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PRICE OPTIMIZATION

Adjust to your competition's pricing movements in real-time.

Be sure your price is right

Price optimization is a big data analytics solution that helps you determine how shoppers will respond to different product pricing levels, which can maximize sales and profitability.

Millennials are hyper-aware shoppers who know the best prices before they shop; online retailers need to adapt to attract these savvy consumers. Gain real-time market visibility with tools like Incompetitor™. It helps you benchmark your pricing so you stay on top of your competitors' price movements and catalog changes. Our pricing data can help you make timely markdowns to beat your competitors' deals - or mark up the prices to take advantage when your rivals have out-of-stock inventory, maximizing your margins.

MACY'S (US) STRATEGY - ADIDAS GAZELLE OG

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Price is consistent at $80

Aggressively changing product's visibility resulted in the product going out of stock

Nail your pricing

Our pricing intelligence data helps you identify the best price per SKU to maximize revenue. Ensure your products are competitively priced at all times, and discover the impact of seasonal and promotional discounts. Our price optimization helps you make effective SKU level adjustments to your pricing to make sure it is both attractive for consumers and profitable for you.

Listen to your competition in the
real time
Set a strategy using our decision support SaaS platform
Always be X% cheaper than competitor Y
Match lowest price on the market
Optimize price based on profit margin
Adjust price based on IN price engine
'What If' price adjustments
Automatically update your store, minimizing human intervention
Marketplaces/ERPs supported

Increase revenue, simplify your pricing strategy and reduce your pricing efforts.

With our price optimization, competitive pricing analysis and price management solutions. Our smart crawling framework captures pricing trends of products across multiple categories on retail platforms worldwide, so you never need to guess what consumers will pay.

Boost sales from
'MEH' to 'BOOM!'
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