Prepared for Tracy | Delivered August 6, 2019
Restaurant Fraud Detection Technologies
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To identify existing technology products that help restaurants identify and reduce fraud for the purposes of competitive analysis.
Preliminary research indicates there are several technology products available to help restaurants identify and reduce fraud. A few of our findings are below.
Upserve's POS platform integrates with a module called
that syncs restaurants' recipes and reduces subsequent loss because "ingredient usage is
Using Upserve Inventory allows restaurants to know exactly how much of a product is supposed to
leave the restaurant
, which allows them to identify fraud more quickly.
Avero's predictive analytics module "
monitors and scores
every front-of-house employee across seven 'watch types,' including comps, tip inflation, auto gratuity, check reuse, voids/promotions, transfers, and POS authorization."
analyzes employee patterns
and compares peers across POS data to isolate historic trends.
Restaurant operators are then apprised on which employees "
trigger the most alerts
and where problems are most likely to be occurring or will occur given isolated patterns."
Tenzo's POS system has an AI component that can use historic sales data, weather predictions, events, and labor schedules to identify
server performance issues
For instance, it can identify bartenders who are
pouring too much alcohol
or waiters who are giving customers breaks on food or drinks by ringing up less expensive items instead of what is being delivered.
Tenzo can identify servers with consistently low average
spend per guest
when compared with other servers or with unusually high numbers of credit card transactions, both of which can be an indication that the servers could be
is a tool that ensures employees "pour the proper
quantity of beer
for each guest, keeping waste from over-pouring at a minimum."
For instance, the tool allows restaurant operators to see that "
of a particular draft were poured at 2:45, but nothing was rung up in the POS until 3:07, or that two guests were served at the bar at 5:30, but only one glass was recorded in the POS system."
is a loss prevention and employee performance monitoring tool that uses AI to analyze POS data for suspicious transactions (transfers, voids, comps, etc.).
Managers receive an
instant mobile notification
if suspicious activity is detected.
ENVYSION AND SOLINK
Envysion and Solink
are video surveillance and data platforms that use AI to "detect repetitive events and recognize them as normal or suspicious activities."
POS transactions are matched with these
and if suspicious activity is detected, an instant notification is sent to the restaurant operator.
Forter uses a "team of experts" that feed data into machine learning systems and can help restaurants
identify fraudulent customers
(i.e. those who may be abusing coupon services) and "prevent this bad customer from further actions on the site."
Forter's AI system uses more than
6,000 individual data points
to distinguish between customers restaurants want to keep and those who are fraudsters and need to be stopped.
In addition, Forter does not simply provide restaurants with the raw data. Instead, its team of human experts performs "the
ongoing, in-depth research
required to fine-tune [its] technology, adapt to new techniques, and customize the solution to [their] individual needs.
Using AI, First Data's Fraud Detect product "analyzes vast data sets to
and potential chargebacks."
This product also uses information from the
that can typically only be accessed by cybersecurity experts to help identify potential fraud.
It can "score and assess transactions in
less than a half second