First steps with Pythia
With Pythia, companies get a new way to conduct market research through artificial intelligence. We provide you with data and forecasts to support you in your decisions and analyze data based on neural networks.
We start with you sending us a certain amount of search terms and keywords, which we import into our database and make the data accessible to our AI. Algorithms then collect, control and evaluate the data and provide precise forecasts for future market demands and trends.
At the end of the month, you will receive an individual and processed evaluation in an Excel file. Using our regular reports, you can identify trends faster than ever before, make better purchasing decisions and restructure your sales area.
Example: CBD oil for Rossmann
Based on Pythia’s trend forecast, the drugstore chain Rossmann added the trend CBD oil to its product line. The forecast became true and CBD oil became one of the fastest selling products in Rossmann’s stores. Pythia supplies Rossmann with trendy products and brands for the entire retail line.
Still, how are Pythia’s trend analysis constructed? Using the example of the keyword “CBD”, we will show you how to read the analysis.
The reports of Pythia’s trend analysis are divided into different categories:
E-Commerce relevance (0 to 5)
The E-Commerce relevance indicates the level of popularity in the searched term on E-Commerce platforms. We use a variety of data with a mathematical focus on the world’s largest retailer. “CBD” was rated with 5 for “E-Commerce relevance”. Therefore, the term has got a huge interest on online marketplaces.
Trend score (-10 to +10)
When calculating the trend score, we attach great importance to the intelligent use and processing of data. Here, as well, our artificial intelligence and the neural network calculate various factors in the evaluation and weighting of the data. The trend score forecasts the future development of a keyword. “CBD” was rated with a “Trend score” of 7. For this reason, the term is predicted to have a high future relevance and offers decision-making support for the company. Every positive value is expected to show a good development, every negative value should be thought-provoking.
Monthly search volume
The average monthly search volume indicates, how often a term was searched for. We gather the average number of searches on Google and provide them with absolute numbers. The current monthly search volume from the previous month will be displayed as well. This value is not only relevant for our calculations: You can easily see how important and popular a keyword is in your sector. For “CBD” it’s at 50,000 and states, how often this term was searched per month on an average.
The graphs provide information about the development of the search volume of the term over a total period of 3 years. The turquoise color gradient indicates the area in which the forecast is likely to develop. The orange dotted line represents the most probable further course of the term according to the estimation of our machine.
The distribution of probability in the graphs is based on the calculations we obtain from the collected data. In this respect, the graphical development can be derived from the previous columns on the one hand, and on the other hand the algorithm calculates the probability distribution using many different factors. The calculation is constantly evolving and learning based on the acquired and predicted data.
Were we able to give you an understanding of how Pythia’s functionalities work? Our AI offers you the opportunity to predict trends for new products, brands or ingredients. For this reason, you can improve your products and present better. At the right time at the right place.
Send us a message or give us a call, in case you have further questions! We clear things up on how you can prepare your company for future trends with Pythia.