Case Study: Senoptica achieves faster quality assurance insights with Xpanse AI

Automated Data Science in Quality Assurance for Packaged Foods

The customer, Senoptica, faced a major challenge in reducing global food waste, as faults in Modified Atmosphere Packaging (MAP) for foods were slipping through traditional quality control systems. This issue was costing retailers billions annually. To develop their breakthrough sensor technology for non-invasive, real-time package monitoring, Senoptica partnered with the vendor, Xpanse AI, and its automated data science service.

Xpanse AI implemented its automated data science solution to quickly process sensor readings and transform them into immediate insights and alerts. This provided Senoptica with actionable analytics, accelerating their R&D process through rapid machine learning prototyping. The results for the customer included a much lower cost for advanced analytics and a reduction in time-to-insight from weeks to minutes.

Senoptica

Brendan Rice

Chief Executive Officer