Smart Shopping Cart Market by Offering (Hardware, Services, Software), Technology Type (Bar Codes, RFID), End-User - Global Forecast 2025-2032
Description
The Smart Shopping Cart Market was valued at USD 1.85 billion in 2024 and is projected to grow to USD 2.25 billion in 2025, with a CAGR of 22.91%, reaching USD 9.66 billion by 2032.
A clear framing of smart shopping cart systems and their role in modern retail transformation that sets the context for strategic evaluation and decision-making
The introduction frames the strategic significance of smart shopping cart technology as a pivotal enabler of modern retail transformation, driven by customer experience expectations and operational efficiency imperatives.
Smart shopping cart systems combine hardware elements, software orchestration, and professional services to create an integrated retail touchpoint. Hardware components such as camera modules, payment systems, scanners, touchscreen displays with LCD or LED options, and weight sensors form the physical backbone. Software stacks enable user interfaces, analytics, and checkout orchestration, while services encompass consulting and installation & maintenance support that ensure practical, scalable rollouts. Across technology types, implementations commonly adopt either Bar Codes or RFID approaches for product identification and tracking, and they are tailored to diverse end-users including grocery stores, shopping malls, and supermarket/hypermarket formats.
This introduction establishes the reader’s orientation by summarizing how converging trends in customer behavior, point-of-sale expectations, and automation economics are shaping adoption considerations. It sets the stage for deeper analysis into market dynamics, regulatory developments, segmentation nuances, and regional strategic priorities that follow in subsequent sections.
How converging customer expectations, sensor innovation, and operational priorities are driving a rapid shift in retail architectures and technology adoption strategies
Retail operating models are experiencing transformative shifts as omnichannel expectations, contactless commerce, and data-driven personalization converge to reshape in-store experiences.
Customer behavior is migrating toward seamless, mobile-enabled journeys that demand reduced friction at checkout and personalized touchpoints on the salesfloor. Technological maturation across camera modules, sensors, and edge-compute capable displays is enabling richer in-cart experiences while lowering the complexity and cost of deployment. Simultaneously, rising emphasis on privacy, secure payment handling, and resilient supply chains is driving vendors to refine hardware modularity and software extensibility. These shifts are also pushing retailers to re-evaluate store formats where smart carts can be trialed: grocery stores and supermarket/hypermarket environments prioritize throughput and speed, whereas shopping malls emphasize experiential retail that leverages in-cart media and loyalty integration.
Interoperability across Bar Codes and RFID systems continues to be important as retailers balance legacy investments with future-proofing. Services such as consulting and installation & maintenance are now being positioned as strategic enablers rather than transactional add-ons, guiding retailers through pilot design, vendor selection, and operational integration. Together, these transformations are reshaping value propositions and altering how decision-makers measure success for smart shopping cart deployments.
Assessing how U.S. tariff dynamics are reshaping procurement, supplier strategies, and hardware design choices with implications for supply resilience and cost structures
Policy developments and tariff adjustments in the United States exert a tangible influence on the cost structure and sourcing strategies for hardware-intensive retail technologies, affecting decisions across vendor selection and supply chain design.
Tariff measures that impact components commonly used in smart shopping cart assemblies-such as camera modules, displays, sensors, and payment hardware-can increase landed costs and incentivize buyers to reassess manufacturing footprints. In response, many vendors and retailers are examining nearshoring options, diversifying component suppliers, and exploring alternate mechanical or electronic architectures that reduce exposure to impacted tariff lines. Procurement teams are increasingly embedding total cost-of-ownership assessments and scenario planning into vendor evaluations, balancing initial acquisition cost against long-term maintenance, spare-part availability, and software service agreements.
Beyond supplier selection, the tariff context has catalyzed greater emphasis on modular hardware design and standardized interfaces, enabling components to be sourced from multiple geographies without wholesale redesign. These adjustments also accelerate conversations around service models, where installation and maintenance providers can help bridge transitional supply challenges through local support capabilities and remanufacturing strategies. For technology decision-makers, the cumulative effect is a sharper focus on resilience, supplier diversity, and contractual clauses that hedge against future policy shifts.
Detailed segmentation-driven perspectives that explain how offering, technology type, and end-user requirements define product design choices and go-to-market differentiation
Segmentation-driven analysis reveals distinct technology, offering, and end-user vectors that demand differentiated product strategies and go-to-market approaches.
