Hundreds of naming variations forced manual labeling. AI now identifies items despite typos, cutting reporting from 45 days to 5.
A digital receipt platform serving 8.5 million users with a database of four billion offline retail sales records.
Products appeared under hundreds of different names across point-of-sale systems, forcing the team to rely on manual labeling that extended report...
“We’ve been providing electronic receipt storing and tracking services since 2018, which allows us to accumulate four billion entries of receipt data from offline retail sales. By analyzing this huge amount of data, we can help enterprise customers better understand consumer behavior across physical stores.”
Invoice-based retail data analytics and consumer insight platform.
Provided technical advice to help invos Group adopt Vertex AI for product identification.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.