MPS Monitor announced a set of new features targeted at improving supplies monitoring, shipments and analytics on its fleet of more than one million devices. The new features are being released under the brand name of MPS Monitor Supplies Intelligence.
The MPS Monitor platform is now able to predict on which day each single toner or photoconductor in each printer will reach end-of-life and when it will need to be replaced. It can also determine how many pages each consumable being used in each device is expected to produce in its total life, and how much this may differ from the standard yield declared by the manufacturer. Finally, it is able to calculate a value for the average toner coverage of each device and of each consumable cartridge.
MPS Monitor’s automatic supplies’ replenishment service relies on this algorithm to enable the management of consumable alerts and shipments based not only on a residual level, but also on the number of days remaining until full depletion of the consumable, or even on the number of pages remaining to be printed by the cartridge. This means that users can now decide, for their entire fleet, or for some specific customers, models or single devices, whether their consumable shipments are driven by the actual remaining level, by the estimated end date or by the page volume yet to be printed by the cartridge.
The use of AI and ML technologies enables the system to ‘learn’ not only from the history of the single device, but also from the entire population of thousands of devices of the same brand and model present in the MPS Monitor database.
Commenting on the introduction of MPS Monitor Supplies Intelligence, Nicola De Blasi, CEO of MPS Monitor, stated: “The pioneering use of technology to drive innovation is core to MPS Monitor’s DNA. Today, this is reflected in MPS Monitor Supplies Intelligence, which embraces AI and ML in a unique algorithm. MPS Monitor Supplies Intelligence has made device management fit for today’s data-driven dealers and resellers of printers and multifunction devices, providing them with access to real-time, granular information, which is essential for swift and effective decision making for improving supplies monitoring, shipments and analytics.”
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