How Generative AI Email Management Transforms Supply Chains

Even as new technologies shake up the freight, logistics, and supply chain industries, the humble email (born in the 70s, btw) remains the number one communication channel for business.

But this workhorse is showing its age. In the era of last-mile, geopolitical disruptions and climate change, the sheer volume of emails coupled with the need for faster, zero-defect execution is pushing today's email management systems (and users) to their limits.

Generative AI (GenAI), particularly domain-specific GenAI platforms, solves this problem by automating email management from end to end. In turn, this triggers a cascade of revenue-impacting benefits such as improved customer retention (+5%), increased win/conversion rates (5%), DSO reduction (2-3 days) and lowered vendor costs (15%). Here's how.

What is Generative AI, and How Does it Work in Email Management?

GenAI refers to AI systems that generate human-like text by analyzing and learning from extensive datasets. In email management, GenAI leverages pre-trained models to understand, categorize, and respond to emails at a level of experience and comprehension that matches any human.

But it's not enough. While general GenAI models can handle simple email tasks, human oversight is needed to compensate for the following limitations:

• Industry-specific terminology: Lack of deep understanding of complex logistics jargon and acronyms
• Context sensitivity: Difficulty interpreting nuanced requests or instructions within the industry context
• Regulatory compliance: Potential gaps in knowledge of ever-changing international trade regulations and documentation requirements
• Data privacy concerns: Handling sensitive shipping information and maintaining confidentiality
• Complex workflows: Struggle to grasp complex multi-step processes standard in freight, logistics and supply chains
• Real-time adaptability: Challenges in responding to rapidly changing situations like delays or rerouting
• Stakeholder management: Difficulty in tailoring communication style to various parties (carriers, customs, clients)
• Lack of industry intuition: Missing the "gut feel" experienced professionals learn over time for potential issues or opportunities

What is Domain-Specific Generative AI?

Unlike generic Genai, such as ChatGPT and Gemini, domain-specific GenAI, like Stargo's Large Language Model (SLLM), has been pre-trained on over 1 million samples from 35,000 real-world emails for the freight, logistics, and supply chain industries. As a result, StarDox leverages SLLM to automatically extract data from any email, regardless of format, streamlining processes with complete contextual comprehension. This eliminates the burden of manual data management, reduces errors, and structures data for your WMS/TMS/ERP systems.

Here's an overview of how domain-specific GenAI digitizes manual processing for freight forwarders.

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The Benefits of Domain-Specific GenAI Email Management

Domain-specific generative AI is revolutionizing email management in the freight and logistics industry. These tailored models transform how businesses handle their daily operations by automating complex processes, improving accuracy, and drastically reducing processing times. Let's explore three use cases that demonstrate the value of this technology.

• Accurate Routing & Pricing: Automated email processing boosts accuracy in route and rate calculations from 40% to 100%, leading to cost savings and better market trend insights
• Faster Quotes, Higher Sales: By automating sales email processing, you can generate accurate cost estimates in 3.6 seconds rather than 60 hours, resulting in speedier quoting and more closed deals
• Effortless Compliance & Efficiency: Auto-extract data from emails like POs and transport documents, ensuring compliance, reducing errors, and slashing processing times by over 95%
• Automated Tasks & Real-Time Visibility: Free your team from repetitive tasks like updates, confirmations, and notifications and gain real-time insights to stay on top of potential delays and improve client communication

Three Use Cases for Domain-Specific GenAI Email Management

By automating complex industry-specific processes, improving accuracy, and drastically reducing processing times, domain-specific GenAI models are transforming how businesses manage their data. Let's explore three key use cases that demonstrate its value.

Use Case 1: Automating Customer Price Requests with GenAI

StarDox extracts, cleans, enriches, and structures customer price requests directly from your inbox. Powered by an AI Dynamic derivatives pricing engine, StarDox delivers the following automation gains.

Productivity:

• Before: Processing customer price requests took up to 60 hours
• After: StarDox reduces processing to 3.6 seconds

Accuracy:

• Before: Manual processing had an accuracy rate of 30%
• After: StarDox ensures 100% accuracy in handling customer price requests

Efficiency:

• Before: Handling a single request typically involved up to 12 emails
• After: StarDox streamlines the process to require only one email

Use Case 2: Automating Freight Proposals with GenAI

StarDox cuts processing times of multi-lane shipping proposals from hours to seconds by extracting, cleansing, and enriching incoming price data in real time.

Processing Time:

• Before: 3 hours
• After: 60 seconds

Accuracy:

• Before: 50%
• After: 100%

Process Costs:

• Before: $70 per proposal
• After: $2.50 per proposal

Use Case 3: Streamlining RFQ Generation with GenAI

StarDox generates 500 lane RFQs in 40 seconds with 100% data accuracy by automating contract, spot, and agent pricing generation and extracting, cleansing, and enriching data directly from inboxes.

Processing Time:

• Before: 60 hours
• After: Under 60 seconds

Productivity gains: +20%

Margin gains: +4%

Conversion Rate improvement: +8%

Implementation Considerations

While domain-specific GenAI-powered email management offers significant benefits, here are some things to consider before choosing a vendor.

• Integration: How long will it take to deploy, and at what cost to your IT department? (Stargo deploys in 4 weeks, no matter how complex the tech stack is, with minimal disruption)
• Change Management: Communicate effectively and provide training to ensure user adoption of the new system (Talk to us about our global support service and training programs.)
• Data Security: Ensure the chosen solution prioritizes data security and compliance with relevant regulations.

At Stargo, we uphold the highest data protection and regulatory compliance standards. Our ISO 27001 certification highlights our commitment to rigorous security controls. We also adhere to industry-leading GDPR standards to safeguard your data's confidentiality, integrity, and availability.

Stargo Implementation Benefits

Stargo integrates seamlessly with any WMS, TMS and ERP system, transforming unstructured and semi-structured data into revenue without relying on middleware. Due to its domain-specific models, Stargo generates ROI within 12 weeks, including the following benefits:

• Reduced Errors: Boost data accuracy from 30% to 100%
• Increased Productivity: Improve operational productivity by up to 26%
• Improved Profitability: Raise margins (+4%), boost conversion rates (+5%)
• Enhanced Compliance: 100% compliance accuracy

Stargo: Domain-Specific GenAI Email Management that Speaks "Freight"

Contact us today to learn more about how Stargo's solutions can transform your email management processes.