Introduction: Operational Speed and Lost Sales in Multimodal Transport
Intermodal transport lies at the heart of global supply chains, driven by cost optimization and sustainability goals. However, managing combinations of road, rail, and sea transport introduces significant operational complexity. One of the biggest operational bottlenecks logistics sales directors face is the manual consolidation of freight rates, port, terminal, and customs tariffs across different transport modes. The industry average for responding to spot or contract requests for quotation (RFQs) from customers ranges between 24 and 48 hours. Especially in dynamic market conditions, this delay directly translates into lost sales and reduced customer satisfaction on financial balance sheets.
Another risk stemming from manual processes is data entry errors. Manually transferring price lists in various formats (PDF, Excel, email) from shipping lines, rail operators, and local hauliers into Excel spreadsheets leads to margin errors in quotes and operational losses. With sales teams spending 40% of their time on data collection and manual calculations, resources for customer relationship management and new market development are severely restricted.
Development: End-to-End Process Automation with RPA Technology
To eliminate these operational inefficiencies, a Robotic Process Automation (RPA) integration was implemented at an international intermodal logistics provider. In this project, software robots (bots) were deployed to mimic the repetitive, rule-based tasks performed by human operators. The workflow was structured as follows: the moment an incoming intermodal transport request reaches the system, RPA bots simultaneously access designated supplier portals, rail tariffs, and shipowner systems.
Data Extraction and Optimization: Bots read unstructured data from various sources using Optical Character Recognition (OCR) technology and convert it into a standardized data template.
Cost Calculation and Margin Management: Working in integration with a dynamic pricing engine, the bots calculate current bunker adjustment factors (BAF), terminal handling charges (THC), and rail transit fees to generate the final customer sales price based on target profit margins.
CRM and ERP Integration: The prepared quote is automatically uploaded to the CRM system for human approval, and a notification is sent to the relevant sales manager.
Throughout this technological transformation, Logistivo played a key role as a strategic technology partner, making multimodal integrations seamless, preventing data flow interruptions, and improving decision quality. The flexibility of the infrastructure ensured seamless communication with the systems of different transport operators via APIs or web scraping methods.
Before and After: A Performance Comparison
The changes in Key Performance Indicators (KPIs) achieved in this case study clearly demonstrate the operational leverage of technology:
Quote Preparation Time: The multimodal (intermodal) quote preparation time, which averaged 36 hours in manual processes, was reduced to 15 minutes after RPA integration, achieving a time savings of over 75%.
Data Entry Accuracy: Pricing and routing errors caused by human error were reduced by 99.8%. This minimized invoice discrepancies as well as operational demurrage and detention risks.
Sales Conversion Rate (Win Rate): Responding to customer requests within the first hour boosted the bargaining power of sales teams, increasing the win rate on spot quotes from 18% to 29%.
Capacity Utilization: With the reduction in the operational workload of sales representatives, the active customer portfolio managed per person grew by 45%.
Conclusion: Competitive Risks for Non-Digitalized Logistics Companies
In today's logistics industry, where speed and price transparency are critical, running operations with traditional methods is unsustainable. Companies that fail to integrate RPA and process automation into their business models are bound to lose market share due to high operational costs and slow response times. Organizations that can respond to customer requests in minutes rather than hours, establish error-free operations, and direct human resources to value-added tasks stand out in the competition. Digital transformation in intermodal transport is no longer an operational choice, but a strategic necessity to maintain market presence and sustain profitable growth.
Originally published on the Logistivo blog.
Logistivo is an AI-powered logistics operating system for shippers, carriers and customs brokers — load and shipment management, AI document reading, digital CMR, customs tariff lookup, warehousing and invoicing in one place: logistivo.com
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