Revionics Signs Price Optimization Agreement with Victoria Supermarkets

  Revionics Signs Price Optimization Agreement with Victoria Supermarkets

 Russian supermarket will leverage Revionics price optimization technology to
                           compete more profitably

Business Wire

AUSTIN, Texas -- January 13, 2014

Revionics, Inc., the leading provider of End-to-End Merchandise Optimization
solutions, announced today that they have entered into a multi-year agreement
for Revionics® Price Optimization with Victoria Supermarkets, which operates
83 supermarkets in Russia and is owned by the DIXY Group (RTS, MICEX:DIXY),
one of Russia’s largest national retail operators in the food retail market.

Revionics’ solution will enable Victoria Supermarkets to adopt a
shopper-centric approach to their pricing strategies and tactics. Leveraging
predictive analytics and demand-based science, Victoria Supermarkets will now
have a more robust view of shoppers and competitors to drive better fact-based
price decisions and respond more quickly to dynamic marketplace conditions.
Revionics’ SaaS-based solution was particular attractive to Victoria
Supermarkets due to its ability to enable rapid time-to-value, lower total
cost of ownership and on-demand scalability.

“Through a comprehensive industry search, we found that Revionics solution
would help us adopt a smarter pricing strategy that would result in not only
improving our customers’ shopping experience and our price image, but also
help us obtain optimal profits and margins – it’s a win win for us,” said
Irana Katsiyeva, Marketing Director for Victoria.

“We are very pleased to be working with Victoria Supermarkets,” stated Marc
Hafner, Revionics President and CEO. “Our proven software will enable Victoria
Supermarkets to meet their business and financial objectives while ensuring
they have the most competitive prices in the market.”

About Revionics, Inc.

Revionics delivers the industry’s most powerful End-to-End Merchandise
Optimization solution, enabling retailers of all sizes to execute a fact-based
Omni-channel merchandising strategy utilizing the most comprehensive set of
shopper demand signals to enhance financial performance with improved customer
satisfaction. Revionics’ solutions leverage advanced predictive analytics and
demand-based science to ensure retailers have the right product, price,
promotion, placement and space allocation for optimal results across all touch
points in the Omni-channel shopping episode – online, in-store, social and
mobile.Offered on a scalable, high performance Cloud-based SaaS platform,
these solutions future-proof retailers from Big Data/Fast Data challenges,
while providing speed-to-ROI. Over 37,000 global retail locations and $150+B
in annual revenue across grocery, drug, building materials, convenience,
general merchandise, discount, sporting goods stores and eCommerce sites
optimize with Revionics’ solutions. Revionics has been recognized as a 2012
Deloitte Technology Fast 500™, Red Herring Top 100 Global, Red Herring Top 100
Americas and JMP Securities’ Hot 100 Software Company. For more information,
please visit www.revionics.com.

About Victoria Stores

Victoria retail chain has been successfully operating since 1993 and now
operates the following network ofVictoria Supermarkets and Victoria - Kvartal
Neighborhood Stores. The stores are located inMoscow and in Kaliningrad
region. «Fresh» category and ready-to-eat food have traditionally been the
core competence of Victoria Supermarkets.

In 2011, Victoria was acquired by DIXY Group. OJSC DIXY Group is one of
Russia’s leading retailers of foods and everyday products. As of November 30,
2013, the Company operated 1,719 stores, including 1,604 DIXY neighborhood
stores, 83 Victoria stores, 1 CASH store, and 31 compact hypermarkets MegaMart
and MiniMart. The authoritative Russian rating agency Expert rates DIXY Group
as one of the Top-100 largest Russian companies.

Contact:

Revionics, Inc.
Karen Dutch, +1-916-865-5394 (USA)
Senior Vice President of Marketing
kdutch@revionics.com