New York, NY (PRWEB)
July 08, 2015

Scigineer Inc., a listed company on the Tokyo Stock Exchange, announces its concept store at Decoded Fashion Tokyo Summit 2015 on July 9, 2015. The theme this year at this conference from New York that caters to fashion and leading-edge technology companies is “Fashion in the Digital World: Engaging with Tomorrow’s Consumer.” In a store equipped with the personalization engine “dequwas,” visitors to the event will be able to experience the future of shopping from the consumer’s perspective.

Decoded Fashion was first held in New York in 2012, and has been held at cutting-edge fashion centers around the world, including London and Milan. The Tokyo summit marks the first appearance in Asia for the conference. Scigineer Inc. joins Decoded Fashion at the invitation of conference founder Liz Bacelar.

“Technologies such as point of sales consumer data collected in store are crucial to retailers today,” said Bacelar, “We are delighted to be able to inspire our attending brands with Scigineer newest technologies.”

For the Tokyo Summit, Scigineer Inc. has constructed a store for next-generation Japanese where visitors will be able to enjoy a new shopping experience based on Scigineer Inc.’s independently developed fusion of Complex Network theory personalization technology and fashion, as well as customer service from Softbank’s humanoid robot Pepper.

Humanoid robot assistance and POS-linked print-on-demand catalogs use personalization technology augmented with existing shopping aspects such as online stores. In this way, an omnichannel touchpoint user experience has been designed for the discovery of ‘happiness that can’t be found by search.’

Overview of the Decoded Fashion Shopping Experience

Hospitality based on in-store behavior analysis

Using in-store Wi-Fi access points and video cameras, the system analyzes which shelves the customers browsed, and in what way, right through to purchase, without capturing personal information such as age and gender. This analysis is linked with the technology of Beabloo.

With this in-depth analysis, stores can optimize product display and better allocate staff to increase in-store customer service and provide a superior customer experience. Additionally, linking with in-store digital signage can enable the delivery of personalized information to customers.

Linking with the customer’s location and situation, optimal timing of information delivery

Linking with location information from Wi-Fi and GPS embedded in the smartphone (provided by iRidge technology) enables the delivery of personalized information when the customer enters a specified area.

Without the customer being bothered by unnecessary advertisements at inappropriate times, this system makes it possible for them to get the information they want at the appropriate time and place.

Pepper, the humanoid robot from Softbank provides hospitality, and through conversation, recommends products for customers

“I want to talk with the sales staff and get them to recommend a product for me, but I can’t find anyone to talk to.”

This is an example of what a customer can say to a robot who will analyze their individual preferences and recommend the optimal products for them.

A direct line to the desired product through radar-assisted shopping search

At this event, RFID (radio frequency identifier: near field communication between tag and reader technology is utilized to guide the customer to the place where the desired product is located via a smartphone app. This will reduce time and bother for customers in discovering their favorite products.

Personalized leaflets for increasing brand loyalty

When products are purchased in-store, a personalized leaflet is printed out from a printer installed next to the cash register. This leaflet utilizes purchase history data from the online store to analyze individual customer preferences and provides a printout of recommended items for the next shopping trip.

Upon returning home, the customer can look over the items that match the purchased product.

The products printed on the leaflet can be purchased from the online store, and as the system keeps track of that purchase, the next trip to the store can be handled with an increased level of personalized hospitality. This technology is provided in collaboration with TOSHIBA TECH.

Personalization engine uses data to provide joy in discovery

Scigineer Inc.’s personalization engine “dequwas” is a Big Data analysis technology developed on the basis of Complex Network theory. Free of language constraints and able to carry out integrated processing of diverse data at high speed, the system is used in Japan and globally as a personalization engine and for omnichannel analysis, combining the online and real worlds of shopping. With a vast expanse of data, this system enables consumers to discover products and information that enhance the shopping experience.

See Scigineer Inc.’s shopping technology at Decoded Fashion today on floor B2, Room Brooklyn III.

About Scigineer Inc.

Based on the idea that ‘there is happiness that cannot be discovered via search engines,’ Scigineer Inc. is a technology company founded by an associate professor and research members of the Hokkaido University Graduate School, Complex System Engineering Group.

As “Science＋Engineering＝Scigineer,” the company applies engineering to cutting-edge scientific expertise for the practical application of analysis technology, which utilizes Complex Network theory. The company’s mission is to solve the 21st century challenge of information overload, which leads to the inability to find the things that consumers want. For more information, please visit http://www.scigineer.co.jp (note: site is in Japanese only).

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