{"id":75128,"date":"2024-11-18T15:31:58","date_gmt":"2024-11-18T14:31:58","guid":{"rendered":"https:\/\/aton.com\/ordini-e-ingresso-merce-one-ai\/"},"modified":"2025-08-21T12:14:37","modified_gmt":"2025-08-21T10:14:37","slug":"orders-and-goods-inbound-one-ai","status":"publish","type":"post","link":"https:\/\/aton.com\/en\/orders-and-goods-inbound-one-ai\/","title":{"rendered":"Orders and goods inbound in 15 seconds: .one AI is transforming your business"},"content":{"rendered":"

Many times in our daily work, we need to upload a supplier document into the system<\/strong> \u2013 whether it’s an invoice, a delivery note, a goods receipt, or a purchase order in PDF format.<\/p>\n

Have you ever wondered how long this actually takes?<\/strong> And more importantly, how many errors can result<\/strong> from such a repetitive task?<\/p>\n

Let\u2019s find out how our .<\/span>one platform<\/strong>, enhanced with AI<\/strong>, helps users streamline and simplify the entire process!<\/p>\n

\"Schermata<\/p>\n

Once, there was OCR<\/strong><\/h2>\n

Until now, document processing<\/strong> has relied on a product known as OCR<\/strong> \u2013 short for “Optical Character Recognition<\/em><\/a>” \u2013 which, through the use of predefined document templates, has been (and still is) capable of extracting information based on the coordinates provided by the model.<\/span><\/span><\/p>\n

What are the limitations<\/strong> of this technology? The need to define a specific template for each supplier<\/strong> and to create a new one for any new supplier \u2014 not to mention the ongoing maintenance required if the document format changes, often resulting in additional costs<\/strong>.<\/p>\n

Today, however, we can rely on vertical models known as LLMs \u2014 short for \u201cLarge Language Models<\/a><\/em>\u201d \u2014 specifically trained to extract information<\/strong> without the steps mentioned above, significantly reducing setup costs<\/strong>.<\/p>\n

Orders and goods inbound in 15 seconds with .<\/span>one AI<\/span><\/strong><\/h2>\n

At Aton, the .<\/span>one omnichannel platform<\/strong> continues to evolve by fully integrating this technology<\/strong>. As we often explain during meetings with our clients, it is essential to apply Artificial Intelligence where its full potential can truly be leveraged.<\/p>\n

From this principle, we developed the engine that processes documents and extracts key information<\/a><\/strong>, carefully configured to adapt to bespoke requirements for each supplier.<\/p>\n

\"Schermata<\/p>\n

Why choose .<\/span>one AI over traditional OCR?<\/strong><\/h2>\n

The answer can be summed up in two key points:<\/span><\/span><\/p>\n