Maximize the profits from promotions
Dynamic pricing
The Dynamic Pricing Solution we provide is a powerful tool designed to optimize pricing strategies. With this innovative solution, you can stay ahead in the competitive market by dynamically adjusting prices in real-time based on various factors such as demand, market trends, inventory levels, and customer behavior. It includes various features such as what-if analysis, regular and promo pricing, pricing zones, competitor price analysis or bulk pricing.

Pricing and promotion planning
The promo module utilizes advanced forecasting models to predict the impact of upcoming promotions on demand. This involves analyzing historical data related to past promotions and considering factors such as seasonality, trends, and marketing strategies. During a promotion, the software dynamically adjusts inventory levels to prevent stockouts and optimize product availability. It considers the increased sales volume and adjusts replenishment parameters to meet the temporary rise in demand considering factors such as lead times, order cycles, and supplier capabilities to ensure that products are restocked efficiently to support increased demand without excessive inventory buildup.

- Promo event impact
- Sales records
- Sales forecast
Promotion performance analysis
Easily create promotional what-if scenarios to determine which combination of product and price will drive desired results. Post-promotion, the software provides analytics and reports on the performance of the promotional campaign. This includes insights into sales, inventory turnover, and any deviations from the forecast. These analytics help in refining future promotional planning strategies, calculate real promotional effectiveness including cannibalization.

Markdown management
Markdown management offers a comprehensive approach to optimize pricing strategies and streamline the process of reducing product prices proactively. Leverage our machine learning technology to identify price elasticity and calculate markdown needs in advance. Use our advanced algorithms to calculate optimized discounts based on desired expectations, mitigating the risk of excess inventory, whether at season end or product lifecycle.

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