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Abto Software

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www.abtosoftware.com

Abto Software is a value- and trust-driven partner delivering full-cycle custom software engineering and AI-enabled solutions for global enterprises.

Overview

Abto Software is a full-cycle custom software engineering company founded in 2007. We partner with customers in North America and the EU to deliver high-quality software that enables business continuity and competitive advantage. We combine science and technology through an in-house R&D office and a team of engineers to develop AI, data analytics, healthcare, fintech, retail, logistics, and internet solutions. We provide end-to-end services from product discovery and architecture to development, integration, cloud migration, and modernization. We work across industries including healthcare, distribution and retail, construction and real estate, telecommunications, government, manufacturing, logistics, FinTech, energy and utilities, education and e-learning, and internet. We emphasize value and trust, long-term partnerships, and a rigorous approach backed by certifications and partnerships. Our focus is on AI, automation, computer vision, data management, and scalable software that helps customers stay ahead in a rapidly changing digital landscape.

Mission statement

We empower customers business by the software of 21st century applying science, R&D, own IP.

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What we offer

Click2Tick – Software Support Ticket Automation

Automates support ticket management to enhance operational efficiency and minimize response times.

www.abtosoftware.com/products/click2tick-software-support-ticket-automation

SimpleContacts Applicant Tracking Software

Efficiently streamline your hiring process with SimpleContacts' advanced applicant tracking capabilities.

www.abtosoftware.com/products/abto-simplecontacts-applicant-tracking-software

Cashierless Checkout for Retail (PoC)

Enhance in-store experiences with automated, contactless checkout solutions.

www.abtosoftware.com/products/cashierless-checkout

Automatic Fruit Counting for Conveyor Systems

Automates fruit counting on conveyor systems for enhanced inventory and efficiency.

www.abtosoftware.com/products/automatic-fruit-counting

Automated Body Measurement (PoC)

Offers precise body measurements to enhance online shopping experiences and reduce returns.

www.abtosoftware.com/products/body-measurement

Bike & Helmet Detection (PoC)

Enhances cyclist safety and traffic management through real-time bike and helmet detection.

www.abtosoftware.com/products/bike-helmet-detection

Market segments

Market size by segment

Growth potential (CAGR)

Virtual fitting and size recommendation

5 Billion USD22.3% CAGR

Computer vision and measurement capabilities that derive body dimensions from user photos to provide size recommendations, reduce returns, and improve e-commerce fit accuracy.

Autonomous checkout and in-store product recognition

7 Billion USD15% CAGR

In-store computer vision that recognizes products, automates checkout and integrates with POS to enable cashierless, contactless transactions and faster throughput.

Packhouse automation and produce counting

0.8 Billion USD11% CAGR

Vision systems for conveyor-based produce counting, quality monitoring and packhouse integration to improve inventory accuracy and reduce post-harvest loss.

Traffic monitoring and cyclist safety analytics

0.25 Billion USD14% CAGR

Real-time detection and analytics for bicycles and helmets, including speed recognition and reporting to support urban planning, traffic management and safety enforcement.

IT service and recruitment automation

12 Billion USD10% CAGR

Process automation for service desks and talent acquisition that automates ticket creation and routing, applicant tracking, reporting and workflow management to improve operational efficiency.

More information about our offering

Click2Tick – Software Support Ticket Automation

Click2Tick is a PoC product that automates software support ticket handling, enabling streamlined ticket creation, routing, and resolution processes.

  • Automates Ticket Handling
    Reduces manual intervention in support processes by enabling automatic ticket creation based on software errors, enhancing response efficiency.
  • Identifies Software Errors Automatically
    Ensures timely reporting of critical issues by identifying software errors immediately, minimizing potential disruptions.
  • Streamlines Ticket Documentation
    Eliminates tedious manual data entry by automatically gathering and filling in relevant error information, thereby enhancing accuracy and speed.
  • Integrates With Service Desks
    Facilitates smooth communication between support teams and service management tools, allowing for easier tracking and resolution of issues.
  • Enhances User Experience
    Offers an intuitive interface for quick ticket submission, thus reducing the learning curve and increasing employee satisfaction.

SimpleContacts Applicant Tracking Software

SimpleContacts is an applicant tracking software designed to streamline recruitment workflows. It leverages AI to enhance the hiring process through effective candidate management and reporting features, offering a scalable solution for organizations of all sizes.

  • Enhance Recruitment Efficiency
    Simplifies the recruitment process by keeping track of candidates at every stage, which helps reduce the time and effort involved in hiring.
  • Easily Access Candidate Data
    Allows recruiters to quickly find candidates based on specific criteria such as skills, experience, and education.
  • Optimize Filling Positions
    Helps in monitoring recruitment progress and improving the time-to-fill metric, ensuring timely hiring.
  • Enhance Decision-Making
    Provides insights on recruitment performance, facilitating strategic planning and adjustments in hiring strategies.
  • Ensure Data Integrity
    Enables safe tracking of changes made to candidate profiles, enhancing accountability and security.

Cashierless Checkout for Retail (PoC)

Cashierless Checkout for Retail is a PoC AI-driven solution that automates in-store checkout using computer vision and product recognition, creating faster, hygienic shopping experiences.

  • Optimize Checkout Process
    This feature enables a fully automated shopping experience, reducing customer wait times, streamlining operations, and enhancing overall satisfaction through a contactless checkout process.
  • Enable Product Recognition
    The integration of AI allows for accurate and instant identification of products, ensuring a seamless and efficient checkout process that minimizes errors.
  • Facilitate Safe Shopping
    This system enhances shopper safety by minimizing physical interactions, thereby catering to the growing demand for hygiene in retail environments post-pandemic.
  • Simplify Implementation
    Retailers can leverage existing setups, ensuring a cost-effective transition to automated systems with minimal disruption.

