What is Scanlily?
Scanlily is a user-friendly software solution specifically crafted for inventory and asset management, aimed at teams that desire advanced features without the excessive costs or complicated procedures often linked to enterprise-level systems. By harnessing the power of AI for video and image recognition, it allows users to catalog items in just minutes, as they can record a short video while describing the items, with the AI then proficiently identifying the objects, creating descriptions, and organizing the inventory autonomously. Additionally, Scanlily features a built-in booking system that streamlines the management of shared equipment, incorporating checkout processes, calendar scheduling, and pickup confirmations, effectively resolving the scheduling conflicts typical of conventional spreadsheets and basic tools. Users can effortlessly find items by posing queries to the AI in simple language, which significantly boosts operational efficiency. Moreover, the software incorporates QR labels that work with any smartphone camera, eliminating the necessity for app installations; this feature enables contractors, volunteers, and temporary staff to quickly scan codes to access or modify item information directly through a browser, greatly decreasing the training time required for new users. The platform also provides vital functionalities such as GPS tracking for field equipment, thorough audit trails, and ensures complete data ownership with the capability to export all information, including images, which gives teams extensive oversight and authority over their assets. With such an array of capabilities, Scanlily not only meets contemporary inventory management demands but also positions itself as an indispensable tool for effective operational practices. Its comprehensive features ultimately contribute to a more streamlined and efficient workflow for users across various sectors.
Pricing
Business:
- Every Month for 10 Users: $10 for 500 items
- Every Month for Unlimited Users: $20 for 500 items