Optimize your shelves with image recognition and automated data collection
In an increasingly competitive commercial environment, efficiency in shelf management has become a key factor for success. Image recognition and automated data collection are innovative solutions that transform the way points of sale are monitored and optimized.
Ailet specializes in implementing these technologies to enhance visibility and real-time product management.
How does automation and image recognition maximize efficiency?
Automation in the management of shelves allows to reduce human errors and streamline processes. By integrating image recognition systems, you can get accurate information about product layout, inventory levels on shelves and planogram compliance without the need for manual audits.
Our platform uses artificial intelligence to analyze images captured at the point of sale, identifying products, prices and promotions with a accuracy of 97%. This not only improves the accuracy of the collected data, but also makes it possible to make informed decisions more quickly and efficiently.
React to the market with up-to-date data and agile decisions
Having up-to-date information is essential to adapt to market dynamics. Automated data collection provides real-time insights into consumer behavior and the effectiveness of merchandising strategies.
"Image recognition transforms shelf management by delivering accurate, real-time data."
The AI of Ailet serves to monitor the availability of products, detect stock breaks in the shelves and evaluate the performance of promotions instantly. This rapid response capability allows you to adjust business strategies proactively, optimizing sales and customer satisfaction.
Key benefits
Image recognition (RI) for intelligent shelf monitoring
Image recognition (RI) is a powerful tool for shelf monitoring. By analyzing photographs taken at the point of sale, the system automatically identifies the presence and location of each product, comparing them with the established planograms.
This technology facilitates the detection of failures in the execution in store in real time, such as misplaced products or promotions not implemented correctly. In addition, by integrating with existing management systems, allows centralized and efficient monitoring of multiple points of sale.
Benefits of image recognition for shelf monitoring
- Real-Time Visibility
Get an accurate and up-to-date view of the state of the shelves at each point of sale. - Automatic Detection of Stock Breakdowns
Identify missing products instantly and avoid sales losses due to unavailability. - Improves Execution at the Point of Sale
It automatically verifies compliance with the planogram and ensures that the products are correctly positioned. - Saving Time and Resources
It drastically reduces the time spent on manual audits and allows field teams to focus on more strategic tasks. - Accurate and Consistent Data
It eliminates human errors and improves the quality of the collected data for more effective decision making. - Price Monitoring and Competition
Capture information from price tags, even from competing products, to adjust trading strategies quickly. - Increased Operational Efficiency
Optimizes routes, visits and tasks of field teams based on information obtained from the store.
Advantages of using on-shelf image recognition
Implementing IR technology in shelf monitoring brings a number of benefits that directly impact performance indicators at the point of sale.
From improving product availability to optimizing equipment operation in the field, IR redefines the way business execution is visualized and controlled.
Increased shelf availability (OSA)
One of the most common challenges in retail is ensuring that the product is available when the consumer needs it. The breakdown of stock on the shelf, in addition to generating sales losses, can affect the perception of the brand and customer loyalty.
Thanks to image recognition, it is possible to detect in real time which products are missing from the shelf. By automating this process, you receive immediate alerts that allow you to react before low stock levels negatively impact the customer experience.
This type of visual monitoring directly contributes to raising your OSA (On Shelf Availability) level, ensuring that the consumer always finds what he is looking for.
Greater operational efficiency with less effort
Operational efficiency is a constant goal and automation plays a crucial role in it. With the use of Ailet's image recognition, your teams in the field can collect key informationsimply by taking pictures with their mobile devices.
From these images, our platform analyzes compliance with the planogram, detects errors and generates automatic reports. This reduces the time spent on repetitive tasks such as manual product counting. In addition, frees up resources for your employees to focus on more strategic tasks.
"Automation and image recognition optimize availability and fulfillment at every point of sale."
Technology becomes an intelligent assistant that works for you, increasing productivity with less operational effort.
Better shelf compliance
Shelf fulfillment refers to the degree to which products are organized according to plan: position, facing, promotions, correct prices. Without a visual and automated tool, detecting errors or inconsistencies can be slow and inaccurate.
When a high level of compliance is achieved, the consumer experience is improved, the loss of sales due to stock failures is reduced, and the investment in trade marketing is protected. In addition, it allows you to run promotions and launches more effectively, ensuring that the products are where they need to be, at the right time.
The image recognition enables accurate audits to be performed in seconds. By comparing the real images with the predefined planograms, discrepancies are identified automatically, facilitating the taking of corrective actions in a timely manner.
This not only facilitates the detection of non-compliance or display errors, but also allows corrective actions to be taken faster. Thus, shelf fulfillment ceases to be a logistical challenge and becomes a competitive advantage driven by technology.
It optimizes data capture and delivers actionable insights at the point of sale for more accurate and efficient retail execution.
Achieve a better use of shelf space with Ailet
A well-used bookcase doesn't just look better: it sells better. Image recognition applied to point of sale management provides great benefits.
It allows to identify opportunities for improvement in the display of products, optimize the distribution of space and guarantee greater value on the shelf. Ailet helps you transform visual data into concrete actions to maximize your profitability per linear meter.
Guide your teams to success in the field
The performance of your field teams is directly related to the quality of the information they receive and the ease of acting on it. With tools powered by image recognition, supervisors and promoters have accurate visual data about the real state of each shelf. This allows them to:
- Quickly detect incidents in the execution.
- Adjust the layout and the presence of product instantly.
- Meet visibility and planogram objectives without relying on external audits.
By empowering teams with clear, actionable data, improvisation is reduced and strategic decision-making on the ground is strengthened. This translates into more efficient visits, better compliance rates and a total alignment with business objectives.
Ailet offers you an intuitive app that provides valuable data to your teams in real time. This makes your daily work easier and raises the in-store execution to a new level of precision.
Make decisions based on real-time data
With our image recognition solution, you get a live X-ray of all your shelves, in all your points of sale. The data collected through the images shows what is happening. In addition, they are integrated into dynamic dashboards that reveal trends, anomalies and opportunities.
This approach allows you to:
- React with agility to changes in consumer behavior.
- Adjust promotional campaigns based on in-store fulfillment.
- Detect patterns of low turnover or excess inventory in certain locations.
and real-time analysis
Conclusion
Optimizing execution at the point of sale no longer depends only on experience, but on reliable data and quick decisions.
Image recognition marks a before and after in shelf management. This allows to improve the availability of products, ensure compliance in gondola and make the most of the available space.
Ailet develops solutions with artificial intelligence designed for the challenges of today's retail. If you want to transform your operation and gain efficiency in your operations, now is the time. We are ready to accompany you on the way. Contact us now!
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