Let the science drive decisions ...
Probably actions too!
Decision science is about solving a business use case by a blend of statistics, right technology platform (machine) & domain expertise to stay ahead of competition.
At DataPhi we consider data an enabler for effective decision-making process, as opposed to traditional view of data as a tool for incremental improvements.
Decision Science in work …
Sales & Marketing
- Customer segmentation
- Association rule mining
- Buying propensity
- Sales forecasting
- Marketing mix analysis
- Forecast distribution demand for optimum coverage
- Reduce transport costs using AI powered route optimization
- Reduce downtimes using smart maintenance schedules
- Improve efficiency by AI powered smart routing for logistics and travelling salesman problem
- Sentiment analysis
- Churn predictions
- Influencer marketing
- Text analysis
- Fraud detection
- Risk analytics
- Credit scoring
- Real time interaction management
- Employee churn prediction
- Smart acquisition
DataPhi at work
We combine business knowledge gathered through our experience with technical expertise and deep skills in statistical techniques/ algorithms to provide quantifiable business outcomes.
How we can help
We can assist you in your decision science journey at any stage
Proof of concept
Establish data science platform
Solve a business problem using data
Improve forecasting accuracy by 60% using AI
A large CPG manufacturing and distribution company achieved up to 60% improvements in forecasting accuracy using AI based forecasting
Identify cross-sell opportunities to increase sale by 30%
A large fashion and beauty retailer identified cross-sell opportunities which improved cross category sale of products by 30% using ML algorithms
Chart buying journeys for customers to improve LTV
Large fashion retailer in GCC region used RFM segmentation to identify potentially high value customers and enable automated online buying journeys
Get personalized recommendations for website visitors
Identify customer buying propensity by integrating online and offline customer data and personalizing user experience to increase customer interaction.