Sophatar & QM-Scientific Launch Interactive Digital Signage, AI-Based POS Analytics & Recommendations, and Mobile Wallet Marketing as a Single Software Subscription Service for Brick & Mortar Retailers

Silicon Valley startups Sophatar
and QM-Scientific
introduce a complete solution for customer engagement to brick & mortar
retailers. The platform consists of interactive proximity-enabled
digital signage, a POS analytics and recommendations engine based on
machine learning, in-store traffic analysis, speech recognition, dynamic
multi-lingual voice announcements, mobile wallet passes, and an optional
mobile app or software development kit (SDK).

The interactivity of the digital signage component of the system is not
based on expensive large-screen touch screens or intrusive cameras, but
uses a smartphone and any regular digital display. The Sophatar software
turns the display into a proximity-enabled digital signage screen for
which in-store customers can use their own mobile phone as a remote
control – no connection to in-store Wi-Fi required.

Applications include personalized product recommendations, virtual sales
assistants, wayfinding, and ‘endless aisle’ store purchases from the
customer’s own phone.

The content shown on in-store digital signage screens and mobile phones
can dynamically adapt based on product recommendations from the
QM-Scientific data analytics engine.

Says Bart DeCanne, founder/CEO of Sophatar: “This is the first time
in-store customers have a 2-way personalization experience to make
digital signage more relevant. Their phones not only show nearby
products, relevant to their interest profile, in a retail store, but
customers now also can use their phones to start & stop playback of
digital signage associated with those products on in-store screens. Just
as websites personalize content, we can now do the same in physical
spaces.”

He continues: “Even when not interacting with your phone, we can
dynamically adjust in-store digital signage based on aggregate
demographics and interest profiles of people in the store now. Our
approach has been granted a US patent. We don’t do hardware; we’re a
pure software subscription service. Our default subscription uses Apple
TVs or iPads as media players, making it extremely cost effective. To
detect proximity we don’t need standalone beacons as we use the
Bluetooth beacons already built into these devices. We’re currently also
porting our software to digital signage players of other OEMs.“

Faris Alqadah, founder/CEO of QM-Scientific adds: “QM Scientific’s
AI-powered retail platform increases consumer engagement through
purchase prediction and smart product recommendations. Using proprietary
deep-learning AI, the platform learns individual shopping preferences at
unprecedented levels of granularity by analyzing past transaction
history while actively adapting product recommendations to real-time
in-store conditions. We are extremely excited to partner with Sophatar
to offer this combined solution that enables retailers to delight their
customers with truly individualized in-store shopping experiences and
increase average ring at the register.”

During NRF’s Big Show, January 15-17 at the Javits Center in New York, a
live demo of the solution optimized for convenience & grocery stores is
on display at Sophatar booth #452.

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