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IMAGE RECOGNITION

The Artificial Intelligence applied to the Point of Sale: assortment, space and promotions

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Digital Audit of Lienal

We transform a photograph into a complete X-ray of your execution at the point of sale.

IA implementada en la gestión del punto de venta
IMAGE_RECOGNITION RI Solution Xpuntocero
AUDIT TIME
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GLOBAL ACCURACY
0 %
IMAGE PROCESSING
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OBJECTIVE DATA
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Challenge: Efficiency and
Reliability
in the Audit

The diagnosis

Manual auditing consumes up to 40% of the sales rep's visit time, reducing quality selling time.

El Riesgo

Manual recording is prone to human counting errors in categories with high reference density.

“By reducing audit time, the field rep can focus on resolving incidents.”

Easy Capture in SGPV
App

Digitization of
SKUs

Real-Time SOS Reports

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Identification of SKUs

Accurate calculation of facings per SKU.

Selling Prices

Extraction of visible RSP for compliance.

Precise Location

Shelf number and coordinates on the fixture.

Out-of-Stock Detection

Estimation of out-of-stock (OOS) among references.

Turning pixels into Master Data

We don’t sell photos. We sell the ability to gain space and secure your brand’s position on the fixture. Our system analyzes the image pixel by pixel to ensure an audit without omissions.

GPV Authority in negotiation

Planogram agreement audit

Comparative central analytics by regions

RI Solution SOS

Monitor dominance against the competition by calculating the area per

EXPOSURE AREA

Millimetric detection of surface brand by brand

AUTOMATIC FACINGS

Instant identification of own and competitor facings.

MDD AND COMPETITION

360° Visibility to curb private label pressure

IMPLEMENTATION ROADMAP

Agile deployment to start monitoring in record time.

01

DEFINITION

Selection of category types and critical SKUs.

02

LEARNING

System training with master patterns.

03

LAUNCH

Official activation within the Field Rep App.

04

EVOLUTION

Management of new releases and continuous improvement.

SECURITY AND DATA OWNERSHIP GDPR Compliance and full client ownership of the visual history.
100% OWNERSHIP
EU SERVERS
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APPLICATIONS: FROM DATA TO ACTION

DAILY POS MANAGEMENT

Optimized tool for recurring data collection, providing a complete view of the shelf in seconds.

Presence

Facings

Shelf Share

Prices

Height

Out-of-stocks (OOS)

PROMOTION CONTROL AND CHECKING

We ensure agreement compliance objectively with total reliability.
We allow incentive or reward payments to be strictly based on actual results obtained at the point of sale.
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Frequently Asked Questions

1. How does RI Solution guarantee 95% accuracy?

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Unlike other systems based on simple object counting, our Artificial Intelligence performs a pixel-level surface calculation. This allows us to measure with millimeter precision not only the number of products but the actual area occupied. The system automatically compensates for optical distortions and capture angles to ensure that the data is 100% objective.

2. What parameters does the general solution audit beyond shelf share?

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The RI general solution is designed to automate the complete point-of-sale audit. Automatically returned parameters include:
  • Identification and Counting: Detection of own and third-party SKUs.
  • Retail Prices (RRP): Extraction of the visible price on the label for compliance monitoring.
  • Location and Heights: Shelf number and exact coordinates on the unit.
  • Gap Detection: Identification of out-of-stocks between references.

3. Is it compatible with my current SFA or CRM?

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Absolutely. RI Solution is a native feature within SGPV, ensuring perfect integration if you already use our platform. Nevertheless, it offers total flexibility through robust APIs to push results directly into your Business Intelligence systems (PowerBI, Tableau) or any other proprietary commercial management platform.

4. How long does it take for the AI to learn a new category?

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Our standard implementation roadmap is 5 weeks. This process includes:
  • Definition of categories and selection of critical SKUs.
  • Loading master patterns.
  • Intensive training phase with real field photos to adapt to lighting conditions and furniture in each country.
  • Official launch after accuracy validation.

5. How are competitor and private label analysis managed?

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The system provides 360º shelf visibility. It automatically identifies both your products and those of direct competitors and distributor private labels (Store Brands). This is essential for monitoring space loss or third-party price variations and activating immediate commercial countermeasures.

6. Who owns the images and the data generated?

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The client maintains total and exclusive ownership of all captured images and the generated visual history. At Xpuntocero, we act as data processors, guaranteeing information isolation protocols and strict compliance with GDPR regulations.

7. What hardware requirements do Field Reps need on their devices?

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For smooth performance (image processing in 20-25 seconds), we recommend:
  • OS: Android 10+ or iOS 12+.
  • RAM: Minimum 8 GB.
  • Camera: Minimum 13 MP and f/2.0 aperture to ensure sharpness even in poorly lit aisles.

Discover our solutions:

Webinar - IA aplicada al PdV

De la mano de nuestro partner tecnológico y nuestro conocimiento del punto de venta hemos desarrollado una solución de IA orientada al reconocimiento de productos y materiales PLV en el punto de venta.

El reconocimiento de imágenes en el punto de venta, te asegura:

  • Fiabilidad y objetividad en el dato.
  •  
  • Rapidez en la toma de información.
  •  
  • Más tiempo en funciones más estratégicas.
Aplicaciones:
 
  • En la gestión diaria del Punto de Venta. Para la toma de datos de presencia, precios, facings, altura o cuota de lineal.
  •  
  • En el control y chequeo de promociones vinculadas a incentivos, podemos asegurar con total fiabilidad el cumplimiento del acuerdo de manera objetiva. Permitiendo que el pago de incentivos o premios se base en los resultados realmente obtenidos.
 

No te pierdas nuestro Webinar en colaboración con nuestro proveedor, Pervasive, donde explicamos con un ejemplo práctico cómo nuestra herramienta, SGPV, implementa la inteligencia artificial en el reconocimiento de imágenes.

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