From an offering perspective, the smart shopping cart ecosystem splits into hardware, services, and software. Hardware further decomposes into camera modules, payment systems, scanners, touchscreen displays, and weight sensors, with touchscreen displays offering LCD and LED variants that trade off cost, brightness, and touch responsiveness. Services are bifurcated into consulting services and installation & maintenance services, each playing a role in reducing deployment risk and accelerating time-to-value. Software functions cover user experience, analytics, inventory reconciliation, and checkout orchestration, creating the control layer that ties hardware to operations.
Looking at technology types, deployments rely on either Bar Codes or RFID for product identification, with each approach presenting trade-offs in scanning speed, ontrol, and inventory granularity. End-user segmentation highlights how grocery stores, shopping malls, and supermarket/hypermarket operators prioritize different capabilities: grocery stores emphasize rapid checkout and accuracy for perishables; shopping malls often seek brand engagement and experiential features; supermarket and hypermarket formats require high-throughput, durable hardware and streamlined maintenance strategies. These segmentation axes illuminate route-to-market tactics, pricing structures, and product roadmaps, guiding vendors to tailor offerings to distinct commercial priorities.
Strategic regional nuances that influence technology selection, regulatory compliance, and partner models across the Americas, Europe Middle East & Africa, and Asia-Pacific markets
Regional dynamics play a pivotal role in shaping deployment priorities, regulatory expectations, and partner ecosystems for smart shopping cart solutions across global retail markets.
In the Americas, retailers often evaluate solutions against compressed time-to-checkout targets and advanced loyalty integrations, and they prioritize payment security, returns handling, and integration with established POS ecosystems. Across Europe, Middle East & Africa, regulatory emphasis on data protection and cross-border standards influences hardware selection and software data architectures, while regional labor cost structures and varied retail footprints drive demand for both high-automation models and hybrid human-assisted deployments. The Asia-Pacific region features a spectrum of retail sophistication where some markets prioritize high-density automation and RFID-enabled inventory visibility, and others focus on rapid, cost-sensitive rollouts leveraging Bar Codes and modular hardware. These regional distinctions affect selection of touchscreen technologies, camera and sensor specifications, and the balance between vendor-provided maintenance and local service partnerships.
Taken together, regional insights underscore the necessity for flexible commercial models, partner ecosystems that can deliver installation and maintenance at scale, and software architectures that respect local regulatory requirements while enabling centralized analytics and cross-market learning.
Company-level competitive dynamics that prioritize modular hardware, integrated services, and extensible software platforms to secure enterprise retail partnerships
Competitive positioning among companies shaping the smart shopping cart landscape emphasizes integration capability, proven service delivery, and platform extensibility rather than single-component advantages.
Leading solution providers differentiate by offering modular hardware suites that accommodate camera modules, payment systems, scanner technologies, touchscreen display variants, and weight sensors with flexible interfaces. Success in the field also hinges on bundled services-consulting to design pilot programs and installation & maintenance offerings that ensure uptime and reduce lifecycle costs. Software capabilities such as real-time analytics, seamless integration with existing POS and inventory systems, and robust support for both Bar Codes and RFID are critical determinants of procurement decisions. Partnerships with regional integrators and logistics providers further strengthen market access and operational resilience.
For buyers, vendor selection increasingly revolves around demonstrated deployment experience in similar retail formats, responsiveness of local service networks, and the ability to support incremental rollouts that minimize disruption. Vendors that maintain an open architecture, prioritize security and privacy, and present clear roadmaps for feature enhancements are best positioned to earn long-term engagements with enterprise retail chains.
Practical, prioritized actions for leaders to align modular product design, supplier diversification, and service frameworks that accelerate scalable smart cart deployments
Actionable recommendations for industry leaders center on aligning product design, procurement strategy, and operational readiness to accelerate successful smart shopping cart initiatives.
Leaders should adopt a modular hardware strategy that separates critical components-camera modules, payment systems, scanners, touchscreen displays with LCD or LED options, and weight sensors-so that suppliers can be swapped without full redesigns. Parallel to this, firms must establish clear service agreements that include consulting for pilot design and robust installation & maintenance terms to reduce deployment friction. Technology choices between Bar Codes and RFID should be driven by a clear articulation of desired inventory visibility, scan performance, and total operational impact. When selecting pilot venues, prioritize end-users where returns on friction reduction are clear: grocery stores and supermarket/hypermarket formats for throughput gains, and select shopping malls for experiential feature validation.
