-write module, with high-sensitivity antenna, the maximum read-write distance can reach 30cm, and equipped with high-performance UHF read-write module, the maximum read-write distance can reach 7m, and the effective range can read up to 200 electronic tags per second ；

• Barcode scanning: Using high-performance barcode scanning engine, it can easily read all kinds of one-dimensional and two-dimensional codes;

• Scanning handle: With a comfortable and convenient professional scanning handle, it doubles the work efficiency;

• Application adaptability: Ergonomic design, fully satisfying the hand feeling, with industrial IP64 protection level, supporting various industrial production applications, and reliable quality;

• Wireless communication function: support GPRS/GSM, 3G, WIFI, Bluetooth and other wireless communication methods;

• Application areas: large-scale warehouse management, transportation and logistics, financial insurance, manufacturing, retail, energy and chemical industry, electric power industry, medical and health industry, parking management, catering and entertainment, port terminals, container freight, etc.

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carlatbahamonde-blog · 4 years ago

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Hangzhou Semo Tech Co., Ltd

www.semotech.cn

公司简介：

Hangzhou Semotech is a retail technology service provider focusing on digital operation and management for retail stores. Our aim is transforming traditional retail store to digital store with intelligent products, like screen/camera/ IOT sensor/ operation system, etc…With intelligent equipment and technology, retail store can not only save cost, effort and space, but also can increase sales and enhance efficiency.

Our main hardware products are touch screen, digital signage, IOT sensing devices, AI visual recognition equipment and edge computing gateways. We also provide software and technical service, like different application that used in screen and store operation service.

Address:

Room 402, Building 4, 176 Zixia Street, Xihu District, Hangzhou, P.R. China

Zip code : 310013

Tel: 0571-56606010

Inquiry email : [email protected]

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carlatbahamonde-blog · 4 years ago

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What are technologies that help in digital transformation of retail industry?

1. Data Analytics

As the retail market is becoming more and more competitive with each passing day, nothing has been more crucial than the ability to optimize business processes when satisfying customer expectations.

Data analytics is nowadays implemented at all stages of the retail process, keeping track of all emerging products, forecasting sales and predicting future demand.

Data analytics can also be used to optimize placements of offers and products via the heat-mapping of customers. Using analytics, customers who are interested in specific products based on their past purchases can be identified quickly and effectively. It helps in finding the appropriate way to handle such customers via targeted marketing campaigns. This is what data analytics deals with.

Following are some of the strategic areas where retail players identify how data analytics can help them drive more revenue and growth to their business

Predict future performance

It is also one of the significant areas when looking into data analytics in retail businesses, as every customer interaction has a significant impact on both existing and potential relationships. Executing the idea without knowing about it entirely can be risky because a wrong decision could lead to a prolonged or quick loss.

Retail players can predict the future performance of different products based on the customers’ existing interests and likes.

Price Optimization

Data analytics plays a crucial role in the optimization of prices. Using different analytics algorithms, you can perform several functions, including monitoring inventory levels, tracking demands, responding to market challenges in real-time automatically and monitoring activities of competitors.

With price optimization, it becomes possible for retailers to determine when to drop or raise prices. Before analytics was introduced, retailers would drop prices after a buying season ends for a specific product.

At the same time, analytics represents that a gradual price drop from when demand starts vanishing would result in increased revenue. The US Retail Stage Stores used a predictive approach and performed some experiments to determine the fall and rise of demand for a specific product.

Demand Prediction

When retailers get an understanding of customers buying trends, they focus on areas that would have high demand. It involves collecting demographics, occasion-based and economic parameters to create a good image of buying behavior across the target market. It helps in effectively managing inventory.

Trends Forecasting

With data analytics tools, retailers can have a better understanding of the current trends of their businesses. Data analytics algorithms can be used to forecast future trends based on buying data. Forecasted trends tell us what needs to be promoted to increase the revenue and what does not need to be promoted.

Picking out the highest return on investment opportunities

Using data-driven intelligence and predictive risk filters, retailers can gain an understanding of their existing and potential customer base. It can help them model expected responses for marketing activities based on how they are evaluated by a tendency to likely buy or buy.

Customer Identification

Identifying customers is also essential in data analytics because it helps in selecting which customers would tend to like a specific product. Due to this, most of the retailers depend on recommendation engine technology, data fetched via transactional records and online and offline loyalty programs.

Data analytics is a proactive approach whereby retail players can use past data to forecast expected sales growth by looking at customer behavior trends. It helps retailers stay on the competitive edge and gain significant market share.

2. Artificial Intelligence (AI)

Artificial Intelligence is being implemented in retail in new ways across the entire service and product cycle – from construction to post-sale customer service interactions. But as a retail player, you will require answers to the following essential questions:

How are retail companies using AI technologies to stay ahead of competitors?

Which AI applications can automate and augment the retail process?

What innovations are considered as potential game-changers over the next ten years?

IBM surveyed 1900 retail and consumer product companies across 23 countries, out of which 85% of retail firms are planning to implement intelligent automation in the supply chain by 2021. Retailers believe that implementing AI can lead to a 10% annual growth.

Let’s understand how AI contributed to digital transformation in retail industry.

Better Customer Service

AI can revolutionize the retail industry by enabling webshops that help retail companies in promoting their products or services based on the customer’s behavior and buying history. It is essential to realize that seamless customer service can help run a business successfully.

