Tag: Datacap

AI combines payments and open invoices

Elinar uses AI to combine payments and open invoices 

Our client’s business challenge was receiving multiple open invoice payments made into one transaction. This problem occurred with international companies, especially. After implementing Elinar’s AI solution, the degree of automation in invoice processing will grow from 40 % to 80 %. Background Many companies are struggling with the problem, that the client’s payments don’t correlate […]

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AI powers up sales order processing

AI powers up sales order processing

Taking advantage of AI capabilities can dramatically enhance the effort-to-value-ratio of sales order processing Sales orders come in countless forms. Orders come through email and someone has to process them into the ERP system. It takes routine human effort to scan these orders and collect the essential information for further processing. Sales orders can be […]

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Elinar at seminar

The Advantage Breakfast Seminar

The Advantage Breakfast Seminar Invest half a day together Elinar, Provad and Silo.AI and learn more about artificial intelligence. Our CTO Ari Juntunen speaks about what opportunities AI can offer in your business. One of our example case is “how to detect fraud from video sequences”. Where: Hotel Kämp, Pohjoisesplanadi 29, 00100 Helsinki When: 08:30-11:30 […]

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Datacap Seminar in Helsinki and Oslo

Datacap Seminar in Helsinki and Oslo

Welcome to Datacap Seminar Data holds enormous potential, but only a few organizations know how to really utilize it for their advantage. What’s your data strategy for digital business? Control your costs, minimize the number of errors and beat your competition by doing things smarter. Attend our seminar – let’s explore together how to achieve […]

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GDPR with AI for enterprise

Many large enterprises are facing significant challenges on GDPR Discovery process in complex enterprise environments poses significant challenges. The challenge comes from multiple unconnected consumer identities across IT systems to old legacy databases with very little documentation…and too much Cobol. On the other hand even modern archives host large volumes of image based data that […]

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