Fleet operators across logistics, mobility, corporate transport, and last-mile delivery are rapidly shifting to electric vehicles. But electrification is complex, requiring analysis of routes, energy needs, vehicle suitability, charging infrastructure, TCO (Total Cost of Ownership), and operational impact. Manual planning leads to inaccurate decisions, oversized or undersized EV fleets, and wasted capital.
PySquad develops AI-driven fleet electrification planning tools that simulate scenarios, forecast energy usage, estimate ROI, and recommend ideal EV models and charging strategies. Our platform turns real-world fleet data into actionable insights for a smooth and financially sound transition to EVs.
Problem Businesses Face
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No clarity on which routes or vehicles are suitable for electrification.
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Difficulty estimating charging needs and station locations.
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Uncertain TCO and payback periods.
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Manual planning causing incorrect fleet sizing.
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Inability to simulate real-world operational constraints.
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Fragmented decision-making between operations, finance, and energy teams.
Our Solution
PySquad builds AI models and dashboards that analyse operational and energy data to create an electrification roadmap.
Our solution includes:
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Route analysis using GPS, distance, elevation, and traffic patterns.
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Battery consumption modelling using environmental factors.
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Scenario-based simulations for different EV models.
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Charging station placement recommendations.
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TCO, ROI, and payback period calculations.
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Emissions reduction forecasting.
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Reports for finance, operations, and sustainability teams.
Key Features
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AI/ML models for battery, range, and energy prediction.
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Route-level performance forecasting.
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Customisable assumptions (weather, load, driving behaviour).
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TCO and ROI calculators.
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Charging demand estimation for depots and on-route.
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Comparison across multiple EV models.
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Heatmaps for optimal charger placement.
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Exportable electrification strategy reports.
Benefits
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More accurate EV transition decisions.
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Reduced financial risk with data-driven planning.
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Identification of high-priority electrification routes.
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Clear roadmap for charging infrastructure.
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Lower emissions aligned with sustainability goals.
Why Choose PySquad
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Strong expertise in AI modelling, fleet data analytics, and EV tech.
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Ability to integrate real operational datasets.
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Human-first dashboards for cross-team decision-making.
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Secure, scalable architecture for large fleets.
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End-to-end delivery from model development to cloud deployment.
Call to Action
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Want to plan your fleet’s EV transition accurately?
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Need AI-driven insights for charging and cost planning?
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Looking for a tool that supports finance + operations together?
Partner with PySquad to build AI models that power your fleet electrification strategy.