Automatic Fruit Counting for Conveyor Systems

Automatic Fruit Counting is a PoC product for conveyor systems that counts fruits as they move along the line. It uses computer vision technology to provide efficient inventory management and quality control.

  • Count Fruits Efficiently
    Utilizes IP cameras and computer vision to count fruits and vegetables in real-time, providing metrics like current and average fruit flow, total quantity, and capacity utilization.
  • Display Key Metrics Instantly
    Shows processing metrics on monitors within the facility, allowing for quick managerial decisions and adjustments to operations.
  • Minimize Manual Processes
    Automates counting, allowing for accurate tracking and reduction in waste, significantly improving operational efficiency.
  • Optimize Workflow Management
    Data collected can be forwarded to relevant departments or systems, ensuring better logistical planning.
  • Count Various Produce Types
    Handles counting for citrus fruits, pome fruits, stone fruits, and various vegetables, enhancing flexibility in operations.

Automated Body Measurement (PoC)

Automated Body Measurement is a PoC solution that performs body measurements through computer vision with 98% accuracy, significantly reducing return rates and enhancing customer satisfaction.

  • Improves Accuracy Of Measurements
    The solution leverages advanced algorithms to capture and analyze body dimensions from user-submitted photographs, ensuring high precision and reducing fitting errors.
  • Facilitates User-Friendly Measurement
    Guides users to take their own pictures for an easy and accessible measurement experience, no professional equipment required.
  • Decreases Return Rates
    By ensuring accurate sizing recommendations, it lowers the number of return products due to misfitting, thus enhancing customer satisfaction.
  • Empowers Personalized Recommendations
    Utilizes gathered data to tailor marketing campaigns and product offerings to align better with customer preferences.

Bike & Helmet Detection (PoC)

Bike & helmet detection is an AI-based solution that leverages computer vision to detect and analyze bicycles and helmets. This tool is designed for traffic monitoring and to enhance safety for cyclists and pedestrians. It gathers and analyzes real-time data regarding traffic patterns, providing comprehensive insights to inform urban planning and public safety measures.

  • Detects and Analyzes Traffic
    This feature allows the system to gather critical data about the number of bicycles and pedestrians using a given path, which can be essential for urban planning and safety improvements.
  • Encourages Safe Cycling
    By ensuring helmet compliance, this feature supports public safety initiatives and encourages responsible cycling.
  • Optimizes City Traffic
    This feature can aid authorities in managing traffic flow more efficiently by analyzing speed patterns of cyclists, contributing to better traffic regulation.
  • Provides Easy Access to Insights
    This allows for efficient data review and contributes to informed decision-making for infrastructure adjustments and safety measures.

References

Methodology and sourcing behind the market figures shown above.

Virtual fitting and size recommendation

SNS Insider explicitly values the virtual fitting room market at USD 5.00B in 2024 and projects growth to USD 28.29B by 2032 (CAGR 22.3%). A LinkedIn summary notes an alternate CAGR estimate (6.4%) from another report; primary estimate uses SNS Insider data from the search results.

Autonomous checkout and in-store product recognition

Search results show reported market values between USD 5.55B (Autonomous Checkout, 2024) and USD 8.6B (Autonomous Retail, 2025), with related self-checkout estimates at US$6.5B (2026). Reported CAGRs range ~10.3%–21.0%. Combining these sources and weighting higher for AI/computer-vision-driven in-store product recognition (faster adoption than legacy barcode systems), I estimate a current market size of roughly USD 7.0B and a growth potential (CAGR) around 15% for the autonomous checkout / in-store product recognition segment.

Packhouse automation and produce counting

Search results show the broader packaging automation market ranges roughly USD 15B–86B (2023–2025) with CAGRs ~5–8.5%. Packhouse produce-counting (vision systems, quality monitoring, packhouse integration) is a narrow vertical within food & beverage packaging automation. Assuming food & beverage represents ~20–30% of packaging automation and packhouse vision/counting represents ~3–5% of that segment, the addressable market is roughly USD 0.5–1.2B; I select ~USD 0.8B. Growth is likely faster than overall packaging automation (reports show ~5–8% CAGR) due to AI/vision adoption, digitization of supply chains, and focus on reducing post-harvest loss; estimated CAGR ~11%.

Traffic monitoring and cyclist safety analytics

Estimate based on road/traffic safety market figures in the search results. MarketsandMarkets projects global road safety market at USD 6.69B (2025) to USD 12.39B (2030), CAGR 13.1%; broader traffic-safety-products estimates show similar multi‑billion markets. Cyclist-and-helmet real-time analytics is a niche subsegment (hardware + camera/AI analytics) — assumed ~3–4% of the broader road/traffic safety analytics addressable market, yielding roughly USD 0.2–0.5B (midpoint ~0.25B). Growth potential is comparable to or modestly above the overall road-safety analytics CAGR due to rising predictive analytics and smart-city adoption (estimate ~14% CAGR).

IT service and recruitment automation

Search results provided no relevant market data. Using internal market knowledge: combine IT service-management/automation (typical estimates ~8–10B) and recruitment/talent-acquisition automation/ATS (typical estimates ~2–4B) to form a combined segment (~12B). Growth reflects steady ITSM and HR-tech adoption plus acceleration from RPA and AI-driven automation, yielding an estimated CAGR around 8–12%; midpoint used (10%).

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