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"Two months ago we started receiving market insights about our competitors from Competera pricing software. Competera offers lightweight integration, actual and reliable data, good support, and information updates due to Elkor needs. Their method of collecting data did not cause an overload of our website, so we were able to …
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"Competera helped us monitor the prices on our products at different markets, price aggregators, and marketplaces. Prices variations of our products are quite frequent in the market. Competera provides very useful tool for eCommerce purposes to monitor the products pricing across the online channel. A special thanks for quickly and …
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"Competera platform is a great tool to sustain the right price perception and keep customers satisfied with our prices. The data-driven insights generated by the platform help bringing our mission to life, i.e. provide a unique digital experience and excellent service to our clients."
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"When using machine learning in repricing, we set business goals and constraints. Machines do the rest of the job. In other words, we do not do repricing per se, but we set the rules of the game and control the results.Technology does boost the financial performance of your company. As …
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"We have been searching for a good software service for a long time. Our partners recommended Competera as a perfect price monitoring tool. The business development manager presented the demo and we ascertained that Competera Price Intelligence is a great solution for our business. On top of everything else the …
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"Quick, a good value for money and a very helpful support team. It was a very short time from start to finished setup, we could get value for money almost from the get-go."
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"The eCommerce market is heading towards efficiency: less manual tasks, more automated and optimized operations, which augment human expertise and enhance product managers. You cannot do without it. Robots (automated systems) have to calculate optimal prices. The only way to stay in the market is to use automated pricing systems. …
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"It was crucial for us to make sure that our pricing vendor clearly understands the retail industry, level of competition, and key metrics and has vast knowledge of category management as well as technical excellence. Competera checked all the boxes, and I was impressed by the rapid integration."
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"The pricing experts from Competera made us see that it is not necessary to reduce the price and lose margins while fighting with competitors for customers loyalty. We integrated the Price Intelligence tool to adjust our pricing in view of our sales goals and competitors’ pricing behavior. We certainly appreciate …
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"As the business was scaling, it was important for us to base our pricing decisions on market trends, website analytics, and other crucial data points that a pricing manager can hardly embrace all at once. Competera’s smart algorithms made our price management data-powered and proactive and saved the team 50% …
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"Competera’s profound industry expertise and unique Machine Learning algorithms under the hood made us choose it as a technology vendor. Its usability is the stand-out point to highlight: Competera would let you embrace all the key SKU groups at first glance, track inner pricing architecture and business constraints, enjoy automation …
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"I work in sdvor.ru, online retailer of building and finishing materials in six regions of Russian Federation. Price tracking of the product categories in our industry is quite time-consuming: huge assortment, wide geography of distribution, commodity differences among competitors. Competera allows us to assess the situation on the market and …
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"I use Competera's platform to always be aware of market conditions and our price positioning. Our online store has many products and the huge geography of distribution. With Competera I’m sure we have the best price for every product at any given moment."
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"I'd say Competera completes a large chunk of our product category managers' tasks. Competera’s fully automated pricing cutting time for better decisions. Competera protects our prices from possible human errors."
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"We were looking for an algorithm-based solution which could scale and consider all the factors which influence prices and which we usually neglect. We realized clearly that our managers would not be able to handle all of these variables, including all our historical data spanning 24 years, and offer optimal …