Markdown optimization for retailers

Hit the stock level and get maximum possible profit margin with discount depth differentiated on SKU-level, optimal markdown sequentions, and analytical prognoses on goal achievement.

Market Test

Retail Fit

Competera is an industry-agnostic solution suitable for omnichannel, mono- or multi brand retailers with a certain business maturity.

Cost-plus

Margin-centric

Ad hoc repricing

Human-driven decision

Market-driven

Competitor-centric pricing triggered by market changes

Regular repricing

Constant manual check

Data dependence

Rule-based

Based on rules and business constraints

Automated real-time repricing

Human-supervised

Market-share focused

Elasticity-based

Mix of rules & demand-based pricing

Goal-oriented repricing

Manager as a strategist

Portfolio coverage

Personalized

Shopper-centric pricing

Individual offers based on LTV

Balance between customer demand and business goal

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Pricing automation

Coherent, fast and flexible pricing with defined workflows and a transparent cause & effect analysis of every price change. Details

Price optimization

Elasticity-based price setting driven by demand patterns, products cross-impact and more than 20 pricing and non-pricing factors. Details

Cost-plus

Margin-centric

Ad hoc repricing

Human-driven decision

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Pricing automation

Coherent, fast and flexible pricing with defined workflows and a transparent cause & effect analysis of every price change. Details

Market-driven

Competitor-centric pricing
triggered by market changes

Regular repricing

Constant manual check

Data dependence

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Pricing automation

Coherent, fast and flexible pricing with defined workflows and a transparent cause & effect analysis of every price change. Details

Rule-based

Based on rules and business constraints

Automated real-time repricing

Human-supervised

Market-share focused

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Pricing automation

Coherent, fast and flexible pricing with defined workflows and a transparent cause & effect analysis of every price change. Details

Elasticity-based

Mix of rules & demand-based pricing

Goal-oriented repricing

Manager as a strategist

Portfolio coverage

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Price optimization

Elasticity-based price setting driven by demand patterns, products cross-impact and more than 20 pricing and non-pricing factors. Details

Personalized

Shopper-centric pricing

Individual offers based on LTV

Balance between customer demand and business goal

Competera Pricing Platform

A unified workplace with an easy-to-use interface

Competitive Data

High-quality, timely product matches and data scraping covering any region, currency, or language in a single dashboard – designed for retailers with tens of thousands of products. Details

Price optimization

Elasticity-based price setting driven by demand patterns, products cross-impact and more than 20 pricing and non-pricing factors. Details

Cover all types of markdown use cases

Depending on the industry, retailer's type, and business objectives, Competera offers the best blend of tools to solve every markdown case.

Limited stock

Sell out all items before the new season begins (for apparel, footwear, and other industries dependant on seasonality)
Stock clearance

Clear excess inventory before the product end-of-life stage is reached (for all industries, e.g., electronics, beauty, etc)
Outlet stores

Liquidate old collections through outlet stores, factory outlets, and other clearance-specific stores (for all industries)

Stop losing money with traditional markdown

Traditional approach

Pressured to clear off shelves in due time, retailers shortfall in profit margin, undermine price perception, and compromise on overall financial health.

‘Blanket’ discounts
Diluted margin
Uncertain probability of hitting stocks

Markdown optimization

Using Competera platform, retailers set up and manage regular elasticity-based markdown campaigns with predictable and controllable results.

Discount differentiation at SKU-level
Maximized margin
Suggestions on sequential discounts and predictions on hitting stocks

What is under the hood of markdown optimization?

Competera’s RNN analyzes retailer’s historical sales data to recommend an optimal discount at an SKU-level so the targeted stock level is reached with a maximum margin rate.

Based on set parameters (max. promo depth, markdown’s time frames, expected stock level), the platform’s time-series based algorithm generates the prognoses on hitted the stock level and gained margin.

Data input

Historical sales (min 2 years)
Historical promo (min 2 years)
Promo calendar
Product description
Product stock availability

Execution

Suggesting sequential discount periods
Calculating cross elasticities and sales cannibalization effect
Differentiated approach instead of blanket discounts
Preventing profit margin from drop

How leaders win with Competera?

A leading Eastern European apparel retailer Intertop reached the point of 10.3% gross profit saving along with 200 b.p. of profit margin saving after only 6 weeks of using Competera.

"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"