Right Prices. For The Right Products. Every Day
Сompetitive pricing and assortment analysis, dynamic pricing, market data and price optimization for retail teams to meet sales targets, and achieve optimal price positioning.
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Our Price Optimization produces AI-driven price recommendations for retailers to convert demand predictions into revenue.
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Businesses can set optimal prices for their products according to their sales, revenue goals, and objectives and can observe the impact of their pricing decisions before, during and after making them.
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Competera Competitive Data consists of premium, high-quality competitive product and price data for enterprise eCommerce companies. We collect data from thousands of websites and different markets using a dedicated and customizable crawling approach. The secret sauce of this solution is full customer centricity.
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Real-time market positioning, actionable insights and pricing opportunities. Get to know your competitors 360°
More about Competitive IntelligenceOnline retailing builds a strong brand image and consumer confidence, but actual purchases still happen offline. The optimization of pricing key value items and categories is crucial to establishing consumer value.
of shoppers choose the retailer with an optimal price
Create a better pricing strategy
In order to ensure a highly personalized shopping experience, we will enhance your team with advanced machine learning practices. At any given moment you will have the optimal price to meet your revenue and sales targets.
Performof managers spend 40% of their time validating and fixing data
Execute optimal pricing smoothly
Make zero mistakes. Apply better prices with the help of the best industry product dataset supporting any requirements, and secured by a Service Level Agreement.
Executeonly 10% of retail teams hit their KPIs
Gain better results guided by ML
Predict the impact of any pricing or promo decision for the whole assortment and ensure that at any given moment you have the optimal price to meet sales goals. The algorithm always knows when and how much to increase prices without losing sales, while managers can focus on strategic decisions.
DiscoverCompetera 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. Show more
I’m a current user of the Competera pricing software. I’d say the big task is done for the managers of product categories in the online channel. Online fully automated competitor’s price tracking helped us significantly reduce the time for data processing and product pricing. After the integration with the service our prices got protected from possible human errors. Show more
Having more than 7000 products in our range can be difficult to monitor from a pricing perspective. In the gift retail sector, prices change every day and for us to deal with all that new data is a real challenge. We wanted an accurate and reliable pricing solution that could help us be more price competitive and gain more profit per product. Show more
To increase revenue, we have adopted a mechanism within the pricing engine which can calculate demand elasticity while factoring in product cannibalization and seasonality. The solution has suggested the best promotional products and set the optimal prices based on competitive data, among other tasks. According to our estimations, the mechanism alone has incrementally increased revenue by 1% over the period of three months Show more
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 prices in real time. We could put together a whole department of data scientists instead, but it would take a long time and cost a lot. So, we preferred a technological solution from Competera and raised our revenue by 16%. Show more
