Data & Analytics
Data and analytics inside your operation: dashboards an AI assistant drafts from plain language, KPIs computed from live data, and reporting built into the platforms your team already uses.
Backed by real projects
When You Need This
If any of these sound familiar, this solution is for you.
What You'll Achieve
The results you can expect with our automation in place.
What we've built
Analytics and reporting projects in production, each documented as a case study.
Dashboards drafted from plain language
An assistant that drafts templates and dashboards from plain language, over an aggregation engine with logistics KPIs.
Reporting inside the operation
A reporting layer over sales and service orders, cost-per-client analytics in a learning platform, and QR analytics that connect print to web.
Logistics · International Freight
Kontroll · Kila DocGen AI: Email is the ERP of global trade. We gave it a document engine.
AI document and analytics module built for Kontroll’s Kila logistics platform. Freight forwarders design their own Bills of Lading, Packing Lists and Arrival Notices on a visual canvas, fill them with live shipment data and export branded PDFs — while a Gemini-powered assistant drafts templates and dashboards from plain language. Built in eight days and integrated into Kontroll’s platform.
8 days
MVP to delivery-ready
162
Live data fields
10 + 6
Ready-made templates
7/7
Client feedback closed
The challenge
- Trade documents rebuilt by hand for every shipment — the same data retyped from the platform into Word, then emailed
- ~160 fields per operation, and every forwarder wants a different subset, layout and brand on the same document
- Multi-tenant Firestore data with nested parties, containers, line items and charges — not flat rows ready to print
The outcome
- Documents that fill themselves
- Every client, their own document
- A module, not a side project
Frequently asked questions
Can AI build dashboards for us?
Do you build reporting into existing operations?
Technology We Use
The tools and platforms behind the case studies on this page.
How We Build Your Automation
A proven methodology that ensures consistent, high-quality results.
Map
A senior engineer maps the current process, data and goals with your team.
Design
We define the workflow, the data model and where AI adds real value.
Build
Senior engineering directs AI agents that implement, with independent QA on every change.
Run and improve
We launch, measure and keep evolving the system with the same team.
Ready to build your data & analytics system?
Get a free assessment of your automation opportunities. We'll identify the highest-impact areas and show you what's possible.
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