Pull data from inventory checklists in a snap!
Manual data entry from inventory checklists is, firstly, prone to errors and secondly – insanely time-consuming. Good news is that it’s now the song of the past. It’s also a difficult task for many IDP tools due to the table extraction challenge.
Letting Alphamoon platform capture all the key information from your inventory checklists enables you to make the best use of your data.
Streamline data capture, analysis, and decision-making processes, for increased efficiency and reduced operational costs.
Take Alphamoon for a test drive. The first 50 docs are on us!
Cutting-edge tech to work with your docs stack
Optical character recognition converts images, such as photos or scans, into machine-encoded text. The model handles low-quality so worry not about multilingual symbols, poor image quality, and stains.
The core feature of our technology is the powerful data extraction component. With AI and ML at its core, entity extraction understands the context of data fields. You can also customize the fields you’d like to extract.
Based on the contents and layout of the doc, the platform automatically labels the incoming files and sorts them. The first segmentation requires no manual work.
Connect Alphamoon with your stack through API or via Zapier. Add a database like Google Drive or OneDrive to source new documents straight to the document automation tool.
Have questions about the product? Read the most common ones, or head to the full FAQ below.
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What processes can I improve thanks to inventory checklist automation?
Alphamoon lets you quickly streamline a variety of your day-to-day processes: tracking stock-levels, identifying slow-moving or obsolete items, planning for restocking, preparing cost analyses & financial reports, supply chain optimization, forecasting – you name it. All of these are impacted by the single step of pulling data from documents automatically.
What formats can I process in Alphamoon?
The platform supports common file types, including PDF, DOCX, XLSX, PNG, JPG, TIFF, and emails. After data extraction, data appears in a file, ready to be downloaded as CSV or XLSX or safely imported into the internal processing system of your choice through API or Zapier.
What kind of data can be read from XYZ?
The recommended data set to extract from inventory checklist includes item description, quantity (e.g. number of units available in the stock), location (e.g. location area), ID number(s), purchase date, supplier data (e.g. company name, address), total amount, condition of the item (e.g. new, used, damaged), or reorder date. Depending on the specific contents of the documents, you can create unique labels for the data you wish to extract.
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