Smart retail — those retail outlets that use data and automation for better decision-making and store operations — can provide retail managers with insights and help them unlock efficiencies that enable better customer service and improve revenue potential. 

Smart retail uses data and technology to upgrade customer service and achieve operational excellence in supplier and logistics, assortment and category management, store layout and workforce optimization, customer loyalty and marketing, and selling.  

What’s the Difference Between Smart Retail and Traditional Retail?  

Retailing is still a labor-intensive industry ripe with opportunities for optimizing the path from manufacturers of a product to that product being purchased by a consumer from a retailer. Worldwide, retailers lose nearly $450 billion in revenue annually because of out-of-stock items, empty shelves, and other in-store inconsistencies. 

Brick-and-mortar stores have always struggled to find, train, motivate, and schedule personnel to perform a variety of labor-intensive, repetitive tasks of keeping the shelves stocked and forecasting customer demand to keep inventory orders smoothly flowing. This challenge has been made worse by the negative effects of COVID-19 on the labor market and the supply chain. 

Stocking shelves on time (to avoid out-of-stock situations and sales losses) and keeping price labels accurate is not easy. With around 50,000 stock-keeping unit (SKU) labels in an average-sized hypermarket, the task of efficient inventory availability in traditional retail is typically tracked by cash register checkouts. Price accuracy and inventory solutions mostly rely on manual price audits by store staff. 

Retailers have been experimenting with some degree of automation and digitization for some time. Some have implemented electronic shelf labels (ESLs) and cameras that monitor store on-shelf inventory, with various success rates, as functionality issues (battery lifespan, tedious device replacement) and vendor lock situations persist.  

New advances in AI, neural networks, and edge computing made available recently are powering experimentation with autonomous and semi-autonomous robots that promise to make retail even smarter. By helping employees be more efficient and reducing the time for inventory and price accuracy checks by 2/3, retailers can collect digitized data, analyze it with AI with unprecedented accuracy, and apply data analytics for improved insights. 

What Are Some Benefits of Smart Retail? 

Smart retailers don’t just replace manual processes with automation but implement electronic inventory files, digital price labels, advanced camera solutions, and inventory forecasting software to replace analog store management heuristics and tools. Digital tools are poised to help shift from a regular store to a smart store — one that not only collects siloed data but also analyzes it in near real-time to provide valuable, timely insights. 

Smart retail technology benefits not only store owners but customers, and potentially even suppliers in the following ways:  

Smart Retail Benefits for Store Owners and Management 

The biggest three operational efficiency wins for the store owners, and management are:

1. real-time actionable inventory data;

2. significantly improved price label accuracy; and

3. better planogram compliance. 

While most retail inventory forecasting software relies on product checkout data provided by the cash registers, such data will not be available if the product is not on the shelf. Store cameras can help monitor inventory, but only the advanced camera systems combined with powerful AI that can identify store items with 99+% accuracy will be useful. Thankfully, solutions like that have been recently introduced on the market. 

With up to 200 price labels per square meter on a typical shelf, checking and verifying price labels for accuracy is tedious and error-prone. Luckily, this is just the perfect task for smart automation, powered by the same advanced cameras and AI that help with inventory detection. 

Even more so, that same hardware can detect SKU shelf placement inconsistencies and direct human operators to make the needed corrections on the spot. 

To be fair, training and reimagining business processes around newly possible operational tasks do require an upfront investment. Still, the benefits are felt immediately, yet most smart automation projects deliver a positive ROI in twelve months or less. An additional benefit is a reduced likelihood of missed scheduled price and inventory checks, an important consideration given that most retailers can increase revenue by up to 10% with optimal operations efficiency, assuming suppliers can resolve inventory bottlenecks.   


Smart Retail Benefits for Suppliers  

Retail suppliers potentially have much to benefit from more accurate data on promotion-related sales figures and promotional items being placed appropriately, as they usually have to send representatives to gather some of this data in-store. Automating planogram and inventory status updates have potential, but so far, data sharing is still a contentious issue. 

