High-quality data is a must for a winning pricing strategy, which allows setting optimal prices, attract and retail customers, and increase revenue.Request Demo Get Pilot
The majority — 81% — of customers base their purchasing decisions mostly on a price. Thus, the stats prove the importance of competitive pricing for outselling competitors and generating more revenue.
Big retailers such as Amazon, eBay, and the likes, tend to reprice several times per day. Smaller retailers, who cannot afford to reprice that frequently, need to react to the market changes by setting the right price based on the fresh data as rapidly as possible.
Competera offers a SaaS solution which helps businesses track any changes in competitors’ activities, including but not limited to price changes, stock, and promos, and use the data to build an effective pricing strategy.
Retailers which have thousands of SKUs to manage very often do not have the human capacity to analyze, let alone reprice, their whole assortment. They fail to offer the optimal price, and thus lose customers and revenue.
Competera’s AI-based solution offers not only competitive data collection but also the market analysis and pricing insights which retailers can use to create the right pricing strategy.
Machine-based pricing software provides accurate, fresh and complete data on a schedule, and, unlike humans, is errorless. Besides, it seamlessly integrates with the retailer’s current operations and provides data based on the retailer’s business and technical needs.
With Competera, retailers stay ahead of the market and increase their revenue.
Competera’s Price Index maps the retailer’s position on the market, shows how the market dynamics affects sales and delivers data on competitive prices, promotions and stock availability.
Competera’s machine algorithms collect competitive data by the parameters and schedule set by retailers and analyze it to make pricing recommendations.
Unlike humans, algorithms are incapable of mistakes.
With Competera’s Competitor Price Monitoring retail teams switch from collecting data manually to strategic tasks, including defining pricing strategies and ensuring the algorithm operates in line with business goals.
The algorithm “records” every pricing decision and its outcome, which allows repeating successes.
by the parameters and schedule set by the retailer
with standalone adjustments for different categories, brands, and products
that does not overload websites
and customer support 24/7
about significant market changes
Developing and implementing of a proper pricing strategy is easier
and more efficient with Competera