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Fiscal data analysis
FD Intelligence - a product that helps our partners develop an effective marketing strategy based on the analysis of a large dataset of receipt data, identifying target consumer groups and their habits
Consumer analysis
Brand consumption migration
Geographic specification of consumption
Consumer data from receipt datasets
Consumer purchasing missions
Changes in consumer loyalty towards brands
Who our consumer is
Quantitative sales data
You will be able to solve the following tasks
Find out the cost
Receipt analytics allows for the identification of numerous new correlations and factors of consumer behavior that may not be apparent from quantitative sales data alone. It helps evaluate the target audience of the brand and their characteristics
Determine the competitive situation of the brand within the category
Assess the brand health by indicating the proportions of new, lost, and loyal customer
Evaluate the target audience of the brand and their characteristics
Track the dynamics of consumer behavior, including brand switching and changes in brand loyalty levels
Evaluate the brand's performance based on actual purchases
Consumer analysis
Brand consumption migration
Geographic specification of consumption
Consumer data from receipt datasets
Consumer purchasing missions
Changes in consumer loyalty towards brands
Who our consumer is
Quantitative sales data
Find out the cost
Receipt analytics allows for the identification of numerous new correlations and factors of consumer behavior that may not be apparent from quantitative sales data alone. It helps evaluate the target audience of the brand and their characteristics
Evaluate the target audience of the brand and their characteristics
Assess the brand health by indicating the proportions of new, lost, and loyal customer
Track the dynamics of consumer behavior, including brand switching and changes in brand loyalty levels
Evaluate the brand's performance based on actual purchases
Determine the competitive situation of the brand within the category
You will be able to solve the following tasks
FD Intelligence Workflow
Получение чековых массивов
01
Чековые массивы наших партнеров

Массивы крупных чековых агрегаторов

Потребительская панель
Разметка данных
02
Сопоставление существующими библиотеками данных NTech

Использвание нейронных сетей и машинных алгоритмов
Проверка результатов по ключевым показателям
04
Полученные результаты перекрестно проверяются по множеству качественных и количественных параметров
Ручная доразметка
03
Наши команда специалистов разметки обязательно проверяет результаты работы нейросети и в ручную обогащает данные, там где не справились машинные алгоритмы
Аналитика
05
Команда аналитиков проводит исследование, исходя из запросов бизнеса
Подробный отчет
06
PDF презентация или интерактивный отчет в системе Tibсo Spotfire Analyst с доступом через Web-интерфейс
01
Receipt Data Acquisition
  • Obtaining receipt data from our partners' databases
  • Accessing data from major receipt data aggregators
  • Utilizing consumer panels
02
Data labeling
  • Matching the data with existing NTech data libraries
  • Using neural networks and machine algorithms for data annotation
03
Manual labeling
  • Our team of labeling specialists verifies the results produced by neural networks and enriches the data manually where machine algorithms fall short
04
Key Metrics Generation
  • Generating results based on key performance indicators
  • Cross-checking the obtained results against multiple qualitative and quantitative parameters
05
Analytics
  • Conducting research and analysis based on business requirements
06
Detailed Reporting
  • Presenting results in a PDF presentation or an interactive report in the Tibco Spotfire Analyst system
  • Accessing the report through a web interface