Price Tracking and Monitoring Software

Competera platform helps your commercial team to stay proactive with:

smart scrapping based on real competitors’ identification
up to three times faster price monitoring
fresh data with an accuracy rate up to 98%

What is competitor price monitoring software?

Price monitoring software is used to get fresh and correct information about prices, promos, availability, product visual representation, customer reviews, and other data from competitors’ websites.

Comprehensive price monitoring enables retailers to grow by further implementation of automated pricing rules and price optimization.

Always right and timely pricing decisions

Competera provides category managers with market insights on MAP policy execution, stock availability, promo, credits, and other crucial variables helping to find new sales opportunities and outperform competitors.

Why choose Competera?

Competera is an all-in-one pricing platform with a disruptive pricing approach leading to touchable results for omnichannel retailers.

Let us show you

Turnkey solution Reprice thousands of SKUs from Day 1
Suits any portfolio Manage any number of categories
Technological transparency Feed in dozens of constraints

Let us guide you

Individual pricing design 4⁴ pricing solution combinations
Short-term forecast Assumption accuracy 90%+
Well-balanced pricing Consider dozens of factors and manage 2 KPIs at once for optimal prices

Let us impress you

Subscription-based mode Minimal subscription - 1 year
Fast integration Integration & first profit - in 60 days
PoC-proven results Duration up to 90 days
Guaranteed projected profit ROI 600%-800%

Use smart scraping to get the data you need

Each competitor impacts your sales in a different way. An average assortment intersection with other retailers is 35%.

Competera’s helps to identify your real competitors with no risk of being misled by irrelevant data.

Make the first step to optimal pricing with competitor price tracking

To start the journey to optimal pricing, retailers need fresh and correct data about competitors and their pricing policy.

Goal-driven

Goal-driven scenarios based on ML/AI models and automated pricing for the whole retailer’s portfolio
Proactive

SKU & description-based approach with pricing rules and recommendations
Market-driven

Using of market & product intelligence, sophisticated product matching and competitive analysis
Traditional

Using of inaccurate and fragmented data with manual checks and human-centric decisions