Event Simulation Flowchart Design
The proposed event simulation flowchart models the customer acquisition and service delivery lifecycle for the company’s waste analytics platform.
The simulation follows a discrete-event paradigm, capturing operational bottlenecks, compliance checkpoints, and resource allocation.
Entities in the Flowchart
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1. Client Inquiry Received
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2. CRM Entry Initiated
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3. Compliance Pre-Screening
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4. Document Request Sent
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5. Client Document Submission
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6. Legal Review
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7. Scheduling Coordinator Assignment
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8. First Pickup Scheduled
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9. Service Execution
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10. Feedback Loop Initiated
Entities in the Flowchart
1. Customer Inquiry: Initial contact initiated by a prospective client via web form, phone, or referral. This triggers the service engagement lifecycle.
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2. Customer Inquiry Received: Customer service logs the inquiry and initiates intake protocols. Timestamping and inquiry classification occur at this stage.
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3. CRM Entry Created: Client data is entered into the Customer Relationship Management system. This enables tracking, segmentation, and compliance flagging.
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4. Compliance Pre-Screening: Regulatory filters are applied to assess the type of waste, jurisdictional constraints, and service eligibility. Non-compliant inquiries are flagged for escalation.
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5. Legal Review: Contractual terms, indemnity clauses, and regulatory disclosures are reviewed by legal counsel. This ensures alignment with federal, state, and local mandates.
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6. Service Quote Generated: Pricing is calculated based on waste type, volume, pickup frequency, and compliance overhead. The quote includes service terms and regulatory disclaimers.
7. Customer Approval: Client reviews and accepts the quote. Digital signatures and timestamps are captured for audit purposes.
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8. Route Optimization: GIS-based algorithms determine the most efficient pickup route, factoring in traffic, fuel cost, and service density.
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9. Resource Allocation: Personnel and vehicle assets are assigned based on route complexity, waste classification, and compliance requirements.
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10. Waste Pickup Executed: The field team performs on-site waste collection. Safety protocols and chain-of-custody documentation are enforced
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11. Disposal Verification: Collected waste is verified for proper disposal at certified facilities. Documentation is uploaded to the CRM for compliance tracking.
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12. Feedback and Compliance Audit: Post-service survey and internal audit are conducted. Insights are used to refine service delivery and ensure regulatory adherence.
Logic
The simulation begins with client inquiry and progresses through compliance verification and legal review.
Upon successful validation, scheduling and service execution are triggered.
A feedback loop captures customer satisfaction and informs future process improvements.
The model enables scenario testing for resource constraints, regulatory delays, and client responsiveness.
Logistic Regression – Lead Conversion Probability
A logistic regression model was constructed to estimate the probability of converting a lead into a paying client.
Key Predictors:
Inquiry channel (web, phone, referral)
Waste classification (hazardous, recyclable, medical)
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Region compliance score
Result: Conversion probability = 78.4% in high-compliance zones.
Decision Tree Modeling – Retention Forecasting
A decision tree was built to predict service retention and identify high-risk churn segments.
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Key Splits:
Compliance history
Pickup frequency
Customer satisfaction score
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Retention Prediction Accuracy:
84.2% (validated via 10-fold cross-validation)
Operational Fit:
The strategy aligns with the company’s CRM infrastructure, compliance protocols, and logistics capabilities.
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Scalability:
Predictive models support expansion into foreign markets via digital channels and multilingual quoting systems.
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Probability of Success: Lead conversion: 78.4%Retention: 84.2%EMV per client: $1,460
Strategic Sales Framework
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