How Annotera helped a global leader in autonomous shopping technology scale data annotation, store deployment, and 24/7 technical operations across the US and Europe.
How Annotera helped a global leader in autonomous shopping technology scale data annotation, store deployment, and 24/7 technical operations across the US and Europe.
Our client builds cashier less, computer-vision-powered retail environments that let shoppers walk in, pick what they want, and walk out. Delivering that experience reliably requires precisely labeled training data at scale, seamless store deployment across multiple geographies, and always-on technical resolution — 24/7, across the US and Europe.
Starting with grocery and retail deployments in the EU, the client expanded its go-to-market into the US with large-scale events, stadiums, and arenas. Annotera has been their annotation partner of choice since 2020, growing from a single line of business into a full operational backbone spanning annotation, FLS & deployment, and tech operations.
A global leader in autonomous shopping technology partnered with Annotera to support its rapid growth across Europe and the United States. The client’s cashier less, computer-vision-powered stores began with grocery and retail deployments in the EU before expanding into large-scale sports arenas and event venues in the US. This shift introduced a new operational reality — short, high-intensity events with unpredictable footfall, alongside legacy stores that still demanded round-the-clock coverage. The client needed a partner who could scale real-time data annotation, model ground truth quality, and workforce management in step with these event-driven demand cycles.
Annotera responded with a multi-geography delivery model spanning India, the Philippines, and Albania, building dedicated lines of business across data annotation, FLS & store deployment, and tech operations. Each function was engineered for real-time agility — flexing up for live events, holding steady for always-on coverage, and continuously feeding annotation insight back into the client’s models. What began as a single engagement in 2020 has grown into a multi-year strategic partnership.
As the client shifted from steady-state grocery stores to stadium-scale live events, annotation demand became sharp, spiky, and hard to predict. Legacy deployments still needed 24/7 coverage, every store launch had to go live on spec and on time, and there was zero tolerance for SLA slippage or cost escalation during demand spikes.
Annotera built a three-pillar model — data annotation, FLS & deployment, and tech operations — delivered from India, the Philippines, and Albania. Annotation pipelines spanned items, realogram, action, and fraud prevention; deployment teams took stores from blueprint to go-live; and 24/7 triage, centralized workforce management, and consultative engineering collaboration kept it all running.
The partnership has delivered a $0.04 cost per transaction sustained for over five years, 100+ live events supported annually across three geographies, and 99.65%+ SLA adherence through high-demand launches. Three lines of business were established within 24 months, onboarding time fell 40% through centralization, and three product releases were co-developed with the client’s engineering team.
For AI products that operate in the physical world, Annotera provides the annotation depth and operational rigor most vendors cannot match. Our multi-geography delivery model, domain-trained annotators, and always-on technical operations make us the right partner for high-velocity, demand-volatile AI programs.
Live Events Supported Per Year
SLA Adherence During High-Demand Launches
Cost Per Transaction, Sustained 5+ Years
Reduction in Onboarding Time
Annotera’s annotation specialists, deployment engineers, and tech ops teams act as a critical layer of quality control for the client’s AI models—improving transaction accuracy, strengthening model ground truth, and increasing the overall reliability of autonomous checkout environments. This embedded, domain-trained approach supports faster event response, improved behavior-tracking accuracy, and more dependable model outcomes.
The world’s most advanced autonomous stores run on data we label — see what that level of precision could do for your AI.