Increasing operational efficiency at the store level can also help optimize deliveries and share quantity, frequency, and forecasted demand based on real-time inventory data thanks to decision-making powered by AI algorithms that provide more accurate forecasting and actionable insights.  

Smart Retail Benefits for Store Staff  

Not to be overlooked are the benefits to the employees at retail stores that deploy AI and robotics to automate previously tedious, time-consuming tasks. Using smart detection of price, inventory, and planogram issues allows store employees to refocus on higher-value tasks that require knowledge and talent. By taking care of drudge work with automation, performing required operational tasks faster, and removing error-prone business process steps such as converting paper notes into digital reports, smart retail stores can allow staff to focus on interacting with customers for a better in-store experience. 

Smart Retail Benefits for Customers  

While operational improvements (on-shelf inventory availability, price accuracy, planogram compliance) mostly benefit the store owners and managers, bringing retail closer to the goal of consistent, high-quality service is also more feasible with automation. While AI-enabled robotics assist staff on the shop floor, more time and resources will now be available for customers needing attention than without intelligent automation. Robots are better at tedious tasks, and varied, unpredictable customer service work is still better done by human staff. 

Smart Retail Operations with ERIS

Supporting efficient, intelligent retail operations practices, ERIS – the semi-autonomous retail robot - delivers more accurate and faster in-store inventory and price accuracy reviews.

ERIS is powered by an advanced AI platform, allowing edge computing for intelligent image processing, image recognition, store staff messages, and parallel processing. The semi-autonomous robot can deliver high AI computed performance right when needed to achieve real-time processing and aggregation of large volumes of data.

The core computation tool in ERIS allows the semi-autonomous retail robot to process high-resolution images captured on high-performance, industrial-grade camera modules on the device and run image recognition algorithms over neural networks. This edge computing tool, consisting essentially of a series of mini-computers with CPUs and GPUs, enables parallel processing that’s crucial to run efficiently.

ERIS runs four depth (3D) cameras and four RGB cameras. With the six modules on board, it can run models for multiple concurrent tasks like image inference, displaying actionable information, for the operator, on the touchscreen, and operating the price label printer. This ultimately provides accurate, real-time snapshots of the store shelves no trained human operator could ever hope to achieve at the speed and the level of detail ERIS can.

Real-time panorama shelf scan generated by ERIS

How Can I Make My Brink-and-Mortar Store Smart?  

What are the steps supermarkets need to take to start using ERIS? Preparation, time to install, training, best practices? 

Running a smart store (for example, a hypermarket) requires an entire ecosystem of hardware and software solutions working harmoniously with existing store technology infrastructure and operating processes. To accelerate and improve performance, every application, device, sensor, and AI model in the system must share data and insights across the store and with its network partners. 

That said, integrating a solution like ERIS takes from one to three months. Shifting the approach to price and inventory management will surely make some people reluctant, but when performance and operational excellence are a priority, those will be the environments that will welcome the coming generation of smart supermarkets. 

Robotics is the natural language for Adapta. This is why we are excited to bring our smart retail robot ERIS to the Start-up Hub at EuroShop 2023! 

Held in Düsseldorf, Germany from February 26 to March 02, EuroShop 2023 is a world-leading retail trade show. Retailers from all over the world and industry service providers will be exchanging experience and inspiration for their vision of the future of the retail industry. Naturally, Adapta will be presenting ERIS, our semi-autonomous smart retail robot that is safe, easy to use, and is already tested by one of the world’s leading retailers in Europe for automating out-of-stock identification, preventing shelf price errors, building shelf panorama view including product and price positioning, and more.  

There are several opportunities available for learning more about ERIS and for gaining retail automation insights from the Adapta Robotics team. 

