Wiser, a Quad Analytix company


Dynamic pricing made simple with a fully automated, self-learning repricing algorithm that continuously optimizes prices.

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    Demand estimation

    Take the guesswork out of your pricing strategy. Regression model leverages historic sales data to create a demand estimation engine

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    Machine Learning

    No need to set pricing rules. Self-learning algorithm continuously recalculates variables to adjust to a dynamic marketplace

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    Pricing Variables

    Price optimization based key variables such as historic sales data, demand, price elasticity, seasonality, competitor prices, and profitability triggers

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    Choose your strategy

    Dynamic algorithm aggregates pricing variables to set an optimal price by SKU where profit or revenue is maximized, depending on your goals

“Our latest round of dynamic pricing with Wiser generated a 10% lift in revenues and 4% lift in profit across two of our major product lines.”1000Bulbs.com

Retailers using Wiser for repricing have seen:

Increase in Revenue
Increase in Profit
Increase in Conversions