AI-Native Back-Office Transformation in Retail Logistics
12 Nov 2025
Retail logistics professionals know that back-office tasks – from reconciling freight invoices to managing damage claims – consume valuable time and money. Manual invoice processing remains a major pain point, with rate discrepancies and billing errors requiring labor-intensive reconciliation that often delays settlements by weeks . Similarly, claims for lost or damaged shipments get bogged down in endless emails and fragmented systems, causing companies to “leave money on the table” when claims go uncollected .
This seminar shows how an AI-native back-office can eliminate these inefficiencies. We’ll discuss how AI algorithms automatically validate freight bills (catching overcharges and contract errors) and initiate claims workflows with minimal human input. For example, AI can analyze each shipment to detect invoice errors and unnecessary costs, automating issue resolution end-to-end . Tedious tasks like cross-checking rates, auditing accessorial charges, and compiling claim documentation can be handled in seconds by intelligent agents – streamlining workflows, reducing errors, and freeing up teams for strategic work . Attendees will see how leading retailers achieve full compliance and visibility in their logistics operations with “zero-touch” processes powered by AI .
Objectives/Themes: Understand the concrete impact of AI on freight auditing, claims handling, and overall back-office efficiency. The session will cover real-world examples of AI tools that turn data into action – from flagging billing anomalies to autonomously filing claims – all in service of a more agile, cost-effective supply chain.
Key Takeaways for Logistics Professionals:
Freight Auditing 2.0: Learn how AI-driven audit platforms automatically scan and verify carrier invoices against contracts, catching billing mistakes that humans overlook. By eliminating manual reconciliations, companies can realize ≥5% transportation cost savings and cut processing time by up to 90% .
Claims Automation: See how intelligent systems can detect shipment issues and trigger claims filings instantly. With automation ensuring no deadlines or documents are missed, retailers can boost recovery rates on freight claims (over 50% of which currently get rejected industry-wide ) – translating into reclaimed revenue instead of losses. AI’s ability to enforce complete documentation and timely filing leads to more claims paid, and paid faster .
Data-Driven Insights: Understand how consolidating all logistics data (invoices, tracking events, carrier performance) into an AI-powered platform yields actionable insights. Harmonized, real-time data allows teams to spot trends and outliers, optimize carrier contracts, and make smarter decisions that improve service and reduce financial leakage .
Strategic Efficiency: Walk away with strategies to redeploy your human talent toward high-value activities. By automating repetitive back-office tasks, AI not only reduces errors and delays, it frees your team to focus on growth, customer experience, and innovation instead of paperwork . In short, you will learn how an AI-native back-office turns logistics from a cost center into a competitive advantage
This seminar shows how an AI-native back-office can eliminate these inefficiencies. We’ll discuss how AI algorithms automatically validate freight bills (catching overcharges and contract errors) and initiate claims workflows with minimal human input. For example, AI can analyze each shipment to detect invoice errors and unnecessary costs, automating issue resolution end-to-end . Tedious tasks like cross-checking rates, auditing accessorial charges, and compiling claim documentation can be handled in seconds by intelligent agents – streamlining workflows, reducing errors, and freeing up teams for strategic work . Attendees will see how leading retailers achieve full compliance and visibility in their logistics operations with “zero-touch” processes powered by AI .
Objectives/Themes: Understand the concrete impact of AI on freight auditing, claims handling, and overall back-office efficiency. The session will cover real-world examples of AI tools that turn data into action – from flagging billing anomalies to autonomously filing claims – all in service of a more agile, cost-effective supply chain.
Key Takeaways for Logistics Professionals:
Freight Auditing 2.0: Learn how AI-driven audit platforms automatically scan and verify carrier invoices against contracts, catching billing mistakes that humans overlook. By eliminating manual reconciliations, companies can realize ≥5% transportation cost savings and cut processing time by up to 90% .
Claims Automation: See how intelligent systems can detect shipment issues and trigger claims filings instantly. With automation ensuring no deadlines or documents are missed, retailers can boost recovery rates on freight claims (over 50% of which currently get rejected industry-wide ) – translating into reclaimed revenue instead of losses. AI’s ability to enforce complete documentation and timely filing leads to more claims paid, and paid faster .
Data-Driven Insights: Understand how consolidating all logistics data (invoices, tracking events, carrier performance) into an AI-powered platform yields actionable insights. Harmonized, real-time data allows teams to spot trends and outliers, optimize carrier contracts, and make smarter decisions that improve service and reduce financial leakage .
Strategic Efficiency: Walk away with strategies to redeploy your human talent toward high-value activities. By automating repetitive back-office tasks, AI not only reduces errors and delays, it frees your team to focus on growth, customer experience, and innovation instead of paperwork . In short, you will learn how an AI-native back-office turns logistics from a cost center into a competitive advantage
