Scaling Robot Vision for
Autonomous Retail Operations
120+
Production Workflows
60
Retail Data Specialists
95%
Quality Score
A global leader in autonomous robotics partnered with iMerit to annotate and validate robot captured visual data, improving AI capabilities for product recognition, inventory monitoring, and autonomous store operations.
Challenge
A leading provider of AI powered autonomous robotics solutions develops intelligent mobile robots that automate store operations through computer vision and AI. These robots capture and analyze store imagery to recognize products, verify price labels, monitor shelf availability, detect misplaced or out of stock items, and provide actionable inventory insights.
Reliable model performance required large volumes of accurately annotated and validated images across diverse store layouts, lighting conditions, packaging variations, occlusions, and changing product assortments. The client needed a partner that could support multiple computer vision workflows at scale while maintaining consistent quality as project requirements evolved.
The client required scalable annotation and validation support across product recognition, OCR, inventory intelligence, and quality assurance workflows. The program also needed strong retail domain expertise, structured quality processes, and the operational flexibility to respond to changing priorities and new use cases.
“Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost.”
Solution
- Built and trained a team of 60 specialists with retail, ecommerce, and product catalog expertise
- Delivered annotation and validation across product recognition, OCR, inventory intelligence, and quality assurance workflows
- Supported continuous computer vision model improvement through annotation, validation, and ongoing quality assurance
- Established multiple levels of quality review and collaborated with client teams to refine annotation guidelines and address edge cases
- Enabled operational agility by adapting to evolving project priorities, workflows, and annotation requirements
iMerit assembled a dedicated team of 60 specialists with expertise in retail, ecommerce, and product catalog management. A rigorous selection process, including language assessments, domain evaluations, and interviews, ensured the right combination of communication skills, analytical ability, and retail knowledge.
The team supported workflows spanning product recognition, price tag verification, OCR validation, stock level assessment, out of stock detection, product onboarding, and inventory intelligence. Continuous training kept specialists aligned with changing client priorities, retail environments, product categories, and annotation requirements.
To maintain consistent delivery, iMerit implemented multiple levels of quality assurance, recurring process knowledge assessments, and targeted training. Close collaboration with the client enabled rapid refinement of annotation guidelines, timely resolution of edge cases, and seamless adaptation to new workflows and project priorities.
Result
iMerit improved the reliability of the client’s computer vision models through consistent, human verified annotation and validation across critical retail workflows. Over two years, the team completed more than 120 production workflows while maintaining a 95% Defects Per Unit quality score.
The scalable delivery model also supported expansion beyond retail store operations into logistics and warehousing, supply chain operations, commercial facility cleaning, and construction. Consistent quality performance led the client to assign selected client readiness review responsibilities to the iMerit team.
“iMerit consistently meets our quality expectations and now handles client readiness reviews for selected use cases.”
