"We appreciate market insights provided by Competera. I suppose, the first criteria to choose the price monitoring software is timely data delivery and competitive insights. We have read the numerous reviews and opinions and decided to choose Competera's solution - Price Intelligence. We highly appreciate the actual and reliable recommendations …

"Advanced algorithms reveal cross-dependencies in product categories or between them, sales cannibalization of categories or individual products, market trends, and dozens of other factors that influence sales. For a long time, there was a belief that such solutions are much-in-demand in grocery retail only, but our project proves it wrong. …

"We believe Competera is the best in the industry. Their platform provides a set of tools — including market-based pricing and Al-driven demand-based pricing — that offer solutions to an immediate need, as well as our long-term plans. They have quickly become a strategically important player that we entrust with …

"Canadian CPG Company is a premium North American consumer brand. Competera is our reliable partner, providing us with a MAP monitoring tool for the last year. Our Brand Intelligence campaign enables us to monitor the minimum advertised price of over fifty North American e-tailers. The MAP violations report, facilitated by …

"With Competera, we strengthen our pricing attractiveness across key products in the Indonesian online retail market. The platform delivers actual pricing recommendations in a usable format, allowing us to make considerable changes in the assortment to keep up with our regular marketing campaigns."

"For quite a while, pricing managers sought an optimal price for their product categories. In most cases, the decision was simply to lower the price. In other words; to lower the margin. Fortunately, we connected with Competera four months ago and now we have the truly optimal prices - not …

"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 …

"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."

"Kamera Express has been working for more than 5 years with Competera. We started working together in the autumn of 2016 after an extensive search for a new supplier of reliable data on competitors. While cooperating with Competera we switched and expanded the number of competitors we monitor multiple times. …

"There are two things I like best in daily, use of Competera. It has a user-friendly interface and a great customer support team. I’ve been using Price Management product for only a short time, but the results are already pretty obvious. Now I can automatically manage the product categories much …

"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 …

"We hired the Competera price optimization tool to get enough reliable data for competitive intelligence. As a result, we increased the sales rate, revenues, and implemented an advertising campaign much more efficient."

"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."

"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."

"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 …