البيانات الضخمة:
- Field statistical survey (Census).
- Desktop studies.
- Social Media
- Market situation studies with competitors - Competitive situation analysis - (Analysis Competitor)
- Product Development.
- Market indicators (Insights).
Suitable Subheading
We use artificial intelligence technologies to analyze data and provide switching solutions.
We use AI in a variety of applications, including pattern recognition, trend prediction, and process improvement.
Big Data
- Field statistical survey (Census).
- Desktop studies.
- Social Media
- Market situation studies with competitors - Competitive situation analysis - (Analysis Competitor)
- Product Development.
- Market indicators (Insights).
Services research
- Causal research (the relationship between elements and other elements) Example: How does product renewal affect...
Sales or how a new marketing campaign affects customer loyalty (Research Causal). - Interviews with customers to evaluate services (Interviews).
- Studies of indicators by customers regarding the services provided (Customer Insights).
- Studies measuring the quality of services.
- Studies related to services provided online (Retail Online).
- Studies measuring the extent of loyalty to services (intentions Loyalty).
Retail Activities
- Field survey of retail stores (RA (Audit Retail).
- Observation and monitoring of products and services.
- Field statistical survey of products and services (Census).
- Data analysis.
- تحليل الإنشطة التسويقية والترويجية (Merchandiser Activation).
- Promotion analysis.
Why AI ?
Big Data
Artificial intelligence analyzes large and diverse information from various sources such as social media, blogs, forums, and websites. It is used to extract key trends and concepts and discover patterns and trends in consumer behavior.
Image and video analysis
Artificial intelligence can be used to analyze images and video to understand consumers' preferences and interactions with products and brands, and image recognition and natural language processing techniques can be used to extract important data from visual media.
Personal product recommendations
Artificial intelligence analyzes consumer data and provides personal recommendations for products and services that may be suitable for them. Machine learning techniques, text analysis, and modeling of consumers’ previous behavior can also be used to achieve this purpose.
Analysis of emotions and feelings
Artificial Intelligence analyzes sentiments and emotions expressed in comments, reviews and online conversations as this helps in understanding consumer experiences and needs, guiding marketing strategies and improving the consumer experience.
Directing digital advertising and marketing
Artificial intelligence can analyze consumer data, their interests, and their online behavior to target advertisements and digital marketing. Artificial intelligence works to analyze big data and identify opportunities and consumers most likely to interact with advertisements and increase the response and conversion rate.