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Optimization & Decision Systems
Process Automation
Paper, PDFs, emails, XML. Manual processes that steal time every day. We eliminate them.
Every company has repetitive processes that run on documents: shipping notes to read, invoices to reconcile, emails to sort and write, data to extract and transfer between systems. Operations that someone does by hand, every day, with growing error rates and costs.
We build end-to-end automation pipelines that read, interpret and act on documents and data flows — with the same precision as an expert operator, at a speed and scale no human team can match.
Problems we solve
Blocked knowledge, critical dependencies and inefficiencies holding back growth
Slow and error-prone manual data entry
Reading a document, extracting relevant information and entering it into a system is a repetitive, costly and fragile operation.
Unstructured documents impossible to process at scale
Smartphone-photographed delivery notes, PDF invoices, XML transactions: different formats, variable layouts, unpredictable quality.
Manual reconciliation of financial flows
Cross-referencing transactions, invoices and deadlines by hand is slow, prone to omissions and difficult to scale with volumes.
Emails requiring human reading, classification and response
Sorting, interpreting and writing emails is time taken away from work that matters.
Processes that depend on specific people
When process knowledge is in someone's head, every absence is a risk. Automation makes it structural and repeatable.
Use Cases
Real projects, measurable results
01
In the textile sector, shipping notes arrive as scans or photos — variable quality, non-standardize…
Logistics and textiles — Extracting data from shipping notes
In the textile sector, shipping notes arrive as scans or photos — variable quality, non-standardized layouts, critical data to extract. We built a pipeline that acquires the images, processes them with computer vision and LLM models, and automatically extracts the relevant fields in structured format.
Zero manual entry, zero transcription errors.
02
Drivers photograph delivery notes directly from the field, with smartphones, in variable light and …
Logistics — Automation from mobile scans
Drivers photograph delivery notes directly from the field, with smartphones, in variable light and quality conditions. We developed a robust pipeline that handles the variability of mobile scans and extracts structured data in real time.
The system handles unpredictable input data without human intervention.
03
We built a system that reads XML transaction flows, automatically cross-references them with corres…
Finance — Payment reconciliation and automated reminders
We built a system that reads XML transaction flows, automatically cross-references them with corresponding invoices and identifies unpaid deadlines. The system autonomously generates reminder emails with tone and content calibrated to context.
From manual process to automatic, traceable and scalable flow.
04
An entire email management process can be automated: collection, classification by priority and typ…
Mail automation — From ingestion to response
An entire email management process can be automated: collection, classification by priority and type, routing to the right channels, writing responses with brand-consistent tone of voice.
The volume of emails managed manually every day is often underestimated.
Technology Corner
The architecture and technologies that make the difference
Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.
Document understanding and advanced OCR
- ✓ Preprocessing pipeline for scans and mobile photosperspective correction, normalization, variable quality management
- ✓ Optimized OCRfor unstructured documents and irregular layouts
- ✓ Computer vision + CNNidentification and localization of relevant fields in the document
Information extraction and structuring
- ✓ LLM and VLLMcontextual understanding of document content
- ✓ Named Entity Recognition (NER)automatic entity extraction: sender, amounts, dates, items
- ✓ Structured outputJSON, XML or directly to management systems via API
Mail automation
- ✓ Multi-label email classification pipelinefor automatic routing
- ✓ Contextual response generation with LLMwith tone of voice control
- ✓ Integrationwith email clients and existing CRM systems
Interested in this service?
Contact us for a free consultation and find out how we can help you.
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