Prediction and Forecasting

AI & ML-Driven Prediction and Forecasting for Smarter Business Decisions

Prediction and Forecasting involves the use of historical data, statistical models, and machine learning algorithms to estimate future outcomes, trends, and behaviors. It is a critical capability in modern business intelligence and decision-making, enabling organizations to proactively plan, allocate resources, and mitigate risks. From sales forecasting and demand planning to churn prediction and financial modeling, these techniques support data-driven strategies across industries.

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KEY FEATURES

Time Series Analysis

Identify trends, seasonality, and patterns in historical data to forecast future values with precision.

Automated Forecasting Models

Use tools like Power BI, Excel, and Dynamics 365 AI to auto-generate forecasts without manual model building.

Machine Learning Integration

Leverage built-in AI models or integrate with platforms like Azure Machine Learning to enhance prediction accuracy.

Real-Time Predictive Insights

Incorporate live data streams for continuous updates and real-time forecasting to support agile decision-making.

Scenario Planning & What-If Analysis

Model multiple future outcomes by adjusting key variables and assessing their impact on business objectives.

Alerts & Anomaly Detection

Set thresholds to trigger alerts for unusual patterns or deviations from predicted trends, enabling proactive responses.

Prediction and forecasting Modules & Business Processes

Sales Forecasting

Predict future sales based on historical trends, seasonal patterns, and market behavior.

Demand Planning

Estimate product or service demand to optimize inventory, reduce waste, and enhance supply chain accuracy.

Customer Churn Prediction

Identify at-risk customers using behavioral data and trigger retention campaigns proactively.

Financial Forecasting

Project revenue, expenses, and cash flow to support budgeting and financial planning.

Workforce Planning

Forecast hiring needs, attrition rates, and skill gaps to inform HR strategies

INTEGRATION

Data Collection & Preparation

  • Data Sources:Gather historical and real-time data from ERP systems, CRM, IoT devices, web platforms, etc.
  • Data Cleaning: Standardize, remove anomalies, and format data for modeling
  • Feature Engineering: Create new predictive variables using domain knowledge and statistical methods

Governance & Maintenance

  • Access Control: Define user roles for model access and forecast visibility
  • Model Retraining: Periodically update models to reflect new data patterns
  • Monitoring & Alerts: Set up triggers for significant deviations or anomalies in predictions.

Model Development

  • Algorithm Selection:Choose appropriate models (e.g., regression, decision trees, neural networks)
  • Training & Validation: Split data into training/testing sets and evaluate using performance metrics
  • Automated ML (AutoML): Use tools like Azure AutoML or Power BI to streamline model building

Advanced Capabilities

  • AI Integration: Add intelligence with built-in models like sentiment analysis or image recognition
  • Scenario Forecasting: Simulate multiple business outcomes with variable inputs
  • Data Enrichment: Improve accuracy by integrating external data like weather or market trends.

Prediction & Forecast Generation

  • Forecast Models:Generate short-term and long-term forecasts with trend and seasonality adjustments
  • Confidence Intervals: Include upper and lower bounds to show prediction reliability
  • What-If Simulations: Allow variable changes to model potential outcomes.

Collaboration & Accessibility

  • Self-Service Forecasting: Enable non-technical users to generate forecasts in tools like Power BI
  • Insight Sharing: Share forecasts via dashboards, reports, or embedded views
  • Annotations: Add notes or context to predictions for clearer decision-making

Integration & Visualization

  • Embedded Predictions: Surface forecast data in dashboards (Power BI), apps (Power Apps), or workflows (Power Automate)
  • Real-Time Insights: Refresh predictions dynamically using live connections and scheduled refreshes
  • Visualization Tools: Present forecasts with line charts, forecast bands, and anomaly indicators

Scalability & Performance

  • Cloud-Based Processing: Utilize scalable cloud platforms (e.g., Azure, AWS) to handle large data volumes and complex computations efficiently
  • Batch & Real-Time: Forecasting – Support both scheduled (batch) forecasts and real-time predictions based on streaming data.

