In Foodlla, item information and product images are quality assured to meet industry standards.
The information is automatically scanned for flaws in real time and the system alerts you to suspicious errors. Once uploaded, the product is reviewed by our quality engineers for approval.
Through system integrations, simplifications and automation, we've cut costs, manual work and bottlenecks to get your products into the established grocery e-commerce channels quickly.
Foodla also gives you the opportunity to tell your own story with pictures, film and text. The material is used by retailers and stores for in-store signage, online profiles, articles, mailings and communication with consumers
Information is read by Foodla's models in real time to detect errors, flaws and mistakes and help you digitize your product.
Images are automatically masked, edited and formatted according to all industry requirements when uploaded using the latest AI technology.
Computer Vision automatically reads and classifies product information from uploaded images.
Foodla is a SaaS-platform that makes it ridiculously easy to collect and share digital information around products for e-commerce sales. We build a digital infrastructure facilitating efficient information flows within the grocery industry and its complex structure of actors. By doing so we help the grocery industry transform and meet the changing and ever increasing demands of markets and consumers.
We are a tightly knitted team of result oriented problem solvers working with high impact challenges at large that affects the lives of millions! We believe in challenging inefficient structures and “we’ve always done it this way”-mentality. We do so with an iterative mindset and leveraging new technology and data to build a platform that scales.
Serial-entrepreneur with several years of experience within the food retail and tech industry
+5 years seasoned expert within the grocery industry, its data flows, systems and digital channels
Senior fullstack dev with +11 years fullstack experience.
Serial-entrepreneur and researcher with 9 years at Stanford & MIT, currently in Boston pursuing a PhD within Artificial Intelligence
Stellar customer success expert and business developer
