Manual Pricing = Wasted Time and Profits

Dynamic pricing with competitor insights lets you react faster, safeguard margins, and capture more sales from online marketplaces.

AI-powered eCommerce growth

Boost revenue by setting the right price at the right time. Adapt instantly to market shifts with rule-based controls.

Save time by automating end-to-end pricing workflows. Let the system handle adjustments while you focus on growth.

Build customer trust through consistent and transparent pricing. Stay competitive without compromising your margins.

Dominate eCommerce with Dynamic pricing

35%

Uplift in Sales Conversion

40%

Higher Buy Box Win Rate

50%

Time Saved on Pricing Operations

Monitor, Adjust, Win:
Take Control of Your Pricing Today!

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Voted #1 PIM software

PIMworks is a leading PIM software according to top platforms like G2.

Monitoring competitor pricing has been a game-changer. We can now make quick adjustments to our prices and keep our customers happy.

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Frequently asked questions

Stuck on something? We’re here to help with all your questions and answers in one place.

What is dynamic pricing?

Dynamic pricing is a pricing strategy where product or service prices change in real time based on factors such as demand, competition, customer behavior, and market conditions.

How does dynamic pricing work?

Dynamic pricing uses algorithms and data analytics to adjust prices automatically. It considers demand levels, competitor prices, seasonality, and customer profiles to set the most profitable price.

What are the benefits of dynamic pricing?

Dynamic pricing helps businesses maximize revenue, match competitors quickly, improve inventory management, and offer personalized pricing to different customer segments.

Which industries use dynamic pricing?

Industries such as e-commerce, airlines, hotels, ride-hailing, real estate, and entertainment commonly use dynamic pricing to maximize profits and adapt to market changes.

Is dynamic pricing legal?

Yes, dynamic pricing is legal as long as it does not involve price discrimination based on sensitive personal data (like race, gender, or disability) or anti-competitive practices.

What are examples of dynamic pricing?

Examples of dynamic pricing include flight tickets that increase closer to departure, ride-hailing fares that surge during peak hours, hotel room rates during holiday seasons, and e-commerce discounts based on demand.

What are the risks of dynamic pricing?

The risks of dynamic pricing include customer dissatisfaction, perception of unfair pricing, potential loss of brand trust, and overdependence on algorithms that may misinterpret market trends.

How is dynamic pricing different from surge pricing?

Dynamic pricing continuously adjusts prices based on various factors like demand and competition, while surge pricing is a short-term price increase during peak demand periods, such as higher ride-hailing fares during rush hour.

What technologies support dynamic pricing?

Artificial intelligence (AI), machine learning algorithms, big data analytics, competitor price monitoring software, and real-time inventory systems are key technologies supporting dynamic pricing.

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