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Dyna‑Pricing: Dynamic pricing logo

Dyna‑Pricing: Dynamic pricing

Develop by Mathema

$19-$99

/ Month
14 Days Free Trial

Automatic dynamic pricing using AI to maximize your revenue

Automatic price updates
Revenue maximization
Simple interface
Ai-driven pricing
Inventory sell-out

About Dyna‑Pricing: Dynamic pricing

Built by Mathema

Email :

[email protected]

Address

63 minamigawara komi-cho, Nishio, JP-23, 4440322, JP

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Description

Automatic dynamic pricing to maximize the revenue. AI learns sales data to find the best prices.

Dynamic pricing is an automatic optimization of the price to maximize the revenue according to supply and demand conditions. Dyna-Pricing automatically changes prices based on information such as past order status and sell-by dates. It sells out your inventory by a given deadline to maximize your revenue. It is also intuitive and simple to use; there are no complicated settings.

Dynamic pricing is an automatic optimization of the price to maximize the revenue according to supply and demand conditions. Dyna-Pricing automatically changes prices based on information such as past order status and sell-by dates. It sells out your inventory by a given deadline to maximize your revenue. It is also intuitive and simple to use; there are no complicated settings. more
  • The price will be adjusted automatically to maximize your revenue.
  • The AI learns order data to improve the accuracy.
  • The app sells out your inventory by a given deadline.

Pros

  • Automatic optimization of prices to maximize revenue according to supply and demand conditions
  • Adjusts prices automatically using AI based on past order status and sell-by dates
  • Helps sell out inventory by a given deadline, ensuring efficient stock management
  • Intuitive and simple to use with no complicated settings required
  • Learns from order data to continuously improve pricing accuracy

Cons

  • May rely heavily on accurate data input for optimal performance
  • Potential learning curve in understanding AI-driven dynamic pricing strategies
  • Users may need trust in AI decisions for pricing, which might be challenging for some

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