Finally, build supplier diversity into sourcing strategies to mitigate tariff and supply chain risks, invest in regional partner networks to secure local support capability across the Americas, Europe, Middle East & Africa, and Asia-Pacific, and insist on open APIs and strong security postures so that software evolution and integrations can proceed without vendor lock-in. These steps will help convert experimentation into scalable operational change.
A transparent and reproducible research approach combining primary interviews, vendor validation, and standardized segment mapping to underpin credible insights
The research methodology blends qualitative and quantitative approaches to create a rigorous foundation for analysis while prioritizing transparency in data sources, validation steps, and analytic assumptions.
Primary research involved structured interviews with retail executives, technology vendors, integrators, and service providers to capture first-hand perspectives on deployment complexity, operational trade-offs, and adoption barriers. Secondary research drew on supplier product literature, regulatory texts, and industry white papers to validate component-level characteristics such as camera module capabilities, touchscreen display variants (LCD versus LED), payment system standards, and weight sensor use cases. Cross-validation was achieved by triangulating interview themes against vendor specifications and independent technology assessments. Segment-level insights were derived by mapping offerings into hardware, services, and software categories while evaluating technology types including Bar Codes and RFID, and end-user segments such as grocery stores, shopping malls, and supermarket/hypermarket operations.
Throughout, the methodology emphasized reproducibility and clarity: data collection instruments, interview guides, and criteria for vendor inclusion were standardized, and analytical steps were documented to enable stakeholders to trace conclusions back to underlying evidence.
A concise synthesis of how hardware, software, service models, and external pressures converge to define successful smart cart adoption strategies for diversified retail formats
The conclusion synthesizes how technological maturity, operational priorities, and external pressures together shape the pathway for smart shopping cart adoption across diverse retail contexts.
Smart shopping cart solutions are no longer a singular technology experiment; they represent a systemic retail capability that intertwines hardware elements such as camera modules, payment systems, scanners, diverse touchscreen display technologies, and weight sensors with software orchestration and professional services. The interplay between Bar Codes and RFID, coupled with end-user needs across grocery stores, shopping malls, and supermarket/hypermarket environments, compels a segmented approach to product strategy and deployment planning. Exogenous factors like tariff dynamics and regional regulatory expectations further influence sourcing decisions and partner selection.
For retailers and vendors alike, success requires modular architectures, robust service frameworks, supplier diversification, and regionally tailored implementation strategies. By prioritizing these elements, organizations can convert pilot learnings into durable operational benefits while preserving flexibility to adapt to evolving policy and market conditions.
Please Note: PDF & Excel + Online Access - 1 Year
A clear framing of smart shopping cart systems and their role in modern retail transformation that sets the context for strategic evaluation and decision-making
The introduction frames the strategic significance of smart shopping cart technology as a pivotal enabler of modern retail transformation, driven by customer experience expectations and operational efficiency imperatives.
Smart shopping cart systems combine hardware elements, software orchestration, and professional services to create an integrated retail touchpoint. Hardware components such as camera modules, payment systems, scanners, touchscreen displays with LCD or LED options, and weight sensors form the physical backbone. Software stacks enable user interfaces, analytics, and checkout orchestration, while services encompass consulting and installation & maintenance support that ensure practical, scalable rollouts. Across technology types, implementations commonly adopt either Bar Codes or RFID approaches for product identification and tracking, and they are tailored to diverse end-users including grocery stores, shopping malls, and supermarket/hypermarket formats.
This introduction establishes the reader’s orientation by summarizing how converging trends in customer behavior, point-of-sale expectations, and automation economics are shaping adoption considerations. It sets the stage for deeper analysis into market dynamics, regulatory developments, segmentation nuances, and regional strategic priorities that follow in subsequent sections.
How converging customer expectations, sensor innovation, and operational priorities are driving a rapid shift in retail architectures and technology adoption strategies
Retail operating models are experiencing transformative shifts as omnichannel expectations, contactless commerce, and data-driven personalization converge to reshape in-store experiences.
