Powerhouse AI uses computer vision to detect boxes on shelves and pallets in order to get to an accurate count. Pieces (or eaches) are counted based on identification of text or numbers (like barcodes)

Aimed at automating document processing in logistics, this solution uses computer vision to read documents effectively and prevent manual data entry into ERP or WMS systems. It automates the cross-checking between documents and physical inventory or system data, and it can extract relevant information from paper documents or PDFs. The use of this solution can lead to smarter document handling that is up to 10 times faster, prevents human errors and allows better control over the process. It can be integrated as a part of various workflows and can also be white-labelled as part of your own solutions.

Providing fast and flexible scanning capabilities, this solution uses computer vision to smartly scan everything from classic barcodes, complex labels to text printed on boxes, even labels without barcodes or QR codes. It is capable of extracting additional data like lot numbers or expiry dates, drastically saving time and eliminating manual work. It can be effortlessly integrated as part of various workflows like inbound and outbound checks, cycle counts and can also be white-labelled as part of your own solutions such as WMS, drones, mobile applications or others.