Visual data is the language of the universe; our mission is to translate it.
In the orchestra of data, AI is the conductor turning chaos into harmony.
Every pixel is a piece of the puzzle; AI assembles the picture.
Data is the ink, AI is the pen, together they write the future’s narrative.
Just as a lens clarifies an image, AI illuminates the hidden patterns in data.
AI doesn’t replace human vision, it augments it, opening eyes to unseen possibilities.
How to use
Our support features are designed to meet the specific needs of the product line, providing convenience and reliability for customers.
The app stands as a comprehensive tool for field agents, enabling real-time data collection and swift, informed decision-making. It’s designed to balance user-friendly features with reliable outcomes, meeting all field requirements efficiently.
With SM Visor, the recognition outcome is not merely data but a coherent photograph of the entire shelf. It gives you an encompassing view of the store and the confidence in the system’s quality.
SM Visor keeps an automatic record of more than ten potential intentional or unintentional errors an agent could make at a point of sale, ensuring that the results align with the reality. A category cutoff, for instance, could distort the results.
This feature empowers the agent to edit the photo by removing any unnecessary parts that may have been captured in the shot, ensuring a clean, uncluttered image that focuses solely on the essentials.
Our product, aimed at bolstering your business, comes with a promise of significant improvements. We present a detailed, step-by-step walkthrough of its functionalities, allowing you to swiftly appreciate its impactful benefits.
The agent chooses the appropriate scene for capturing the photo.
The agent takes one or more photos following the established guidelines.
The agent can review, delete, or replace the images taken using the app’s gallery feature.
The agent can crop out any unnecessary parts of the photo, keeping only the most relevant sections.
The agent can manually replace the products recognized by the system, with the changes subject to moderator approval.
Advanced algorithms combine numerous images to form a complete visual of a scene or category, dramatically increasing data trustworthiness.
Once the photos are organized, the agent submits them to the server for processing and recognition.
After processing, the agent receives the recognition results and analytics based on their KPIs.
We’ve gathered the most frequently asked questions about our solutions and provided answers below. Feel free to get in touch if any other questions arise.
SM Visor has two main features:
Recognition accuracy is at least 95% for a pre-agreed list of products, achieved after the full system training period (approximately 2 weeks).
It takes an agent several seconds to a few tens of seconds to complete a photograph in one scene, depending on the size of the category or shelf to be photographed.
The primary benefit of SM Visor integration is that management decisions are based on verified and high-quality data, allowing for targeted actions (from personnel management to changes in the layout at a specific point of sale). Targeted work with insights leads to increased sales through territory expansion, team optimization, and increased discipline, as well as the potential to reallocate resources from certain programs to other clients.
The duration of implementation depends on various factors (team size, number of products to be recognized, etc.) and is calculated individually. To receive personalized advice, please submit a request on our website, and our representative will contact you.
By consistently offering best-in-class solutions and services, the aim is to redefine industry standards.
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