Key Challenges:
1. Demand Volatility
2. Too many factors needed to be considered — from weather fluctuations to posts by social media.
3. Fair price considering the market
4. Integrates data from diverse business channels
5. Steady business growth and customer loyalty.
6. Identify quick-win opportunities
7. Optimize the trade-off between price, volume, and profit margins
8. The need to develop high impact p
9. The need visibility of sales and profit margins
Core Capabilities:
A. AI-Based Methodologies
B. Autonomous Forecasting Techniques.
C. Clustering & Segmentation
D. Competitive Benchmarking
E. Interactive Dashboards
F. KPI Powerful Visualization
G. Leverage What-Ifs
H. Leverages Predictive Analytics
I. ML-based pricing
J. Price Elasticity Analysis
K. Real-Time Data Monitoring
So it should provide business values like
Benefits:
• Apply proven AI models
• Develop High Impact Price Strategies
• Discover insights and uncover trends in your data
• Forecast The Impact On Future Sales
• Gauge The Impact Of Pricing
• Identify Quick Wins and stay competitive
• Identifying Profit Leakages From Discounting
• Improved Prioritization
• Predict Customer Demand By Channel
• Price Waterfalls & Price Dispersion Charts
• Price, Volume And Profit Trade-Off
• Schedule Production
• Specific Price Points Profitability
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