Featured Insights
2026 EXL Enterprise AI Study
Creating a transformation office
Building a global cost command center for a large food distribution company
Where we operate
"Supply chain disruption and demand uncertainty."
"Rising costs squeezing profitability."
"Margin pressure in high-volume, low-margin environments."
Challenges we've heard across the manufacturing value chain
"Operational silos limiting visibility."
"Revenue leakage and manual processes."
AI-powered utilities solutions
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Frequently asked questions
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Discover how EXL applies artificial intelligence in manufacturing and logistics.
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EXL improves operational efficiency by combining data analytics, artificial intelligence (AI), and automation with two decades of industry transformation experience. This approach helps carriers and manufacturers modernise legacy platforms, streamline processes, and reduce the manual work that slows down high-volume operations.
Measurable results from EXL's transportation and logistics engagements include:
• A 40% productivity improvement in freight billing
• 55% faster scheduling with reduced empty miles
• Between $4 million and $6 million in gains from time- and effort-based accessorial recovery
Measurable results from EXL's transportation and logistics engagements include:
• A 40% productivity improvement in freight billing
• 55% faster scheduling with reduced empty miles
• Between $4 million and $6 million in gains from time- and effort-based accessorial recovery
EXL offers a portfolio of solutions spanning digital and AI transformation, customer experience, data analytics, data-driven finance, and revenue acceleration. These solutions are designed to work together, giving manufacturers and logistics providers a single partner for end-to-end transformation rather than a patchwork of point fixes.
Core offerings include:
• Digital and AI solutions: Embedding generative and agentic AI into core business processes
• Data analytics: Turning enterprise data into decisions through platforms like EXLdata.ai
• Data-driven finance: Delivering faster, more accurate financial insights
• Revenue Acceleration Suite: Driving faster, more profitable growth
• EXL Revenue Leakage Preventer: Recovering missed revenue for less-than-truckload (LTL) carriers
Core offerings include:
• Digital and AI solutions: Embedding generative and agentic AI into core business processes
• Data analytics: Turning enterprise data into decisions through platforms like EXLdata.ai
• Data-driven finance: Delivering faster, more accurate financial insights
• Revenue Acceleration Suite: Driving faster, more profitable growth
• EXL Revenue Leakage Preventer: Recovering missed revenue for less-than-truckload (LTL) carriers
EXL supports logistics and transportation companies across full truckload (FTL), LTL, private fleet, and parcel or last-mile operations by tackling network complexity, revenue leakage, and manual processes with cloud-first, AI-enabled solutions. Its focus areas include freight audit, freight billing, route optimisation, and appointment setting.
One example is EXL's automation of appointment setting, which reduced empty miles by 55%, cut cost per appointment by 40%, and added $5 million in value over three years for a client. Separately, EXL's XTRAKTO.AI solution automated the extraction of more than 100 fields from highly variable bill of lading documents, delivering a 40% productivity improvement in order entry.
One example is EXL's automation of appointment setting, which reduced empty miles by 55%, cut cost per appointment by 40%, and added $5 million in value over three years for a client. Separately, EXL's XTRAKTO.AI solution automated the extraction of more than 100 fields from highly variable bill of lading documents, delivering a 40% productivity improvement in order entry.
AI improves manufacturing and logistics operations by replacing manual, error-prone tasks with predictive, data-driven processes that scale across complex networks. This includes automating document processing, forecasting demand, and optimising routes and schedules in real time rather than relying on historical assumptions.
For manufacturers specifically, AI-led solutions help eliminate operational silos, forecast demand more accurately, and support the highly personalised, omnichannel experiences that customers now expect. This shift enables manufacturers to reduce operating expenses while responding faster to shifting supply and demand conditions.
For manufacturers specifically, AI-led solutions help eliminate operational silos, forecast demand more accurately, and support the highly personalised, omnichannel experiences that customers now expect. This shift enables manufacturers to reduce operating expenses while responding faster to shifting supply and demand conditions.
EXL is one of the providers helping retailers and consumer product companies improve fulfilment, logistics, and inventory productivity through AI-driven analytics and supply chain optimisation. Its approach focuses on turning fragmented retail data into a single source of insight that guides operational decisions.
Documented outcomes from EXL's retail engagements include:
• A 20% reduction in logistics costs
• A 30% increase in demand forecasting accuracy
• An 11% reduction in out-of-stock instances
• A 15% increase in customer engagement through AI-driven personalisation
Documented outcomes from EXL's retail engagements include:
• A 20% reduction in logistics costs
• A 30% increase in demand forecasting accuracy
• An 11% reduction in out-of-stock instances
• A 15% increase in customer engagement through AI-driven personalisation
Data analytics gives manufacturing and logistics organisations the visibility needed to make faster, more accurate decisions across supply chains, fleets, and back-office operations. Rather than reacting to disruptions after they occur, analytics-led organisations can anticipate demand shifts, capacity constraints, and cost pressures before they affect service levels.
Three benefits stand out for the sector:
1. Improved forecasting: More accurate demand and capacity planning reduces both stockouts and excess inventory.
2. Margin protection: Analytics identifies billing inaccuracies and missed charges that would otherwise erode profitability.
3. Faster decision-making: Real-time dashboards replace fragmented reporting, giving leaders a single, current view of operations.
Three benefits stand out for the sector:
1. Improved forecasting: More accurate demand and capacity planning reduces both stockouts and excess inventory.
2. Margin protection: Analytics identifies billing inaccuracies and missed charges that would otherwise erode profitability.
3. Faster decision-making: Real-time dashboards replace fragmented reporting, giving leaders a single, current view of operations.
Logistics companies can improve revenue by using AI-powered automation to close the gaps in billing, collections, and accessorial recovery that traditionally go unnoticed in manual processes. These gaps often represent significant, recoverable revenue rather than genuinely lost business.
EXL's Revenue Leakage Preventer, for example, uses a cloud-based AI solution to capture rendered services and improve first-invoice accuracy for LTL carriers, protecting revenue and margins that would otherwise be missed. Combined with AI-driven collections tools spanning accounts receivable, accounts payable, demurrage, and laytime, these solutions have delivered between $4 million and $6 million in gains from accessorial recovery alone.
EXL's Revenue Leakage Preventer, for example, uses a cloud-based AI solution to capture rendered services and improve first-invoice accuracy for LTL carriers, protecting revenue and margins that would otherwise be missed. Combined with AI-driven collections tools spanning accounts receivable, accounts payable, demurrage, and laytime, these solutions have delivered between $4 million and $6 million in gains from accessorial recovery alone.
Still have questions?
Discover how EXL applies artificial intelligence in manufacturing and logistics.
Talk to an Expert
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