PINALOG Digital Twin
Simulate warehouse operations with Digital Twin technology.
Validate in a virtual environment to target up to 95% fill rates and minimize risk.
PINALOG is a simulation layer that validates logistics planning in measurable steps. It ties decisions to data and aligns operations with project-specific constraints.
Data Ownership
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In the current state, volume losses and operational risks stay invisible. The digital twin makes scenarios visible and verifiable.
Current State (Representative Scenario)
AI Scan & Simulation
Simulation Target (85-95% Band)
*Simulation outputs vary by box standards, vehicle types, and constraints.
ROI Calculator and Value Transparency
The calculator shows potential savings with transparent assumptions. Final analysis is validated with your real data after the pilot.
Estimated Savings Potential
15,300 TL
Final ROI analysis is reported with your real data after the pilot.
Value Framework
Decision confidence and operational clarity
Pinalog makes decision quality visible instead of cost alone. It delivers commercial confidence for owners and architectural validation for engineers.
Operational Story and Architecture
Switch from an executive summary to engineering detail.
Faster Decision Making
Scenarios are compared on the same data; decisions are visually validated.
Risk Minimization
Constraint violations become visible before simulation and are minimized.
Visual Validation
Plans are validated consistently with 3D simulation outputs.
Integration and Roadmap
- Day 1
Data Analysis
Data fit check via Excel/CSV.
- Week 1
Modeling
Configuration of the digital twin.
- Week 2
Validation
Simulation test with historical data.
Rapid Data Input (Native)
Manager Mode: Excel, CSV integration.
Engineer Mode: JSON, XML, EDI format support.
Start immediately without coding.
System Integration (Adapters)
Example Platforms: Data exchange is provided through adapters.
*Listed brands indicate technical integration capability, not official partnerships.
7-Day Pilot Scope
Input Strategy
Minimum: Excel list (Product Code, Quantity, Vehicle Type).
Ideal: 3D loading constraints and stacking rules.
Asset: Downloadable sample Excel template.
Output
- Current vs Simulated Fill Rate Comparison
- Sample Loading Plan Video (3D - Output)
- Operational Efficiency Report
No commitment. Process starts with a Data Confidentiality Agreement (NDA).
Sectoral Optimization Scenarios
Mixed Box Logistics
Scenario: Optimization for different box sizes.
Potential: 10-15% increase in volume utilization.
Sensitive Load Management
Scenario: Detect damage risk via simulation.
Potential: Risks are minimized.
*Values are simulation outputs based on typical loading models.
Simulation Report
Pilot outputBefore / After
Constraint Check
No Critical Violations (for this scenario)
Proof Artifact
Report format you will receive after the pilot (Sample).
Numeric fields are partially blurred for client data privacy.
Licensing Model
Proof of Concept (PoC)
One-time setup and analysis report.
SaaS Licensing
Monthly subscription per facility/warehouse (Cloud).
Enterprise Options
On-premise deployment, custom SLA, and extended permissions.
Contact us for a project-specific proposal.
Frequently Asked Questions
Does it work offline?
Plan Viewing + Queue structure: even if the connection drops, viewing continues and operations are queued.
Data security?
TLS encryption, at-rest encryption, and security processes aligned with ISO 27001 controls.