Dynamic Pricing

Selling products and services at flexible prices: adapt the offer in real time to the market and its variables.

Giving a price to every customer, not every product, is the future!

The Dynamic Pricing Divisible is a tool to establish optimal prices for products and services, adapting supply to demand in real time. In the era of the personalized shopping experience, this is critical to maximize revenue and increase profit margin.

Using a wide range of variables, Divisible algorithms are able to accurately estimate the demand for a product and the propensity to buy of each potential customer, thus optimizing the sale of each product or service.

The use of state-of-the-art predictive analysis and real-time data checks allows the system to constantly measure the exact point where supply and demand intersect, thus amplifying the results.

The technology used, based on Divisible Artificial Intelligence, is adapted to the specific needs of each market (for example in the tourism sector, for airlines, or consumer goods), to support companies in achieving their business objectives.

Dynamic Pricing

Benefits of Dynamic Pricing

• Dynamic pricing, based on machine learning, has many advantages. First of all, this system makes it possible to establish more precise prices and higher margins, based on the control of different parameters, such as stock in stock, fluctuations in demand, customers' perception of price, competitors' actions.

• This tool also allows to keep up with trends, react promptly to changes in market conditions, activate an effective segmentation of the public based on different levels of willingness to pay.

• In addition, it can easily be combined with promotional initiatives, such as coupons or discount codes, effectively adapting to different commercial seasons.

• Overall, compared to other pricing strategies, dynamic pricing provides greater flexibility on revenues and profits, making it one of the strongest levers of profitability for companies that use it.

Our Method

Analysis of the variables to be included in the algorithms, sales on a historical and current basis, prices applied, market trends, seasonality, competitors and business potential.

Definition of the minimum and maximum price of each product or service, of the price steps, of the "price change" modalities and of the periodicity of the updates.

Management of Dynamic Pricing updates on all information and sales channels.

Monitoring of sales performance and search for continuous improvement.

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