Stop by the Adapta Booth and See ERIS 

Adapta Robotics is exhibiting at the Startup Hub zone and will be showcasing ERIS, the retail robot. Visitors can see the interface, video demos of ERIS operating inside a store, and meet our engineering team. You can find us at: 

Hall 5 (Retail Technology) 

Stand 19/27 (map) 

If you have not yet planned your visit, reach out to us, as we have a limited number of complimentary one-day EuroShop passes available on a first-come, first-served basis. 

Watch our Startup Hub Presentation 

The Lead Robotics Engineer of Adapta and our Co-Founder Diana Baicu will take the stage to talk about how the idea of ERIS originated, how the current version of ERIS evolved, and our future plans for new features of our smart retail robot.  

Presentation Topic: Reinventing Modern Retail: Creating ERIS the retail robot, a one-stop retail automation solution 

Where: Hall 5, Start-up Stage 

When: 27 February, 2023 15:00 – 15:30 

Follow the Presentation link for more information and to add the event to your calendar. 


Join us at the Tech Talk Panel

Our CEO and one of the head engineers Mihai Craciunescu is joining three other technology opinion leaders to discuss the existing and emerging technologies with the most potential to be applied to various in-store use cases.  

Where: Hall 5, Start-up Stage 

When: 1 March, 2023 14:00 – 14:30 

Follow the Panel Discussion link for more information and to add the event to your calendar. 


Take the Innovation Tour 

EuroShop is offering Guided Retail Technology Innovation Tours for visitors of the exhibition, which have become very popular among international retailers who want to learn about the latest innovations in retail technology. Adapta Robotics booth has been included in the tour stop and will be among the 8-10 selected vendors providing a 5-minute presentation of the latest innovations, followed by a Q&A session from the audience. Tours in German and English language are available. 

These are the scheduled tours announced for EuroShop 2023: 

Sunday, 26 February 

Tour in the English language, starting 14:30 - arrival at Adapta booth at approximately 15:25 

Tour in the English language, starting 16:30 - arrival at Adapta booth at approximately 17:25 

Monday, 27 February 

Tour in the German language, starting 10:30 - arrival at Adapta booth at approximately 11:25 

Tour in the German language, starting 12:30 - arrival at Adapta booth at approximately 13:25 (special tour for German retailers from Hesse and North Rhine Westphalia) 

Tour in the English language, starting 14:30 - arrival at Adapta booth at approximately 15:25 

Tuesday, 28 February 

Tour in the German language, starting 10:30 - arrival at Adapta booth at approximately 11:25 

Tour in the English language, starting 14:30 - arrival at Adapta booth at approximately 15:25 

Wednesday, 1 March 

Tour in the German language, starting 10:30 - arrival at Adapta booth at approximately 11:25 

Tour in the German language, starting 12:30 - arrival at Adapta booth at approximately 13:25 (special tour for German retailers from Hesse and North Rhine Westphalia) 

Tour in the English language, starting 14:30 - arrival at Adapta booth at approximately 15:25 

Thursday, 2 March 

Tour in the English language, starting 10:30 - arrival at Adapta booth at approximately 11:25 

Tour in the German language, starting 14:00 - arrival at Adapta booth at approximately 14:55 

Tour participation is free of charge for visitors. If interested in attending, reach out to us for the contact details of Joachim Pinhammer, the organizer of the Innovation Tours. 

Book a Meeting with the Adapta Team at EuroShop 2023 

Fill out the contact form below to schedule a meeting with our engineering team at the event! Retail leaders worldwide have already embraced or are testing the newest robotics technology to improve operations, increase efficiency, and improve customer satisfaction. We welcome Automation and Technical Innovation leaders, Distributors and Consultants to the Retail Industry, and Investors interested in robotic store operations automation. 

See you at EuroShop 2023! 


This article taps into discussing problems met by retailers and ways in which they can be solved using robotic automation. Firstly, the industry’s problems will be outlined, follow by exploring the existing solutions.

