Logistics Planning & Analytics Manager

Overview:

The Logistics Planning & Analytics Manager – Warehouse Operations & AI is a data-driven leader responsible for transforming warehouse and logistics data into actionable operational and strategic decisions.

This role leads logistics forecasting, warehouse capacity modeling, KPI management, performance analytics, and executive reporting, with a strong emphasis on the practical application of Artificial Intelligence (AI), predictive analytics, and automation within warehouse operations.

The ideal candidate combines deep logistics and warehouse operations knowledge with advanced analytical capabilities and hands-on understanding of how AI and emerging technologies can improve warehouse productivity, space utilization, inventory accuracy, cost control, service performance, and management decision-making.

Responsibilities:

Logistics & Warehouse Forecasting and Modeling

• Build, maintain, and continuously improve warehouse and logistics forecasting models covering inventory flow, inbound/outbound volume, storage requirements, warehouse capacity, labor demand, and seasonal fluctuations.
• Apply predictive analytics and AI-assisted modeling to identify future capacity constraints, operational risks, cost drivers, and service issues.
• Develop scenario models to evaluate changes in volume, inventory, warehouse footprint, transportation activity, and operating assumptions.
• Convert forecasts into actionable recommendations for warehouse operations, 3PL management, budgeting, and capacity planning.
• Identify opportunities to improve forecast accuracy through better data, modeling techniques, and AI-enabled analytics.

AI & Advanced Analytics for Warehouse Operations

• Serve as a key resource for the practical application of AI within warehouse and logistics operations.
• Identify and evaluate AI use cases that can improve:
  • Warehouse capacity and space planning
  • Inventory positioning and accuracy
  • Inbound and outbound flow
  • Labor and workload planning
  • Damage and exception analysis
  • Cost forecasting
  • Operational risk identification
  • 3PL performance management
• Use AI and advanced analytics to identify patterns, anomalies, root causes, and operational risks that may not be easily identified through traditional reporting.
• Develop AI-assisted decision-support tools and analytical workflows that help operations teams move from reactive problem solving to proactive management.
• Explore opportunities to automate repetitive analytical, reporting, data-validation, and operational monitoring activities.
• Promote responsible use of AI with appropriate attention to data quality, validation, security, governance, and human review.
• Translate emerging AI capabilities into practical solutions with measurable operational or financial value.

KPI Management & Operational Analytics

Own and continuously improve key warehouse and logistics performance metrics, including:

• Logistics Expense Rate
• Inventory Accuracy
• Damage Rate
• Warehouse Utilization Rate
• Capacity and storage utilization
• Inbound/outbound throughput
• Cost and service performance

Additional responsibilities include:

• Collect, validate, reconcile, and analyze operational data across WMS, ERP, 3PL, transportation, and other logistics data sources.
• Identify performance gaps, trends, anomalies, and root causes.
• Establish clear KPI definitions and improve data consistency across internal teams and external 3PL partners.
• Develop early-warning indicators to highlight potential capacity, inventory, cost, or service issues before they materially impact operations.
• Provide fact-based recommendations and track results after improvement actions are implemented.

Reporting, Visualization & Executive Presentations

• Develop clear, actionable dashboards and analytical reporting using Power BI, Advanced Excel, and other analytics/AI tools.
• Build executive-level presentations that explain not only what happened, but why it happened, what is likely to happen next, and what actions should be taken.
• Convert large and complex operational datasets into clear business insights for leadership and operational teams.
• Use visualization, statistical analysis, and AI-assisted analytics to simplify complex warehouse and logistics issues.
• Provide regular performance reporting covering cost, warehouse capacity, inventory, productivity, service, and operational risks.

