Other services
Do you need help with a strategic decision? Contact us
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Olivia specializes in forecasting consultancy. Our algorithms are used to predict sales in sectors such as restaurants, hospitality and retail, providing support in business decision making.
Additionally, we analyze sentiment from online comments or internal surveys to understand customer opinions and improve brand perception. With a targeted approach and accurate data, we help companies optimize their marketing strategies and improve the overall customer experience.
Scenario analysis and revenue forecasting
We also built another algorithm that predicts how a company's annual revenue growth (in percentage) changes if operations change.
It can be used for:
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Understanding where to open a new operating point for a restaurant chain;
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Understand, at top management level, how strategic choices impact turnover or margins.
We collected data from 25,537 restaurant annual reports and, for 128,375 restaurants, other data regarding their characteristics and performance.
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We ultimately built a common database of 8,989 restaurants with more than 100 different variables per restaurant.
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Do you have specific forecasting needs? Contact us.
Forecasts in the financial markets
We also built another algorithm that predicts how a company's annual revenue growth (in percentage) changes if operations change.
It can be used for:
​
-
Understanding where to open a new operating point for a restaurant chain;
​
-
Understand, at top management level, how strategic choices impact turnover or margins.
We collected data from 25,537 restaurant annual reports and, for 128,375 restaurants, other data regarding their characteristics and performance.
​
We ultimately built a common database of 8,989 restaurants with more than 100 different variables per restaurant.
​
Do you have specific forecasting needs? Contact us.
Survey Analysis
We also built another algorithm that predicts how a company's annual revenue growth (in percentage) changes if operations change.
It can be used for:
​
-
Understanding where to open a new operating point for a restaurant chain;
​
-
Understand, at top management level, how strategic choices impact turnover or margins.
We collected data from 25,537 restaurant annual reports and, for 128,375 restaurants, other data regarding their characteristics and performance.
​
We ultimately built a common database of 8,989 restaurants with more than 100 different variables per restaurant.
​
Do you have specific forecasting needs? Contact us.
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Forecast of financial needs
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We also built another algorithm that predicts how a company's annual revenue growth (in percentage) changes if operations change.
It can be used for:
​
-
Understanding where to open a new operating point for a restaurant chain;
​
-
Understand, at top management level, how strategic choices impact turnover or margins.
We collected data from 25,537 restaurant annual reports and, for 128,375 restaurants, other data regarding their characteristics and performance.
​
We ultimately built a common database of 8,989 restaurants with more than 100 different variables per restaurant.
​
Do you have specific forecasting needs? Contact us.