Sensei Tech

Imagine a retail experience where queues and scanning are a thing of the past.

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: Sensei provides comprehensive, AI-powered autonomous retail solutions designed to revolutionize physical shopping by eliminating friction and optimizing operations across diverse industries.

Sensei builds autonomous retail solutions using computer vision and artificial intelligence to create frictionless shopping experiences. Their technology provides retailers with priceless insights and automation, enabling operational efficiency and new revenue opportunities.

Key Features:
  • Computer vision and AI for anonymous product and shopper tracking.
  • Real-time shelf inventory visibility and proactive replenishment.
  • Frictionless shopping journey with no scanning or queues.
  • Adaptable autonomous store formats: Store, Pod, Cabinet, and Lane.
  • GDPR-compliant technology ensuring customer privacy without biometric data collection.
Pros
  • Retailers seeking to master operational efficiency and reduce theft.
  • Businesses looking to unlock new revenue streams through 24/7 autonomous operations.
  • Organizations across supermarkets, workplaces, mobility, education, hospitality, leisure, and health & wellness aiming to enhance customer experience.
Cons
  • Requires integration into existing retail infrastructures.
  • Initial setup and calibration time for hardware and software.
  • Focuses on physical retail automation, not e-commerce solutions.
Pricing
enterprise
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Quick Decision
Try if: You are a large retailer or business in sectors like supermarkets, workplaces, or mobility, looking to implement advanced autonomous retail solutions to boost efficiency, reduce costs, and enhance customer experience while ensuring privacy.
Skip if: You are a small business with limited budget for significant technological overhaul, or your primary need is not physical store automation.
Not for: Small businesses with limited capital for significant infrastructure investment.; Retailers who prefer traditional, human-centric checkout processes without automation.; Individuals looking for a consumer-facing AI tool rather than a B2B retail solution.
Trust Signals
  • Founded


    2017
  • Team Size


    70+
  • Funding


    25M$
Compliance
GDPR
Notable Customers
Glintt LifeNOSContinente Bom DiaDAO TrentoColibri
Tech Details
Platforms
physical retail infrastructure
  • AI Model


    proprietary AI software
Open Source
No
Support
Company
  • Name


    Sensei
  • Location


    Lisbon, Castelo Branco, São Paulo, Milan

Sensei was founded in 2017 to transform the retail industry by building autonomous stores using computer vision and AI, aiming to improve shopping experiences and operational efficiency for retailers.

FAQ

What is Sensei's core technology?

Sensei's core technology combines computer vision, artificial intelligence, machine learning, and sensor technology to enable precise, fully autonomous store operations. This includes monofocal cameras, shelf weight sensors, and computational servers.

How does Sensei ensure customer privacy?

Sensei's technology is GDPR-compliant, meaning cameras do not collect or store biometric data points. They build privacy-protective capabilities into their products and technology to safeguard consumer privacy.

What types of autonomous retail solutions does Sensei offer?

Sensei offers various autonomous retail formats including 'Store' (flagship experience), 'Pod' (100% autonomous, 24/7 microstores), 'Cabinet' (self-contained, plug & play solution), and 'Lane' (embeds into existing stores for express checkout).

Use Cases
  • Retailers seeking to master operational efficiency and reduce theft.
  • Businesses looking to unlock new revenue streams through 24/7 autonomous operations.
  • Organizations across supermarkets, workplaces, mobility, education, hospitality, leisure, and health & wellness aiming to enhance customer experience.
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