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"Our revenue increased by 1% incrementally three months after a data-driven mechanism was adopted within the pricing engine. The solution factors in product cannibalization and seasonality to calculate demand elasticity. It suggests optimal prices and the best promotional products, among other tasks."
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“Time was an issue for us, as we didn’t know when exactly Amazon was about to launch in Sweden. Nonetheless, our key requirement from a data provider was to receive Amazon Sweden and its sellers’ prices within 24 hours after the marketplace launch. Competera did the job within 8 hours, …
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"With the implementation of Competera, Samokat significantly reduced the time spent on repricing daily: earlier the assortment calculation was taking up to 3 hours, now we receive final results in 30 minutes and are ready to proceed with strategic decisions."
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“As long as we used an SKU-centered approach, we could have gained a sales boost for a single SKU but the related products immediately dropped in volume.”
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"We've been using Competera for only a few months but it is already indispensable for the team. Out of all the benefits it has, Competera helped us reduce manual work and save plenty of time that we can now spend on strategically important tasks. We are now capable of tracking …
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"Maxtool is at the stage of advanced market analysis and automated repricing within our pricing journey. We get help from Competera's platform and find the platform an appropriate to reach comprehensive price optimization. We've already made a huge step in securing our market strategy and handling negotiations with vendors. Now …
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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'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 …
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"Pricing races are growing non-stop. Setting the optimal prices is the key instrument to manage retail profits efficiently. The main question is what a reasonable price range and adjustment to increase sales and keep the margin optimal are."
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"I want to recommend Competera pricing software for other Category Managers because it is an efficient and easy tool for price monitoring. MyToys has been using the Price Intelligence tool from Competera for 2 years and it was really good. First of all, the quality of data was permanently efficient. …
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"Thanks to Competera, we have a very comprehensive and up-to-date picture of the market at any given time, which helps us make far more well-informed and beneficial pricing decisions and set optimal prices across our entire assortment. Ultimately, Competera helps us reach the most important goals which are to increase …
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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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"Tink has found an efficient partner in pricing through Competera! Now we can achieve our goals properly via price management as Competera produces the pricing recommendations based on our internal data."