Customer behavior is migrating toward seamless, mobile-enabled journeys that demand reduced friction at checkout and personalized touchpoints on the salesfloor. Technological maturation across camera modules, sensors, and edge-compute capable displays is enabling richer in-cart experiences while lowering the complexity and cost of deployment. Simultaneously, rising emphasis on privacy, secure payment handling, and resilient supply chains is driving vendors to refine hardware modularity and software extensibility. These shifts are also pushing retailers to re-evaluate store formats where smart carts can be trialed: grocery stores and supermarket/hypermarket environments prioritize throughput and speed, whereas shopping malls emphasize experiential retail that leverages in-cart media and loyalty integration.
Interoperability across Bar Codes and RFID systems continues to be important as retailers balance legacy investments with future-proofing. Services such as consulting and installation & maintenance are now being positioned as strategic enablers rather than transactional add-ons, guiding retailers through pilot design, vendor selection, and operational integration. Together, these transformations are reshaping value propositions and altering how decision-makers measure success for smart shopping cart deployments.
Assessing how U.S. tariff dynamics are reshaping procurement, supplier strategies, and hardware design choices with implications for supply resilience and cost structures
Policy developments and tariff adjustments in the United States exert a tangible influence on the cost structure and sourcing strategies for hardware-intensive retail technologies, affecting decisions across vendor selection and supply chain design.
Tariff measures that impact components commonly used in smart shopping cart assemblies-such as camera modules, displays, sensors, and payment hardware-can increase landed costs and incentivize buyers to reassess manufacturing footprints. In response, many vendors and retailers are examining nearshoring options, diversifying component suppliers, and exploring alternate mechanical or electronic architectures that reduce exposure to impacted tariff lines. Procurement teams are increasingly embedding total cost-of-ownership assessments and scenario planning into vendor evaluations, balancing initial acquisition cost against long-term maintenance, spare-part availability, and software service agreements.
Beyond supplier selection, the tariff context has catalyzed greater emphasis on modular hardware design and standardized interfaces, enabling components to be sourced from multiple geographies without wholesale redesign. These adjustments also accelerate conversations around service models, where installation and maintenance providers can help bridge transitional supply challenges through local support capabilities and remanufacturing strategies. For technology decision-makers, the cumulative effect is a sharper focus on resilience, supplier diversity, and contractual clauses that hedge against future policy shifts.
Detailed segmentation-driven perspectives that explain how offering, technology type, and end-user requirements define product design choices and go-to-market differentiation
Segmentation-driven analysis reveals distinct technology, offering, and end-user vectors that demand differentiated product strategies and go-to-market approaches.
From an offering perspective, the smart shopping cart ecosystem splits into hardware, services, and software. Hardware further decomposes into camera modules, payment systems, scanners, touchscreen displays, and weight sensors, with touchscreen displays offering LCD and LED variants that trade off cost, brightness, and touch responsiveness. Services are bifurcated into consulting services and installation & maintenance services, each playing a role in reducing deployment risk and accelerating time-to-value. Software functions cover user experience, analytics, inventory reconciliation, and checkout orchestration, creating the control layer that ties hardware to operations.
Looking at technology types, deployments rely on either Bar Codes or RFID for product identification, with each approach presenting trade-offs in scanning speed, ontrol, and inventory granularity. End-user segmentation highlights how grocery stores, shopping malls, and supermarket/hypermarket operators prioritize different capabilities: grocery stores emphasize rapid checkout and accuracy for perishables; shopping malls often seek brand engagement and experiential features; supermarket and hypermarket formats require high-throughput, durable hardware and streamlined maintenance strategies. These segmentation axes illuminate route-to-market tactics, pricing structures, and product roadmaps, guiding vendors to tailor offerings to distinct commercial priorities.
Strategic regional nuances that influence technology selection, regulatory compliance, and partner models across the Americas, Europe Middle East & Africa, and Asia-Pacific markets
Regional dynamics play a pivotal role in shaping deployment priorities, regulatory expectations, and partner ecosystems for smart shopping cart solutions across global retail markets.
In the Americas, retailers often evaluate solutions against compressed time-to-checkout targets and advanced loyalty integrations, and they prioritize payment security, returns handling, and integration with established POS ecosystems. Across Europe, Middle East & Africa, regulatory emphasis on data protection and cross-border standards influences hardware selection and software data architectures, while regional labor cost structures and varied retail footprints drive demand for both high-automation models and hybrid human-assisted deployments. The Asia-Pacific region features a spectrum of retail sophistication where some markets prioritize high-density automation and RFID-enabled inventory visibility, and others focus on rapid, cost-sensitive rollouts leveraging Bar Codes and modular hardware. These regional distinctions affect selection of touchscreen technologies, camera and sensor specifications, and the balance between vendor-provided maintenance and local service partnerships.
