Jerin Peter Paul

Mahindra Logistics · Hyderabad, India

• Lead PM on an AI analytics platform (natural-language querying, anomaly detection, predictive forecasting); chose a hybrid RAG + fine-tuning approach on GPT-4o after evaluation surfaced sharply better cost-per-query economics — now piloting with internal users ahead of customer rollout.
• Owned the business case and cost-benefit analysis for an AI-powered visibility suite, validating use cases through high-fidelity prototypes that reduced customer operational costs by ~3% (≈ ₹1–5 L per customer/year) and informed CIO-level prioritisation.
• Own the platform’s KPI framework — model accuracy, cost-per-query, drift, and adoption — using it to drive go/no-go and rollout decisions across LLM and predictive workstreams.

WiseTech Global · Bengaluru, India

• Shipped a real-time visibility and predictive ETA platform inside WiseTech’s ocean-freight stack, improving ETA accuracy via carrier + IoT telemetry ingestion and reducing delivery delays by 6% across 50+ enterprise accounts.
• Built a risk-alerts and exception-management module for cross-border logistics, cutting disruption events by 4% by surfacing delays before they cascaded.
• Partnered with data science to define model retraining cadence, accuracy thresholds, and drift monitoring for ETA and risk models.

Blume Global · Bengaluru, India

• Drove product strategy and roadmap across 6 quarters; designed and launched a digital control tower with prioritised alerts and live telematics that lifted customer NPS by 8 points and became a referenced differentiator in enterprise renewals.
• Partnered with engineering to extend the TMS with container tracking and freight execution, saving an estimated 500–2,000 hours/year of manual tracking aggregated across customers including FedEx and Honda.