Process Improvement, Automation & Collaboration

• Partner with warehouse operations, transportation, finance, IT, procurement, and 3PL providers to implement data-driven operational improvements.
• Lead analytical initiatives focused on reducing logistics costs, improving inventory accuracy, reducing damage, optimizing warehouse space, and improving service performance.
• Identify opportunities for process automation, AI-enabled workflows, and system improvements.
• Support WMS, ERP, reporting, and data-system enhancements from an operational analytics perspective.
• Establish methods to measure the financial and operational impact of improvement initiatives.
• Promote a culture of data-driven and AI-enabled decision-making across warehouse and logistics operations.
• Ability to travel up to 40% of the time as required.

Skills & Qualifications:

Warehouse Operations & Supply Chain Knowledge

• Strong understanding of warehouse operations and management, including receiving, storage, inventory control, replenishment, order fulfillment, shipping, capacity planning, and 3PL operations.
• Strong understanding of warehouse cost drivers and the relationship between inventory, space, labor, transportation, service, and operating cost.
• Ability to convert warehouse operational challenges into measurable analytics and improvement opportunities.
• Experience evaluating 3PL operational and financial performance.

AI & Advanced Analytics Skills

• Strong knowledge of AI applications within logistics, warehousing, and supply chain management.
• Experience applying AI, predictive analytics, machine learning concepts, or advanced analytical techniques to operational business problems.
• Ability to identify practical AI use cases and distinguish between opportunities that provide measurable business value and those that do not.
• Experience using generative AI and AI-enabled analytics tools to accelerate analysis, reporting, research, documentation, and decision support.
• Understanding of AI-related data quality, validation, governance, security, and human-review requirements.
• Ability to translate AI concepts into practical solutions for warehouse operators and business leaders.

Technical Skills

• Advanced proficiency in Excel, including PivotTables, Power Query, complex formulas, scenario modeling, and large-data analysis.
• Strong experience with Power BI or comparable business intelligence and visualization platforms.
• Strong data analytics and statistical modeling capabilities.
• Experience working with WMS, ERP, 3PL, and logistics data platforms.
• Advanced forecasting, scenario modeling, KPI analysis, and root-cause analysis capabilities.
• SQL, Python, Power Automate, or comparable analytical/automation skills are highly desirable.

Professional Skills

• Strong analytical, critical-thinking, and problem-solving capabilities.
• Ability to combine warehouse operational knowledge, data, and AI to develop practical recommendations.
• Ability to synthesize complex information into concise executive-level insights and presentations.
• Strong attention to data accuracy, analytical integrity, and measurable business outcomes.
• Ability to influence and collaborate across operations, finance, IT, transportation, leadership, and external 3PL partners.
• Strong communication skills with the ability to explain complex analytics or AI concepts to nontechnical audiences.

Experience

• 7+ years of experience in logistics, warehouse operations, supply chain analytics, industrial engineering, or related fields.
• Demonstrated experience in warehouse/logistics forecasting, KPI management, operational analytics, and performance reporting.
• Experience applying advanced analytics, automation, or AI-related solutions to logistics or warehouse operations.
• Experience working with 3PL providers and warehouse operations strongly preferred.
• Demonstrated ability to turn data analysis into measurable operational or financial improvements.

Key Success Metrics

Success in this position will be measured by:

• Improved accuracy and actionability of logistics and warehouse forecasts.
• Reduced logistics and warehouse operating costs.
• Higher inventory accuracy and improved warehouse utilization.
• Reduced damage, operational exceptions, and avoidable costs.
• Earlier identification of warehouse capacity and operational risks.
• Improved quality and speed of management reporting and decision support.
• Measurable benefits from AI, automation, and advanced analytics initiatives.
• High-quality dashboards and executive presentations that drive management decisions.
• Successful implementation and measurement of continuous-improvement initiatives.

Hisense USA is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information. We comply with all applicable laws regarding equal employment opportunity and affirmatively seek to recruit, develop, and promote qualified individuals from diverse backgrounds. Our company is committed to providing a work environment that is free from discrimination, harassment, and retaliation. We encourage applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.