The Causes of Ongoing Problems for the Retailers 

Brick-and-mortar shopping is regaining traction after the digitalization of everything during the pandemic, and, with it, retailers’ preoccupation with operational efficiency and increase in customer satisfaction. Online retail might seem to have the upper hand but what often fails to be mentioned is the value that consumers put on in-store purchases with 54% of consumers declaring that they’d rather check the product online and buy it in-store. 

Convenience and the ability to browse, feel, and touch the products define a satisfactory shopping experience for more than half of the shoppers. What happens when the retailer doesn’t have what they want? Due to inconvenience caused by price and product quality (including in-store presence and display), as many as 97% of consumers abandon their purchase journey.  

A store’s success depends on how retail operations work towards customer satisfaction, and convenience while alleviating staff’s frustration with repetitive, monotonous tasks. 

Although composed of a plethora of activities, from a customer’s point of view, retail store operations are equivalent to what they see: prices, promotions, products on shelves, queues, and checkout waiting time. The mechanism of retail operations concludes in-store, in front of the shoppers, and what they see is what defines their shopping experience perception.  

Retailers see in-store inventory and price management in need of optimization and improvement to deliver the convenience customers are asking for. Both factors bring their own issues to the table, and solutions for them are not shy to appear, but do they provide substantial enough results to justify the investment?  

Sources of the Retailers’ Price Accuracy Issues 

To enhance the drive of additional business, retailers practice competitive pricing, sales, and promotions. The functionality of these methods relies on the accuracy of the information that gets to the customers, in this case, the shoppers that read the shelf displayed labels.  

Taking into consideration that for consumer-packaged goods (and especially retail) prices tend to change frequently, labels displayed in-store need to adapt as fast as the modifications happen. Failure to present accurate pricing and promotions inconveniences customers’ buying journey. In correlation, shopping experiences poisoned by the inconvenience of inaccurate labeling lead to loss of business, which is never desired.  

Retailers have the responsibility to monitor if products are precisely named, marked with the correct price or if the right promotions are applied. Each label must be verified against the store’s price and promotions database. Such processes are defined by repetition and monotony, heavily relying on staff, an excessive amount of time to be finalized and continuous implementation. 

Sources of the Retailers’ Inventory Issues 

Building a favorable environment for customers to navigate the store drives sales growth by delivering a comfortable, convenient shopping experience. By manipulating a store’s space through display planning, technology, lights, and color, retailers attract buyers’ attention while facilitating their journey.  

Visual merchandising responsibilities have products as central elements. In-store organization and shelf display strategy are reliant on trends (either a shift in or new discoveries), brands’ product placement preferences, and shopping patterns. To keep the store environment compliant with product placement strategies, retailers require good understanding of the store’s condition and updated information about the on-shelf availability of products.  

Stock and inventory management goes beyond a retail store’s backroom and extends in front of the customers, on shelves. It is a multi-level process defined by a long communication chain that is prone to errors and delays. More than ordering and restocking, issues of the supply operations target trends and patterns, data collection, demand forecasting (dependent on store data), on shelf stock condition monitoring (misplacement, clutter, missing).  

Having overviewed the price and inventory issues retailers confront with, let’s explore existing robotic automation solutions available to retailers for their correction. 

Solutions Available to Retailers 

Solutions that solve problems of the supply chain are starting to get to the heart of the retailer. Even though they approach shelf gap detection and in-store inventory data, monitoring on-shelf availability needs a more robust solution that tackles these issues holistically.  

The retail automation market is extensive. Aside from manual audit (which will not be approached in this article since it becomes ineffective and limited in the context of retail automation’s growth), three solutions seem to be under retailers’ consideration more often than the others. 

Technologies such as Electronic Shelf Labels, to maintain price accuracy, and retail shelf-mounted cameras, to track product availability, are currently being deployed to physical stores to boost operational efficiency. Although popular, they represent an incomplete solution for the formerly mentioned challenges.   

As follows, ESLs and retail shelf cameras, autonomous and semi-autonomous solutions are analyzed, presenting their benefits and shortcomings.   

