ILMA Compoundings - June 2021 - 20
AI can also supersize the cost savings of automation used
in back-office functions. In accounting offices, automation is
reading and responding to invoices, saving costs by allowing
businesses to rededicate people away from repetitive tasks to
more productive customer outreach and other innovations.
AI can take automation a step further - perhaps learning
to read all the different forms of invoices that come through
the system and minimizing the need for human intervention
to resolve inconsistencies, said Datacor Chief Technology
Officer Doug Salas.
Lubricant manufacturers already have at their disposal
all the data needed to incorporate AI into operations, said
McCusker. They know the costs they're paying for raw
materials and charging for finished products. Such data can
be compared to metrics such as volume " to determine which
algorithms to use, where you should be reviewing price, and
where someone's leaving margin on the table.
" You don't have to key in all that data, " he added. " You're
getting it from just doing your day-to-day accounting and
inventory control. "
REAL-WORLD, REAL-TIME DATA
If ever a field were made for Big Data, lubricants is it. On
the vehicle side alone, hundreds of oil brands offer products
for thousands of OEMs building everything from autos to
construction equipment. Olyslager, the Netherlands-based
20
JUNE 2021 | COMPOUNDINGS | ILMA.ORG
worldwide market leader in lubricant data for the oil industry,
collects data from 2,600 OEMs and helps more than 200 oil
brands develop their " oil guides " and cataloging systems.
" There are a lot of oil brands, and all of them are using
the data in a certain way, " said Olyslager President and CEO
Harald Oosting.
In an industry driven by sustainability mandates and
AI within vehicles themselves, current data is crucial as oil
brands revise their formulas to accommodate longer oil
change intervals, thinner oils and lower emission levels,
said Aries Aquitania, vice president of sales for Olyslager.
" OEMs want to recommend the right product for the right
vehicle for the market, " he said. " It's about access to accurate
information, not just some of the time, but all of the time.
That's the important part about data. You need to get it right
every single time. You will not be remembered for the 99
times you got it right. You will be remembered for the one
time you got it wrong. "
For lubricant manufacturers, Olyslager's new Market Analyzer
combines three databases - vehicles in operation by
country, lubricant requirements by oil quality and viscosity
as reflected in data garnered directly from OEMs, and the
products that oil brands recommend from their lines for
specific vehicles.
Pull them together and a picture emerges of oil quantities
in use and the vehicles and even vehicle types - not just
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ILMA Compoundings - June 2021
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