Doxis (formerly Klippa) vs. IBM Watson Discovery

Klippa does well with invoices without graphics and logos. If you can convince your suppliers to remove their branding and submit plain company names it will perform better. One issue that I could not overcome was when a supplier used "SO" (for Sales Order) as the prefix for an invoice. Every time the OCR ran it deciphered this as "S0" S-Zero. I wouldn't downgrade my rating based on that though. My one significant disappointment was I was led to believe that they would tailor the template for us. There was some minor work around our local tax rules but when it got to specific coding for our purchase order numbers the work ceased. To be fair, I may have misunderstood the scope of what changing these templates was included in the agreement. Either way, we could work around it so it wasn't a major flaw.

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Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.

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• Identifies invoice numbers.
• Extracts text from any angle - 45 degrees and upside down.
• Extracts line items from a printed invoice.

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• It is an excellently fast platform with documents and the answers to queries.
• With automation learning beneficial as it saves time.
• When searching for a document, everything stays located and easy to find.
• Acceptance of various documents.
• It has a quite comfortable Technical support, always available when required.

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• More flexibility in tailoring the templates to suit individual customers.
• Better documentation around the API; as I recall it was hard to find.
• Commercial follow up. No one has contacted me since my initial purchase.

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• I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
• The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
• Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.

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IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.

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Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.

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Klippa is optimised for invoices. Wins hands down.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).

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• To early to tell, our app has been delayed due to other COVID related activities.

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• We find its Enterprise plan expensive for a country of LATAM. For US or Europe based businesses, looks great.
• A Big Data and massive queries based company would find the service expensive. Maybe a flat price plan would be helpful.
• Have you thought in making a cheaper plan where you take the learning from your customer's data to enrich your AI tool?

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info