Electronic Shelf Labels as a Solution for In-Store Price Inconsistencies 

Electronic Shelf Labels (ESL) are small units using e-Ink paper to display product data from price and name to stock availability or applied promotions. Being updated wirelessly and automatically from systems that centralize product information, ESLs serve retail operations concerning on-shelf price conformity.   

To populate a supermarket-sized perimeter with smart labels, a retailer must invest in thousands of individual shelf-placed units. Abandoning old paper methods has increased the accuracy of the displayed prices, bringing some efficiency to time-consuming processes.  

In-store prices are timely updated, and the perception is that they are more correct than ever. However, ESLs have replaced repetitive tasks with others of the same nature. Labels are not scanned by hand, but that doesn’t prevent malfunctions of the electronic price tags. The printing and individual placement of paper tags is changed with a tedious battery or device replacement process (since ESLs battery lifespan is no longer than one year or two). Electronic labels’ market growth is not indifferent to those hiccups since it is slowed down by difficult installation operation and expensive infrastructure costs. Additionally, as the store integration process of ESLs is highly dependent on the company they’ve been acquired from, so is the maintenance process.  

To have smart labels under care requires not only supervising price display but monitoring the whole operation behind it. This translates to the staff being reliant on lengthy training sessions and the acquisition of technical knowledge necessary for the operation of ESLs. As seen by retailers, the only way in which the utilization of electronic shelf labels is justified (bottom-line the benefits delivered and ROI point of view) is when they bring to the table additional use cases. Hence, as a self-standing solution, it doesn’t seem to be fully convinced of its efficiency.  

Even though providing a more accurate display of information, malfunctions at the level of individual tags still need to be noticed in time and solved individually, taking a step back towards manual audit. Still reliant on a long interdepartmental communication and on the store staff’s reaction to resolve detected issues, it stimulates misinformation risks and associated delays in action.  

On-self availability refers to the products available to be purchased from a store, by customers at a given time. It is more complex than is believed as its status is affected by multiple factors along the supply chain, including out-of-stock situations, phantom inventory (product is out of stock but appears as existent in inventory systems), and product voids (items are approved but have nonexistent shelf tags and inventory). To monitor levels across the supply chain, retailers have slowly moved from manual audits to solutions based on artificial intelligence and computer vision. One of those solutions is retail cameras for on-shelf availability. 

Shelf Camera Features for Monitoring for In-Store of Stock Inventory / OSA 

Cameras are mounted on either side of each retail store aisle, capturing the entire ensemble of shelves and products in front of them. With a low operational cost, retailers can attain real-time monitoring of their stores. Although promising the delivery of hourly data for the whole stock-keeping unit, retail camera manufacturers are solving only half of the problem. Passive monitoring of OSA does not refill shelves, solve labels’ accuracy issues or their replacement. 

From an operational point of view, shelf cameras do an excellent job when it comes to product and stock detection, compliance with product placement strategies, and data collection (inventory updates, shopping patterns). However, with shelf gaps being only one side of the problem, the retail shelf cameras build to high expenses and reliance on long communication chains prone to human error.  

To define their utility, the advantages and disadvantages of their functionality are underlined. On the one hand, shelf cameras avoid image blurriness by being stationary; on the other they are easily impaired by external elements that can block their view (abandoned shopping carts, boxes, and pallets, clutter). 400 cameras dispersed around a 30k sqm surface offers permanent access to shelf view across retail stores. However, maintenance processes and costs for hundreds of devices do not justify the need for total, constant surveillance of products. The surge in product demand remains unpredictable and concentrated under the peak traffic periods of the shopping day or promotional campaigns.  

Retail OSA cameras require not only installation procedures that are lengthy and costly, but also dependency on the manufacturer across maintenance processes. From cables and mounting supports to network administration, and overall system setup and integration with the retail store, shelf cameras introduce supplementary tasks for which the staff needs to be rigorously trained. Video analysis needs to be performed both by cameras and designated staff for the relevant data to be filtered (i.e., distinguish people from other objects, clutter on shelves). 