Taken together, regional insights underscore the necessity for flexible commercial models, partner ecosystems that can deliver installation and maintenance at scale, and software architectures that respect local regulatory requirements while enabling centralized analytics and cross-market learning.
Company-level competitive dynamics that prioritize modular hardware, integrated services, and extensible software platforms to secure enterprise retail partnerships
Competitive positioning among companies shaping the smart shopping cart landscape emphasizes integration capability, proven service delivery, and platform extensibility rather than single-component advantages.
Leading solution providers differentiate by offering modular hardware suites that accommodate camera modules, payment systems, scanner technologies, touchscreen display variants, and weight sensors with flexible interfaces. Success in the field also hinges on bundled services-consulting to design pilot programs and installation & maintenance offerings that ensure uptime and reduce lifecycle costs. Software capabilities such as real-time analytics, seamless integration with existing POS and inventory systems, and robust support for both Bar Codes and RFID are critical determinants of procurement decisions. Partnerships with regional integrators and logistics providers further strengthen market access and operational resilience.
For buyers, vendor selection increasingly revolves around demonstrated deployment experience in similar retail formats, responsiveness of local service networks, and the ability to support incremental rollouts that minimize disruption. Vendors that maintain an open architecture, prioritize security and privacy, and present clear roadmaps for feature enhancements are best positioned to earn long-term engagements with enterprise retail chains.
Practical, prioritized actions for leaders to align modular product design, supplier diversification, and service frameworks that accelerate scalable smart cart deployments
Actionable recommendations for industry leaders center on aligning product design, procurement strategy, and operational readiness to accelerate successful smart shopping cart initiatives.
Leaders should adopt a modular hardware strategy that separates critical components-camera modules, payment systems, scanners, touchscreen displays with LCD or LED options, and weight sensors-so that suppliers can be swapped without full redesigns. Parallel to this, firms must establish clear service agreements that include consulting for pilot design and robust installation & maintenance terms to reduce deployment friction. Technology choices between Bar Codes and RFID should be driven by a clear articulation of desired inventory visibility, scan performance, and total operational impact. When selecting pilot venues, prioritize end-users where returns on friction reduction are clear: grocery stores and supermarket/hypermarket formats for throughput gains, and select shopping malls for experiential feature validation.
Finally, build supplier diversity into sourcing strategies to mitigate tariff and supply chain risks, invest in regional partner networks to secure local support capability across the Americas, Europe, Middle East & Africa, and Asia-Pacific, and insist on open APIs and strong security postures so that software evolution and integrations can proceed without vendor lock-in. These steps will help convert experimentation into scalable operational change.
A transparent and reproducible research approach combining primary interviews, vendor validation, and standardized segment mapping to underpin credible insights
The research methodology blends qualitative and quantitative approaches to create a rigorous foundation for analysis while prioritizing transparency in data sources, validation steps, and analytic assumptions.
Primary research involved structured interviews with retail executives, technology vendors, integrators, and service providers to capture first-hand perspectives on deployment complexity, operational trade-offs, and adoption barriers. Secondary research drew on supplier product literature, regulatory texts, and industry white papers to validate component-level characteristics such as camera module capabilities, touchscreen display variants (LCD versus LED), payment system standards, and weight sensor use cases. Cross-validation was achieved by triangulating interview themes against vendor specifications and independent technology assessments. Segment-level insights were derived by mapping offerings into hardware, services, and software categories while evaluating technology types including Bar Codes and RFID, and end-user segments such as grocery stores, shopping malls, and supermarket/hypermarket operations.
Throughout, the methodology emphasized reproducibility and clarity: data collection instruments, interview guides, and criteria for vendor inclusion were standardized, and analytical steps were documented to enable stakeholders to trace conclusions back to underlying evidence.
A concise synthesis of how hardware, software, service models, and external pressures converge to define successful smart cart adoption strategies for diversified retail formats
The conclusion synthesizes how technological maturity, operational priorities, and external pressures together shape the pathway for smart shopping cart adoption across diverse retail contexts.
