Price Optimization Software
for Retail

Reach your targets and raise revenue with Competera’s software, all in just two months.

  • Set optimal prices using ML-driven recommendations
  • Switch from traditional to a goal-driven approach
Google Cloud
Competera Became an Official Google Partner

Retail pricing software trusted by market leaders worldwide

Reach goals — repeat success with accurate price optimization modelling

With Competera, retail teams can monitor achievement of their business objectives receiving notifications of progress as well as direct guidance for proper goal management. Category managers can operate with market predictions of 90-98% accuracy.
Step 1

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%

Your fastpass to optimal prices

Reprice your products 5 times faster than traditional methods and save up to 40 hours of work per month.

Thanks to Competera, we have a very comprehensive and up-to-date picture of the market at any given time, which helps us set optimal prices across our entire assortment. With Competera, we reach the most important goals which are to increase sales and stay competitive.

Mantė Omilevičiūtė
Mantė Omilevičiūtė
Junior Pricing Manager at Kesko Senukai Digital

Competera offers great software for price optimization. We always have the best market coverage and insights to make the right pricing decisions. This makes our pricing strategies far more competitive, efficient, and proactive than ever before.

Irina Khristoforova
Pricing Analyst at Leroy Merlin

Competera is a perfect means of goal management as it helps us to track the performance on our strategic targets and identify areas for further growth.

Kevin Lebron
Kevin Lebron, merchandising Manager
FSA store, USA

For a few months Competera helped us reduce manual work and save plenty of time. We look forward to enhancing our position with Competera via advanced price optimization and proactive pricing.

Robert Smigner
Robert Smigner, E-commerce Merchandiser
Vision Direct, United Kingdom

We have adopted Competera pricing engine which calculated demand elasticity while factoring in product cannibalization and seasonality and increased revenue by 1% over the period of three months.

Tatiana Tepliashyna
Tatiana Tepliashyna, Product Owner and Business Analyst
Staples, Netherlands

The things I enjoy most about the Competera platform are the proactive pricing system and effective sales planning.

Karel Mommers
Karel Mommers, Pricing and Analytics Manager
Max Guitars, USA

We've already made a huge step in securing our market strategy and handling negotiations with vendors. Now we strongly look into the future when shifting to ML-based price optimization.

Rick Conley
Rick Conley, Head Buyer and Director of Vendor Relations
Maxtool, USA

Test, learn, and improve

View comprehensive reports on profit margin, sales items, gross profit, and more for easy analysis.
Use our Sandbox mode to try out different strategies and determine their effectiveness risk-free.
Step 2

How pricing optimization solution works

Foxtrot, an omnichannel Eastern European consumer electronics retailer with $500 million in annual turnover, wanted to stop copying competitors’ pricing moves and maximize revenue without risking profit margins.

Competera helped Foxtrot to:
  • Maximize revenue without losing profit margins
  • Save time for negotiations with suppliers
  • Switch from reactive to proactive pricing
Step 3

How to get optimal pricing in 60 days

Competera considers your entire product portfolio when creating price predictions.
Optimal prices are determined in a 4-step process:

2 Month
1 step

Add your historical data spanning 2 years or more

2 step

Define your targets and choose a repricing model to increase sales volume or revenue

3 step

Add your rules and constraints

4 step

Get optimal prices, apply price recommendations, and feed in to your ERP

Control algorithm
with your own rules

Forget of software tyranny. Competera recommends prices considering your goals and constraints, including MAP policy, repricing steps, stoplist to exclude the repricing, and other custom criteria.
Step 4

Solution for business
of any size and complexity

Obtain goal-driven and elasticity-based pricing at portfolio level. Competera allows to reprice products at any level from specific categories and stores to countries and world regions.
Step 4

Don’t take our word for granted! Enhance your pricing using advanced price optimization software provided by Competera.

Don’t miss out on the retail revolution

Enhance your pricing using advanced price optimization software provided by Competera.

Best Analytics / BI Solutions

E-commerce Germany award

Price Optimization Solutions


#1 eCommerce Solutions Software 2019


Top 3 startups at the AI Summit

London Tech Week

Now Tech: Pricing and Promotion


High Performer 2020

G2 Crowd

Learn more about our platform

How Price Optimization Works?

Our software powered by a dense neural network combines strategy, business rules, ML, and data to recommend optimal prices and forecast the effect on the demand. The model guarantees 90-98% short-term prediction accuracy.

  1. Add history of 2+ years data sources
    • Sales transactions
    • Stocks
    • Assortment info
    • Repricing activities
  2. Define business targets

    Choose the right repricing model to increase sales volumes or revenue.

  3. Define business constraints

    To control the repricing outcomes, add multiple business rules - from maximum number of repriced products, groups of products locked for repricing to costs & MAP.

  4. Get optimal prices

    Apply price recommendations to reach your business targets.

Machine Learning Solution Solves Real-world Retail Problems

Sell slow moving stocks

Optimize prices while taking into account the profit margin of your entire product portfolio

  • Loyal customers are focused on high-margin products
  • The profitability of your product portfolio remains unchanged
React to the rise of purchasing prices Actions

Apply a differentiated approach to pricing. Run several repricing cycles with uneven price ranges to reach KPIs gradually

  • Retain profitability for your entire product portfolio
  • Maintain revenue
Boost sales of fast moving products Actions

Do not change prices, or raise prices for part of your assortment to improve the price perception of chosen products

  • Fast-moving products that consistently generate revenue