Navigating the dynamic retail landscape requires an edge. With Labelbox, you can blend advanced AI with actionable shelf optimization strategies. As e-commerce surges, brick-and-mortar stores need to optimize every square inch. Labelbox's platform helps leading retailers fuse AI capabilities with real-world retail needs.
Gain valuable AI-driven shelf insights for timely restocking, strategic product placements, and more.
A leading retail chain with over 600 U.S. convenience stores suffered from poor shelf utilization due to inconsistent quality checks. Using Labelbox, they centralized image data from stores, leveraged AI-assisted labeling to rapidly generate high-quality training data, and optimized model training for highly accurate models. The team built models 90% faster, shortening development time from months to merely a week by adopting Labelbox as their data-centric AI platform. They also attained an impressive 60% accuracy with merely 100 images. With their new system, this retailer elevated in-store quality and enhanced customer experience, resulting in an impressive $10 million improvement in projected sales.
Optimizing shelf space goes beyond data collection — it's about iterative learning, evaluation, and enhancement. Labelbox provides the environment to train models 3X faster, allowing you to compare models across experiments, diagnose model errors, perform robust error analysis, and drive accurate AI outcomes. Create robust RLHF and RLAIF workflows in minutes to ensure that your models are aligned with human-centric evaluations, guaranteeing trustworthy outcomes for your retail strategies.
Stockouts can severely impact retail sales. With an impressive 60% accuracy in identifying shelf gaps using a mere sample of 100 images, models built using Labelbox allowed a leading retail chain to make proactive restocking decisions across thousands of stores nationwide. This accuracy not only guarantees product availability — it also offers strategic insights into product placements.
Computer vision holds the promise of always-on monitoring and precise alerts based on intricate in-store details — from stock levels to product placements. Yet limited recognition capabilities prevent retailers from achieving the promise. Labelbox is trusted by hundreds of organizations to master computer vision by training highly accurate models quickly and with confidence. From automating data enrichment with foundation models to orchestrating labeling workflows to model training and monitoring, Labelbox offers comprehensive computer vision development capabilities.
Jumpstart app development
Integrate off the shelf models to power your intelligent application and e
Rapidly integrate data, create quality training data, and deploy models to production.
Generate high-quality data
Best in class labeling platform using AI and human expertise to prepare training, testing and validation datasets.
Align task-specific models
Advanced tools for improving model performance to align with the specific needs of your application