OUR KEY OFFERINGS

Enterprise Process
Diagnostic/ Review

20%

Reduction in discovery
timeline

Implementations

30%

Improvement in
operational efficiency

System
Integration

90%

Reduction in data errors through integrations

Migrations
& Upgrades

50%

Faster system operations

Managed
Services

40% - 60%

Faster IT issue resolution

Support &
Maintenance

70%

Faster critical ERP issue resolution

KEY HIGHLIGHTS & VALUE PROPOSITION

Business Domain Expertise

In-depth domain knowledge to address specific industry challenges cutting down up-to ~30% unnecessary customization costs.

Tailored Solutions

Customized workflows with full lifecycle support. Improved Efficiency, CSAT, NPS.

Measurable ROI

Innovation and strategy for tangible value, guaranteeing real ROI over a longer duration, including build-in inflation -adjustments and time to market.

VALUE PROPOSITION

60%

faster adoption of new system organization wide

Customer Education & Enablement

Multi-Channel Training Content | Localized & Multi-Language Training Support | Proactive User Engagement Strategies | Market trends update

20%

Project Time While Delivering Future Proof Solutions.

Comprehensive E2E Services

Strategy | Process Consulting & Re-Engineering Design | Implementation | Continuous Improvement Services | Cross- Functional Team Collaboration

30%

Saves Up To On Recurring Cost

Cost-Effectiveness

Scalable Solutions | Template Repository Technical Library | Test Case Repository | Technical COE | Offshore Delivery Model

30%

Reduced Risk Exposure Up To, With Automated Monitoring Tools.

Risk & Compliance

Automated Risk Assessment | Regulatory-Ready ERP Solution | GDPR & SOX Compliant Framework | Al-Driven Compliance Alerts & Notifications

We Can Help You To Fill This GAP

Current Challenges

1

Fragmented Data

2

Inefficient Processes

3

Operational blind spots

4

Limited insights

5

Manual tasks

Desired Outcomes

Unified platform for all data

Workflow automation

AI chatbots

Real‐time Insights

Seamless integrations and more!

What Sets Us Apart

  • - Technical
    COE

    15–20%

    faster delivery via  coding best practices & environment branching

    90%+

    certification rate    among COE tech experts

  • - Repository Frameworks

    99.5%

    data accuracy in client migrations

    4 Weeks

    manual migration effort saved by pre-tested scripts.

  • - Data
    Expertise

    15–20%

    reduction in project efforts with 100+ reusable templates from past projects.

    Reference for ease of customization, Power Platform automation, Power BI reports

  • - Pre-Built
    Accelerators

    25%

    reduction in implementation timelines with deployment accelerators.

    10+

    implementations successfully delivered faster time-to-value.

  • - Risk & Compliance Frameworks

    30%

    reduction in risk  exposure with automated monitoring tools.

    100+

    adherence to GDPR, SOC, ISO, and other relevant compliance standards.

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  •  
  •  
  •  
  •  

  •  - Risk & Compliance Frameworks

    30%

    reduction in risk  exposure with automated monitoring tools.

    100+

    adherence to GDPR, SOC, ISO, and other relevant compliance standards.

  •  - Pre-Built
    Accelerators

    25%

    reduction in implementation timelines with deployment accelerators.

    10+

    implementations successfully delivered faster time-to-value.

  •  - Data
    Expertise

    15–20%

    reduction in project efforts with 100+ reusable templates from past projects.

    Reference for ease of customization, Power Platform automation, Power BI reports

  •  - Repository Frameworks

    99.5%

    data accuracy in client migrations

    4 Weeks

    manual migration effort saved by pre-tested scripts.

  •  - Technical
    COE

    15–20%

    faster delivery via  coding best practices & environment branching

    90%+

    certification rate    among COE tech experts

Let's Make Something Amazing Together

Innovate and optimize your business process to achieve your organization goals and reduce overall business cost.

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