Having its focus only on-shelf availability and out-of-stock situations, shelf cameras are a solution that, although popular, still struggles to have its cost versus benefits validated by retailers. Complex integration processes and long adjustment timeframes for retailers and staff to operate the new system contribute to the impeded adoption growth of OSA cameras. Additionally, retailers must be ready for a considerable commitment upfront and ongoing, as they are indirectly forced into vendor lock (training, store integration, updates, and maintenance are dependent on the manufacturer of the solution). They need to be prepared for changes brought to the store’s infrastructure, already implemented software and solutions, and a different way of operation and specialized workforce demand. 

ESLs and shelf cameras are solutions dependent on human intervention, relying on interventions subsequent to the reported data. Hence, development in retail automation has taken a giant leap toward solutions that aim to function without the need for human help.  

Covering both price and inventory issues, autonomous robots have brought a new level of efficiency to in-store tasks as well as new problems and complexities that retailers have not been prepared for. 

The Complicated Transition to Autonomous Solutions 

Some retailers have abandoned a gradual transition to the automation of retail operations and have jumped straight to autonomous aisle roaming robots. Autonomous robots scan stores for price tag inconsistencies, on-shelf inventory, and stock issues. In the last couple of years such robots have gained both in popularity, yet generated their own concerns. The solution has been put to question, its utilization causing trouble in retail stores and not delivering the expected results. Consumers have had trouble adapting to the self-roaming robot attacking, getting scarred by or being hurt by it 

Although bringing efficiency to OSA and price tag detection-related tasks, in-store problems are still not solved in their integrity. Issues are detected and signaled but to actually replace a price label or replenish on-shelf stocks are actions still dependent on long, error-prone communication chains. ROI issues, and high acquisition and maintenance costs, together with registered malfunctions, make retailers question fully autonomous solutions. 

Building bridges between solutions that are outdated, incomplete, and heavily reliant on staff intervention (ESLs and shelf cameras) and the farfetched, costly autonomous robots, semi-autonomous robots are collaborating with humans to deliver the best of both worlds.

Semi-Autonomous Robotics Solves Multiple Problems  

With the aid of a human operator, a semi-autonomous retail robot completes activities linked to in-store inventory. Pushed through the store's aisles to identify price label inaccuracies and gather data on the OSA status, it generates real-time scanning results.  

The workforce required to execute tedious retail operation tasks is reduced to one staff member who oversees guiding the robot along the aisles and reviewing the output results of scanning sessions.  The same operator can take action to resolve or communicate in-store pricing mistakes or out-of-stock issues. 

Most problems found during scanning can be resolved immediately, reducing the danger of misinformation or action delays by reducing the need for interdepartmental contact. Being semi-autonomous not only offers the advantage of being user-friendly (no specialized staff needed) but also more cost-effective than other solutions. The thing it needs most is to be brought from the charging station to the designated scanning start point. 

Introducing ERIS, the Semi-Autonomous Retail Robot 

ERIS completes the functionalities of shelf cameras through additional capabilities and use cases that treat OSA issues globally, not partially. By being able to detect and scan both paper labels and e-ink electronic tags, the semi-autonomous robot makes the task of monitoring labels, including ESLs malfunctions, easier. As the shelves are scanned, when price tag issues are detected, the operator can print the correct labels and replace them on the spot or send alerts about the electronic tags that need to be updated. 

Encouraging the advantage of on-the-spot problem solving, ERIS gets rid of issues caused by long communication chains while being effective in resolving both price tag inconsistency and OSA issues. In perspective, the semi-autonomous robot eliminates risks and concerns brought by its fully autonomous competitors while being a more complete solution than electronic shelf labels and shelf cameras. Additionally, ERIS not only offers a better ROI, but it is also easy to integrate, maintain and get accustomed to solutions.   