Smart shopping cart solutions are no longer a singular technology experiment; they represent a systemic retail capability that intertwines hardware elements such as camera modules, payment systems, scanners, diverse touchscreen display technologies, and weight sensors with software orchestration and professional services. The interplay between Bar Codes and RFID, coupled with end-user needs across grocery stores, shopping malls, and supermarket/hypermarket environments, compels a segmented approach to product strategy and deployment planning. Exogenous factors like tariff dynamics and regional regulatory expectations further influence sourcing decisions and partner selection.
For retailers and vendors alike, success requires modular architectures, robust service frameworks, supplier diversification, and regionally tailored implementation strategies. By prioritizing these elements, organizations can convert pilot learnings into durable operational benefits while preserving flexibility to adapt to evolving policy and market conditions.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
182 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. AI-powered vision systems enable cashierless smart carts with real-time self-checkout
- 5.2. Sustainable materials and low-power sensors in smart carts reduce retail carbon footprint
- 5.3. Seamless IoT connectivity allows smart carts to update inventory and shopper profiles instantly
- 5.4. Personalized promotions on smart carts leverage machine learning for dynamic price optimization
- 5.5. RFID and computer vision integration in smart carts automate stock replenishment workflows
- 5.6. Blockchain-enabled data encryption in smart carts enhances consumer privacy and trust
- 5.7. Modular smart cart platforms support third-party app ecosystems for tailored in-aisle experiences
- 5.8. Real-time shopper analytics on smart carts deliver heatmap-driven store layout optimizations
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Smart Shopping Cart Market, by Offering
- 8.1. Hardware
- 8.1.1. Camera Module
- 8.1.2. Payment System
- 8.1.3. Scanner
- 8.1.4. Touchscreen Display
- 8.1.4.1. LCD
- 8.1.4.2. LED
- 8.1.5. Weight Sensors
- 8.2. Services
- 8.2.1. Consulting Services
- 8.2.2. Installation & Maintenance Services
- 8.3. Software
- 9. Smart Shopping Cart Market, by Technology Type
- 9.1. Bar Codes
- 9.2. RFID
- 10. Smart Shopping Cart Market, by End-User
- 10.1. Grocery Stores
- 10.2. Shopping Malls
- 10.3. Supermarket/Hypermarket
- 11. Smart Shopping Cart Market, by Region
- 11.1. Americas
- 11.1.1. North America
- 11.1.2. Latin America
- 11.2. Europe, Middle East & Africa
- 11.2.1. Europe
- 11.2.2. Middle East
- 11.2.3. Africa
- 11.3. Asia-Pacific
- 12. Smart Shopping Cart Market, by Group
- 12.1. ASEAN
- 12.2. GCC
- 12.3. European Union
- 12.4. BRICS
- 12.5. G7
- 12.6. NATO
- 13. Smart Shopping Cart Market, by Country
- 13.1. United States
- 13.2. Canada
- 13.3. Mexico
- 13.4. Brazil
- 13.5. United Kingdom
- 13.6. Germany
- 13.7. France
- 13.8. Russia
- 13.9. Italy
- 13.10. Spain
- 13.11. China
- 13.12. India
- 13.13. Japan
- 13.14. Australia
- 13.15. South Korea
- 14. Competitive Landscape
- 14.1. Market Share Analysis, 2024
- 14.2. FPNV Positioning Matrix, 2024
- 14.3. Competitive Analysis
- 14.3.1. Amazon.com, Inc.
- 14.3.2. Caper Inc.
- 14.3.3. Cart Technologies, LLC
- 14.3.4. Cust2mate Ltd.
- 14.3.5. Focal Systems Inc.
- 14.3.6. Grabango Co.
- 14.3.7. HiCart Corporation
- 14.3.8. IMAGR Limited
- 14.3.9. International Business Machines Corporation
- 14.3.10. MetroClick, Inc.
- 14.3.11. Microsoft Corporation
- 14.3.12. Mitsui & Co., Ltd.
- 14.3.13. Pentland Firth Software GmbH
- 14.3.14. Retail AI, Inc.
- 14.3.15. SAP SE
- 14.3.16. Shopic Technologies Ltd.
- 14.3.17. SK Telecom Co., Ltd.
- 14.3.18. Standard Cognition, Corp.
- 14.3.19. Superhii Corporation
- 14.3.20. SuperSmart Ltd.
- 14.3.21. Tracxpoint, Inc.
- 14.3.22. Veeve Inc.
- 14.3.23. Walmart Inc.
- 14.3.24. Wanzl India Pvt Ltd.
- 14.3.25. ZooZ by PayU Company
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