AI can help make customer service effective and better by analyzing customers’ data and behavior. Offline stores can also leverage the potential of AI in a number of ways. What if you visit a store and you come across a friendly robot instead of a salesman. Customers can ask as many questions as they want from the robot, instead of talking to a salesman. It ensures the least contact with a human being, ensuring no risk of spread of the infection post-COVID-19 outbreak.

Also, AI-enabled robots will feed the data and analyze it to identify customer likes or dislikes and predict future sales. For example, if a customer is looking for a moisturizer, they can ask your robot for product recommendations based on the skin type. Therefore, the overall experience gets interactive for customers.

Better Data Accumulation

AI can help retail firms accumulate a massive amount of customer data. With collected data, AI can help create a personalized shopping experience for the customers by drawing conclusions. If you have the customer data, you can understand what do they like the most.

It helps create an engaging experience for users based on their likes and interests. Moreover, retailers can forecast how well a product is likely to perform in the market by learning from past experiences.

Virtual Trial Rooms

When shopping to buy an outfit, trying out different apparels can be time-consuming and quite frustrating. Using virtual rooms equipped with digital mirrors, consumers can try dresses without requiring to change again and again.

With a touch-based and gesture interface, a customer can mix and match different outfits, shoes and accessories to select the final look and decide what to buy. It reduces the time that people spend on making buying decisions.

Behavioral Analytics using AI-enabled Surveillance

With modern surveillance equipment powered by CV and AI technologies, retailers can capture and examine customer behavior inside stores. It will help them gain an understanding of customer engagement levels with store layout and optimize operations for higher revenues.

Video analytics can also enhance in-store security and lessen the chances of theft. Using AI, surveillance data can be controlled in real-time and notification can be sent to store owners and administrators for quick action.

Chatbots for Customer Support

AI-enabled chatbots enable retail players to engage consumers. Using chatbots, retail companies can manage thousands of queries simultaneously without needing a large workforce.

Chatbots are designed to answer queries, offer instant support and provide shopping recommendations. With a combination of AI chatbots and human beings, retail brands can handle customers effectively and provide customers with a proper resolution of their problem.

When customers get quick and personalized attention, they get engaged with the brand deeply, enabling improved customer loyalty.

The above use cases are not fantasy, but many retailers have started experimenting with these technologies. AI will be ruling the retail sector by helping brands become more customer-centric in retail operations.

3. IoT

The retail industry is witnessing a rapid transformation with the implementation of the Internet of Things. It is poised to boost sales, increase customer loyalty, provide a personalized experience and enhance inventory management. For the last 20 years, the traditional retail has dramatically transformed, providing companies with opportunities to gather and analyze data and target various channels.

Digital transformation in retail industry may sound great and existing after reading about the above technologies and its use cases within the retail sector. But, the question is how to get started.

As a retailer, you will have to put an effective digital transformation strategy into place that meets the changing demands of consumers and the marketplace.

The easiest and fastest way to initiate and conclude digital transformation in retail industry is to find the right partner. A partner with the technical understanding and the industry know-how can assist you in transforming your business inside and out.

Our team has deep experience in business analytics, IoT enablement, data-driven insights, and user collaboration. If you have any project ideas in your mind but looking for technology expertise, contact our team of experts and we will guide you throughout your journey of digital transformation in the retail business.

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carlatbahamonde-blog · 4 years ago

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What are the challenges in the transformation of retail industry?

Change Management Many departments behave on their own accord, describing and handling their touch-points differently and adhering to different standards and metrics. Transformation menaces the traditional ways of doing things, arousing a self-defense mechanism that holds change.

Moreover, changes in roles create challenges in proving ROI and taking ownership. Therefore, retailers usually have doubts and unwillingness to implement new ways of working.

Commitment In many cases, though initiatives are in progress, they are not transformational enough. Those initiatives just end up being a mobile app or a new website that partially enhances customer experience. Moreover, the commitment to introduce digital transformation in an enterprise goes beyond ideation. It needs leadership level emphasis, an assurance of resources and budget and an ability to follow the initiative with certainty.

Complexity Digital transformation is too complicated for retailers that they cannot handle everything themselves. Though outsourcing can ease the burden, retailers need to choose partners carefully. It requires a partnership of a different kind to co-establish digital journeys for all customers, stakeholders and enterprise entities. The need is to find those digital moments in a retailer’s operational journey and customer experience to establish a transformational impact.

Technology For a complete digital transformation to be successful, the foundation needs to be strong – be it a single view of orders, products, inventory, customers or a scalable architecture to support dynamic changes in the business. Moreover, selecting the right technologies that can bring value is also one of the significant challenges. At the same time, it is essential to take evaluated risks to understand what new infrastructure and technologies would be suitable for an organization.

Despite the above challenges, retailers must embark on their journey after a good understanding of how different technologies can help in digitizing retail businesses and driving growth. Taking a self-assessment can also help identify areas where retailers must focus on becoming digital masters of the future.

Because transformation brings about considerable changes, retailers should have a change management strategy in place. They must build collaborations so that they can leverage the strength of their partners to facilitate transformation and build through leadership.

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carlatbahamonde-blog · 4 years ago

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What are the challenges in the transformation of retail industry?

Moreover, changes in roles create challenges in proving ROI and taking ownership. Therefore, retailers usually have doubts and unwillingness to implement new ways of working.

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