Client
Logistics Firm
Challenge
Tender managers faced long, error-prone reviews of 20–50 page contracts, slowing responses, risking missed opportunities, and straining resources.
Solution
Seconds for support, accelerated tender insights, and improved multilingual communication with a suite of AI agents.
Overview
Operating across multiple countries with thousands of employees, a leading European transport and logistics provider faced growing challenges in communication, documentation, and process management. Their operations spanned freight forwarding, contract logistics, healthcare logistics, warehousing, and refrigeration. But as the customer base grew, internal complexity followed.
Teams struggled with timely and clear communications, multilingual documentation, and an expanding sales pipeline. To address this, leadership began exploring ways to deploy secure, scalable AI programs across departments with varying levels of technical skill.
After initial experiments with traditional enterprise AI offerings proved too costly and consultant-heavy, the organization adopted a no-code AI workflow platform to rapidly build and deploy internal AI agents. The time from idea to production dropped dramatically.
From simple chatbots now used thousands of times per week, to increasingly specialized applications using advanced form interfaces, the organization has built a suite of AI agents that save time, reduce manual work, and increase operational clarity across borders. Results include:
Instant IT support from an AI-powered chatbot
Dozens of tender contracts processed weekly in minutes instead of days
80,000+ hours of audio translated for cross-border collaboration
Millions in new pipeline from sales research automations
General-Use, Widely-Adopted Chatbots
The organization began with general-purpose AI agents, including an internal chat assistant to replace third-party subscription tools and an automated IT service desk.
The Problem: Overloaded IT Support Teams
With thousands of employees across multiple countries, IT teams were inundated with repetitive requests: password resets, Wi-Fi issues, system access. Long response times delayed work and hurt productivity.
The Solution: Automated IT Support Agent
An AI-powered help desk trained on internal IT guidelines now delivers instant, accurate answers via chat, reducing the need for manual intervention. Average support wait times dropped to just seconds.
Faster Contract Reviews for Logistics Agreements
The next focus area was one of the most complex parts of the logistics business: the tender and contract review process.
The Problem: Complex, Lengthy Tender Agreements
When competing for new customers—often large industrial clients with extensive transportation needs—the company must respond to detailed tenders specifying goods, pickup and delivery locations, service terms, and conditions. As tender managers handled a rising volume of 20–50 page agreements, manual review became slow, error-prone, and limited the ability to respond quickly to new opportunities.
The Solution: Automated Contract Parsing
An AI-powered workflow was deployed to automate tender analysis. The system uses multiple specialized language models to extract key information such as liability clauses, payment terms, and delivery windows, producing a concise summary for each submission. Users simply upload a tender package and receive structured outputs highlighting critical contract details. The advanced form interface makes the process accessible to users across technical skill levels.
What previously took several days to complete can now be done in minutes, dramatically accelerating the bid response cycle and improving competitiveness.
Removing Barriers Across Languages
The Problem: Inconsistent Communication Between Teams
Operating across multiple regions created daily challenges in translating emails, memos, and internal documents. Misunderstandings slowed collaboration and introduced errors.
The Solution: Enterprise-Grade Translation and Transcription Tools
A set of AI agents for text and audio translation now delivers context-aware, nuanced translations. One system transcribes spoken audio, translates it into another language, and adjusts tone and formality, from bullet points to emails.
The tool has improved accessibility for employees who rely on speech input and enhanced clarity across global teams. To date, more than 80,000 hours of audio have been translated, transforming internal communication.
Accelerating Sales Pipeline Across Borders
The Problem: Inconsistent, Time-Intensive Reporting
Sales teams across several countries were required to produce detailed visit reports after client meetings. The process was slow, inconsistent, and variable in quality..
The Solution: A CRM-Integrated Reporting AI Agent
With StackAI, sales teams simply upload an audio file of their meetings with the customer directly into the CRM, where an AI agent automatically transcribes the conversation and extracts key data to fill in various fields of the visit report, dramatically reducing the time spent on this step of the sales process.
The Future: Deeper Sales Research
Leadership is now developing a sales intelligence agent that analyzes prospect lists, performs targeted research on production sites, gathers information from professional networks, and ranks opportunities. This capability helps sales teams focus on high-value leads, reducing large prospect lists into refined, actionable targets. Early prototypes have already contributed to new customer wins in regional markets.
Conclusion
By automating documentation, translation, and reporting, the organization has shortened the path from idea to production, turning once-manual workflows into repeatable, scalable AI systems. AI has become not just a tool, but an operational enabler—accelerating processes, improving collaboration, and expanding market reach.
StackAI is proud to be a trusted partner empowering communication, collaboration, and business development across borders with powerful internal AI solutions. Want to see how StackAI can do the same for your enterprise? Get a demo here.
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