Optimizing Workforce Allocation with AI

How a Global Logistics Operator Improved Shift Coverage and Productivity

Executive Summary

A global logistics operator faced persistent workforce inefficiencies driven by absenteeism, fragmented skills data, and manual staffing decisions that constrained throughput and increased operating risk. Andersen Consulting’s AI & Advanced Analytics practice delivered an integrated People Management Suite that unified HR, time and attendance, and collaboration data into a single operational view, enabling supervisors to act on real-time insights. Built on Palantir Foundry and AIP, the solution was implemented in eight weeks and embedded directly into frontline workflows. The result was faster staffing decisions, improved shift coverage, and measurable gains in operational efficiency, demonstrating Andersen Consulting’s ability to translate applied AI into immediate business value.

Introduction: Context and Challenge

Across the Industry

Logistics and industrial operators face rising labor volatility, tighter margins, and increasing pressure to maintain service levels despite workforce disruptions. Legacy workforce systems struggle to provide real-time visibility, forcing supervisors to rely on manual processes and incomplete information.

The Client’s Challenge

The client managed thousands of frontline employees across multiple sites, with daily staffing decisions dependent on handwritten attendance logs, siloed HR systems, and informal supervisor judgment. Unplanned absenteeism regularly exceeded eight percent on critical shifts, creating skill gaps that slowed operations and increased overtime costs. Existing HRIS and timekeeping systems recorded data but did not support real-time decision-making or rapid reallocation. Supervisors spent hours each day reconciling attendance, checking certifications, and coordinating replacements through email and calls. The organization faced mounting risk to productivity, safety, and employee morale if it could not modernize how workforce decisions were made.

Solution: AI-Powered Intelligent Manpower Management Built on Palantir Foundry and AIP

Approach Overview

Andersen Consulting mobilized a cross-functional team spanning AI engineering, workforce analytics, HR operations, and change management. The engagement focused on real operational decisions, not abstract analytics, with an outcome-first model aligned to daily shift execution. The solution enabled supervisors to see workforce availability, skills coverage, and recommended reallocations in one place and act immediately with confidence.

Data Integration and Foundation

Using Palantir Foundry, Andersen Consulting unified HRIS, time and attendance, training records, and Microsoft 365 data into a governed operational ontology. Core entities such as Employee, Skill, TrainingRecord, Shift, AbsenceEvent, Role, and Assignment were standardized with consistent identifiers and quality checks. Foundry pipelines enforced data freshness, validated attendance events, and applied role-based access controls to protect sensitive employee information. This created a single, trusted source of workforce truth available in near real time across sites.

AI and Insight Generation

On top of this foundation, Andersen Consulting implemented capability-fit scoring models that matched employees to open roles based on certifications, training history, and recent attendance patterns. In Palantir AIP, supervisors accessed role-aware actions such as “Propose Reallocation” and “Commit Assignment,” with each recommendation accompanied by clear rationale. For example, when a forklift-certified operator reported an unplanned absence, the system ranked qualified backfill candidates based on proximity, recent shift load, and compliance constraints, reducing decision time from minutes to seconds. All AI outputs were explainable, auditable, and aligned to labor and privacy requirements.

User Experience and Workflow Integration

The People Management Suite was delivered as a single Manpower Control Tower embedded into supervisors’ daily routines. Dashboards surfaced real-time absenteeism, skills coverage by workstation, and pending staffing risks before shifts began. Approved reallocations synchronized automatically to downstream systems and Microsoft Teams notifications, eliminating manual handoffs. Adoption was immediate because the application mirrored how supervisors already worked, while removing friction and uncertainty from each decision.

Rapid Implementation

The solution moved from kickoff to production in eight weeks. Sprint-based delivery covered discovery, data integration, application build, user acceptance testing, and production deployment across pilot sites. The core team included Andersen Consulting AI engineers, data modelers, and workforce SMEs working alongside client HR and operations leaders. Controlled rollout ensured stability, while training and support models were established to enable scale.

Results and Impact

The engagement transformed workforce management from reactive coordination to proactive, data-driven execution.

• Improved Shift Coverage and Throughput: The client achieved a double-digit reduction in unfilled critical roles during pilot shifts, stabilizing daily operations.
• Reduced Supervisor Effort: Time spent on manual attendance reconciliation and staffing coordination dropped by more than 30 percent, freeing supervisors to focus on operations.
• Lower Overtime and Avoided Cost: More precise reallocations reduced unnecessary overtime, delivering material cost avoidance within the first quarter.
• Faster Decision Cycles: Staffing decisions that previously took 15–30 minutes were completed in under two minutes with consistent rationale.
• Increased Workforce Confidence: Employees reported clearer assignments and fairer workload distribution, improving morale and trust in scheduling decisions.
• Stronger Governance and Compliance: Centralized data and auditable actions improved alignment with labor rules and internal controls.

Together, these outcomes elevated workforce management into a strategic operational capability rather than a daily firefight.

A New Standard for Workforce Execution

This initiative established a new operating standard for how the client manages frontline labor, combining human judgment with AI-driven insight. Supervisors gained confidence in decisions, executives gained transparency, and the workforce experienced more predictable operations.

“This solution gives our supervisors clarity in moments that matter,” said the company’s Chief Operations Officer. “It has fundamentally changed how we manage our people on the floor.”

Looking Ahead

The client is expanding the People Management Suite across additional sites and integrating demand forecasting and training optimization use cases. Planned enhancements include predictive absenteeism risk and scenario planning for peak periods. These steps move the organization closer to a fully AI-enabled operating model where workforce decisions scale with speed, precision, and trust.