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Retail Technology, Retail technology News

Ocado updates competitor pricing intelligence

Tuesday October 2 2012

Online grocer selects Profitero for advanced competitor price monitoring

Online grocer selects Profitero for advanced competitor price monitoring


UK pureplay online supermarket Ocado is using competitor price monitoring technology from Profitero, it has been revealed.


In order to offer better value to its customers, online grocer Ocado has signed up with Profitero to provide it with the daily online pricing data of its competitors.


The timely pricing information will enable Ocado to benchmark its products’ prices against those of its competitors.


Managing competition at scale


The provider said Ocado chose its technology offering as the most scalable in the market. Angela Coyle, Profitero marketing manager, in the company’s blog late last week that the patent-pending matching technology delivers the highest match rates and accuracy in the industry – with a 25-30% higher success rate than the competition. It also allows for customisation of a client's product matching requirements. offers competitor price monitoring on A-brands and own-label products

As well as providing branded product pricing information, the technology also matches and normalises weight and volume for private-label competitor matches at scale for benchmarking own-label products against any competitor and automated private-label matching for the UK fast-moving consumer goods (FMCG) market.


Accurate pricing information


Thomas Thomaidis, head of grocery merchandising and insight at Ocado, stated: “Accurate pricing information is vital for Ocado to find opportunities to improve our value and range offer to our customers. Profitero have understood our mission to be different and have met all of our challenges in every step of the journey to achieve this.”


Trading since 2002, Ocado delivers over 28,000 product lines, including big-name brands, Waitrose goods, a range of over 430 own-label products and now a growing non-food selection through a centralised distribution model.