Jun 13, 2025
How AI Employees Improved Inventory Accuracy for SIA Mikropāļi
Automating Inventory Reconciliation for SIA Mikropāļi: A DeepQuery Case Study
Accurate inventory management is the backbone of any material-intensive business, but as operations scale, manual processes can quickly become bottlenecks. In this case study, we explore how DeepQuery’s AI consulting expertise and AI Employees helped SIA Mikropāļi, Latvia’s leader in micropile foundation solutions, overcome persistent inventory challenges and unlock new levels of efficiency.
The Challenge: Battling Inventory Discrepancies in a High-Stakes Industry
SIA Mikropāļi, renowned across the Baltic region for its pioneering work in injection micropile technology, operates in a sector where precision is paramount. With a growing portfolio of complex engineering projects, the company faced mounting difficulties in maintaining accurate stock control. Inventory discrepancies were not just numbers on a spreadsheet—they were daily operational headaches that threatened project timelines and consumed valuable engineering resources.
Manual reconciliation efforts were spread across disparate spreadsheets, delivery slips, and siloed systems. This fragmented approach led to:
Blind spots in inventory visibility
Delays in project execution
Increased manual “firefighting” by staff
Reduced operational efficiency
As the CEO of Mikropāļi put it,
“We were fighting stock discrepancies daily. It was firefighting, not operations.”
These challenges are not unique to Mikropāļi. Across industries, businesses struggle with manual inventory processes that are time-consuming, error-prone, and difficult to scale 1 2 3. AI-driven inventory management is increasingly recognized as a solution for these pain points, offering real-time data analysis, anomaly detection, and automated workflows 1 2 4.
The Solution: Deploying DeepQuery’s AI Operations Analyst
DeepQuery specializes in AI consulting and workflow automation, helping organizations streamline business processes with intelligent, adaptable AI Employees. For SIA Mikropāļi, we rapidly deployed a tailored version of our AI Operations Analyst—an advanced data automation agent designed to integrate seamlessly with existing inventory workflows.
Within just 12 days, the AI Operations Analyst was operational, delivering:
Real-time tracking and reconciliation of every pallet across warehouse, delivery, and on-site movements
Automatic anomaly detection for double entries and missing stock data
Live synchronization of accurate counts directly into the ERP system
Supervisor alerts for high-risk discrepancies, ensuring human oversight remains where it matters
This approach replaced manual spreadsheet workflows with an end-to-end automated system, freeing up staff to focus on higher-value activities.
The Results: Dramatic Gains in Accuracy and Efficiency
The impact of AI-driven inventory automation was immediate and measurable:
93% reduction in inventory-related errors
3× increase in reconciliation throughput
Full automation of previously manual processes
Staff redeployed to quality control and strategic planning
The CEO of Mikropāļi summarized the transformation:
“Freed from spreadsheet firefighting, our team now focuses on quality control. The AI agent does the heavy lifting, and we sleep better at night.”
These results mirror broader industry trends, where AI-powered inventory management systems have delivered significant benefits. For example, companies like Caterpillar and Amazon have reported reductions in inventory costs, improved stock availability, and faster order fulfillment after implementing AI solutions 1 5 4. AI-driven systems not only automate routine tasks but also provide actionable insights that enable proactive decision-making 2 3.
Why AI Employees Are a Game-Changer for Inventory Management
Key Benefits of AI-Driven Inventory Automation
Error Reduction: AI algorithms excel at detecting anomalies and inconsistencies in large data sets, minimizing costly mistakes 2 3.
Real-Time Data: Continuous data synchronization ensures that stock levels are always accurate, supporting agile business operations2 4.
Scalability: Automated systems can handle increased volumes without additional manual effort, supporting business growth 6 5.
Resource Optimization: By automating repetitive tasks, organizations can redeploy skilled staff to focus on quality control, innovation, and strategic planning 6.
Cost Savings: AI-driven inventory management reduces carrying costs, prevents stockouts, and minimizes excess inventory, directly impacting the bottom line 2 5 4.
How DeepQuery’s Expertise Delivers Results
As an AI consulting and workflow automation company based in London, DeepQuery brings deep technical knowledge and industry experience to every project. Our AI Employees are designed to integrate with your existing systems, adapt to your unique workflows, and deliver measurable improvements fast.
Whether you operate in construction, manufacturing, retail, or logistics, our solutions are tailored to your needs. We understand the challenges of siloed data, fragmented processes, and the pressure to do more with less. By leveraging AI Employees, you gain a competitive edge through smarter, faster, and more reliable business operations.
Real-World Impact: SIA Mikropāļi’s Success in Context
SIA Mikropāļi’s journey reflects a broader shift toward AI-powered business operations. Across industries, companies are harnessing AI to automate workflows, enhance decision-making, and drive operational excellence 6 5 4. For example:
Amazon uses AI to forecast demand, optimize warehouse configuration, and reduce labor hours, saving billions in logistics costs 1 4.
Walmart leverages AI algorithms to predict demand patterns, reduce stockouts, and optimize returns, improving customer satisfaction and reducing excess stock 1.
Caterpillar’s AI-powered inventory management system achieved a 20% reduction in inventory costs and 30% faster order fulfillment 5.
Starbucks employs predictive analytics to adjust inventory in real time, reducing holding costs and improving product availability 4.
These case studies demonstrate that the benefits seen by SIA Mikropāļi are not isolated—they are part of a growing movement toward intelligent, automated business processes.
About SIA Mikropāļi
Founded in 2000, SIA Mikropāļi is Latvia’s pioneer in injection micropile technology. Specializing in pile foundation construction, reinforcement, retaining walls, ground anchors, and load testing, the company is trusted for complex geotechnical solutions throughout the Baltic region. With a fleet of advanced drilling rigs and a team of 25 skilled engineers, Mikropāļi continues to set industry standards for quality and innovation.
Unlock the Power of AI Employees for Your Business
If your organization is struggling with manual processes, data silos, or operational inefficiencies, DeepQuery can help. Our AI consulting services and AI Employees are designed to automate your most challenging workflows, deliver real-time insights, and free your team to focus on what matters most.
Ready to see how AI Employees can improve your business processes?
Contact DeepQuery today to schedule a consultation or explore our services. Let us help you unlock new levels of efficiency, accuracy, and growth.
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