A series of cross-algorithms analyse the distribution of products/services in the online environment. First of all, they focus on:

• Sites, shops, aggregators for a specific product/service - qualitative and quantitative characteristics
• Depth and degree (including emotional) of product discussion
• Speed of information spreading
• General market demand on a given product, comparative characteristics
• Historical information, price dynamics, demand creation
• Identification of the dynamics of innovative solutions, new products: development, potential, comparative characteristics
• Definitions of the epicenter of events and related results

The degree of penetration of analytical robots is absolute, including social networks and closed communities. Checkout pre-order

A series of cross-algorithms that determine consumer activity.

• Determining a life cycle of the product on the market, from its epicenter of entry and to global development: we determine significant events, sites, pricing. As of own products and competitors.
• Identifying the development of discussion activity and emotional color. We ignore artificial information noise.
• Measuring a satisfaction in comparison with market expectations

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A series of algorithms that, based on multiple slices, are able to show possible sales and associated risks. We determine the dynamics on the basis of the previous experience of both others and our own. Based on the information field slices, we determine the expected goods in a bundle, and analyze all stores, stocks and aggregators, giving the received information a different weight category (trust degree). We take into account seasons, fashion trends, technological solutions. Additionally, it is possible to test, in small volumes, real products or propositions. Each forecast is accompanied by a certain conclusion and degree of confidence. The more slices — the more precise the forecasts. Checkout pre-order

The algorithm determines the category where demand is possible, its potential in different cultural segments. On the basis of historical data and small field tests, with a certain degree of probability, we give some predictions. It also includes recommendations of technical and quality characteristics. For example, we can even recommend a texture or a color of the fabric. Checkout pre-order

A series of slices, when the algorithm shows the volume of the consumer segment, its concentration (sites, forums, social groups, etc.), including activity on a timeline. We define personal characteristics, expectations, consumer ability, divide the potential audience into social classes and groups. This also includes robot data from social networks. We identify the most effective strategic actions of product advertising, determine possible budgets. If necessary, we make tests. Checkout pre-order

The algorithm conducts a time slice of the evolution of the product range of competitors, determines the input advertising points and the speed of information spreading. We look at the price dynamics, as well as possible sources that affect its change: external and internal factors. The algorithm is based on basic marketing activities, which are the core for automatically conducted research. We give the overall performance and strength of product integration. Including such subjective factors as quality and quantity of the provided object description. Checkout pre-order

An algorithm that shows the dynamics of the accuracy of the results based on the recommendations which are already historical events. Here we define and correct the general trend of machine algorithms and possible errors as a result of human actions. The algorithm works in a given segment or on the basis of a specific project. Checkout pre-order

An algorithm for aggregators and shops monitoring on the subject of brand new releases and leaks. Also, collecting data on the subject of product demand. Characteristics, descriptions and possible sales volumes are taken into account. The degree of promotion of products on these sites is determined (as a result — increased sales). Checkout pre-order

One of the most interesting market segments is the secondary market. Here we can observe the real dynamics of the season of supply and demand, as well as measure the degree how customers buy innovative products. Artificial Intelligence determines the relationship with external and internal factors. For example: economy, politics, season, weather, etc. Checkout pre-order

An algorithm consists of a set of market slices by a Neural Network with the subsequent analysis of the received data. Runs sweep from information stuffing, trash opinions of the anomalous data. The analysis of the epicenter of the first news and the speed of distribution among authoritative sources, opinion leaders. Comparison with historical data and similar applicants is conducted. Evolutionary processes are taken into account, independent variations of forecasts are considered. All together, based on the theory of probability and weight of events, the system produces the required data. The system also recommend the best pricing policy and possible changes based on political and economic factors. Checkout pre-order