PAR Technology’s Punchh® Unveils New Machine-Learning Features to Personalize Loyalty
27 September 2022 - 01:30PM
Business Wire
Leading loyalty software launches Feedback
Sentiment, Smart Segments and Send Time Optimization for all
existing and new customers
ParTech, Inc. (PAR), a global
restaurant technology company and provider of unified commerce for
enterprise restaurants, announced today that its industry-leading
loyalty software Punchh® is expanding its capabilities with three
Machine-Learning (ML) features that will enable restaurant and
c-store operators to better personalize loyalty offerings.
By utilizing ML — the use and development of computer systems
that learn and adapt using algorithms and statistical models to
analyze and draw inferences from patterns — all existing and new
Punchh® customers will be able to utilize inferred sentiment of
guests through feedback left in app reviews, access auto-generated
segments derived from guest loyalty behavior patterns, and increase
guest engagement with marketing communications.
“We’re very proud of the work that our Punchh team has done to
launch these new features,” said PAR CEO, Savneet Singh. “They are
all unique in the current marketplace, and no other loyalty program
in the industry offers ML features as robust and analytical as
Punchh. At PAR, we always strive to maintain our leadership
position in the industry aimed at improving and innovating our
clients' experiences with their customers. These types of
innovations are a prime example of us doing just that.”
Feedback Sentiment is the first of the three new
features. Within the feedback module of the Punchh® platform, this
feature provides insight into guest feedback by applying natural
language processing (NLP) analysis to app reviews. The overall goal
is to provide business users with an accurate sentiment toward its
brand based on feedback from guests and specific consumer
experiences such as customer service, food quality, ambiance, wait
time and app experience.
Smart Segments is a feature within the segment builder
module of the Punchh® platform that provides templated segments
based on pre-defined categories of guest loyalty behavior, measured
through industry-specific combinations of visit recency, visit
frequency, monetary spend and more. The goal of this feature is to
provide pre-generated segments that are immediately relevant to
best-practice marketing strategies used in restaurants and c-stores
to reduce the overhead of manually defined guest segmentation.
Send Time Optimization is the third new ML feature now
offered through Punchh. In typical marketing automation tools,
brands must schedule a specific time for most marketing messaging
to be broadcasted out to the targeted user base. Campaign Send Time
Optimization helps marketers increase guest engagement with email
and push notifications by personalizing the send time of the
message through automated analysis of past interaction data.
More than 200 global enterprise brands, including Yum! Brands
(NYSE: YUM), Fazoli’s, TGI Friday’s, and Casey’s (NASDAQ: CASY)
rely on Punchh to grow revenue by building customer relationships.
To learn more about the Punchh Loyalty Offers and Engagement
Platform, visit partech.com.
About PAR Technology For more than 40 years, PAR
Technology Corporation’s (NYSE Symbol: PAR) cutting-edge products
and services have helped bold and passionate restaurant brands
build lasting guest relationships. We are the partner enterprise
restaurants rely on when they need to serve amazing moments from
open to close, during the most hectic rush hours, and when the
world forces them to adapt and overcome. More than 100,000
restaurants in more than 110 countries use PAR’s restaurant
point-of-sale, loyalty and back-office software solutions as well
as industry leading hardware and drive-thru offerings. To learn
more, visit partech.com or connect with us on LinkedIn, Twitter,
Facebook, and Instagram.
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version on businesswire.com: https://www.businesswire.com/news/home/20220927005321/en/
Christopher R. Byrnes (315) 743-8376 chris_byrnes@partech.com,
www.partech.com
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