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Return On Investment
In Today's challenging business environments, organisations need to know that their investments will deliver convincing results, for both short term project goals and long term strategic success. Imscan Systems have analysed both industry and customer statistics to provide persuasive return on investment (ROI) arguments in key business solution areas.
IMSCAN Auto Classification technology provides typical productivity gains of 333% in low to mid document volume environments. Based on figures from a number of live projects (low-level processing volumes circa 60,000 docs pa), manual document processing time can be reduced from a typical time of 300 seconds down to 90 seconds for each invoice. This takes into account the entire invoice cycle. The productivity gain is thus 333%. This increases with higher volumes.
Even the most basic indicators point to productivity gains of an average 200% in low volume environments. Because the classification tool is not restricted to known documents, the adaptation and maintenance work necessary during introduction and operation is very low. Manual effort for data capture and completion is greatly minimised, whilst the total throughput is significantly increased.
Customer Services Improved
From studying IMSCAN projects from inception through to the end of the first 12 month period, response and resolution times in the customer services and credit control environmentss are typically increased by 400%.
In one study, IMSCAN improved overall query times from 12 minutes to 1 minute. This included the initial phone call, IMSCAN system querying and verbal, emailed or faxed response back to the customer/supplier. This performance increase enabled the re-allocation of human resources to more profit optimizing activities, whilst providing an enhanced level of service to the customer.
For a more detailed look at Return On Investment, together with real-world figures, contact us now. (UK) Telephone 01925 761000. (USA) Telephone 800-222-6372. Or you can email sales@imscan.net
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