Robotic Store Automation Takeaways for Retailers 

In-store pricing accuracy and on-shelf inventory issues are on top of retailers' minds when it comes to delivering convenience and satisfaction to customers. ESLs, shelf cameras and autonomous robots have been overviewed as some of the most popular solutions considered by retailers. However, they have their shortcomings when comparing the delivered results to the overall investment.  

Solving both price inconsistencies and inventory issues, store robots have been created as a single unit roaming around in-store aisles. This eliminates the trouble of having to monitor hundreds of shelf places units, reduces maintenance time and minimizes the store changes brought through their integration. A smooth transition towards retail automation are semi-autonomous robots, that work with human staff to solve price and inventory issues as efficiently as possible while promoting on-the-spot problem-solving. 

The necessity of retail automation has long been present. From the classic hand-held barcode scanner - adding mobility to physical retail stores’ inventory process - to the autonomous robots that roam around aisles scanning price tags and detecting on shelf availability, there have been solutions created to bring efficiency to in-store price error identification and inventory management processes. However, it seems that neither solution actually fits the conjuncture of retail industry today, nor puts retailers’ or their staff’s worries at ease.

Two already known solutions

Heavily reliant on human staff, hand-held barcode scanners are a low-price solution that equips store staff with the ability to quickly scan barcodes individually. Although they bring higher accuracy and easiness in solving tasks, with the industry’s perpetual growth, barcode scanners are slowly falling behind the real-life retail necessities.

On the other hand, the autonomous alternative, robots that are scanning entire shelves faster and with higher accuracy than any other previous solution, is being brought into the retail industry spotlight. They send in-store collected data regarding prices and OSA to a database from where the store’s staff can act towards solving the discovered issues. Even though it offers instant reports on store status, solving the problems is, nevertheless, reliant on a good communication between departments, leading to misinformation risks, dependency on store staff’s reaction to resolve detected issues and associated delays in action.

From the two described retail solutions, the latter is unmistakably more efficient, and by far the most expensive. It brings on the table technologies that still seem hard to grasp by most retailers and that are worrying store staff members under the belief that they’ll be replaced.

A solution for today's retail necessities 

ERIS is the retail robot that completes in-store inventory related tasks with the help of a human operator. Driven around the store’s aisles to detect incorrect price tags, to recognize out of stock or soon to be out of stock products, ERIS generates its scanning results instantly as:


Although, still dependent on human input, the needed workforce to complete redundant tasks is lowered to one person responsible of navigating ERIS through the aisles and analyzing output results of scanning sessions. The same operator is enabled to print and replace price labels right then and there, as well as to act upon solving or communicating out-of-stock situations in order to be solved. Working with ERIS decreases scanning time to under 5 minutes per aisle, overtaking the efficiency of hand-held barcode scanners and matching the one of autonomous systems. This allows store staff to be free of repetitive tasks and, instead, gaining the opportunity to focus on more important matters, essential to improving the overall store efficiency.

ERIS is not heavily dependent on interdepartmental communication as most discovered issues can be solved on the spot, hence lowering the risk of misinformation or delays in action. Being operated and not fully autonomous makes ERIS not only cost-effective, but also a user-friendly solution. In addition, the instantaneous nature of in-store problem solving coming from collaborating with ERIS promotes the increase in customer satisfaction and loyalty, as well as the prevention of sales loses.

The right fit

Between a hand-held scanning solution, the use of which is becoming ineffective as retail needs are progressing, and an autonomous robot that can be intimidating for retailers, both cost and technology wise, there is a middle ground option, less daunting and more budget friendly, adapted to today’s retail necessities. Collaborating with its human operator, ERIS brings efficiency into solving both price tag inconsistency and OOS issues, avoiding customer dissatisfaction or loses in customer loyalty and sales, while lowering risks brought about by lengthy streamline communication and encouraging the advantage of on-the-spot problem solving. Through its underlined capabilities, ERIS is the liaison between the retail industry, and an efficiency and technology focused future.



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