75 hrs
reclaimed per cycle
E-commerce engagement
Phantasma · Tangible solutions for abstract problems.
We are consultancy, technology enablers for mid-market teams that have outgrown spreadsheets. We untangle heavy operations and help companies scale up by leveraging their existing data and infrastructure to build robust, Cloud native data pipelines, intelligence, CRM, and IoT systems. Quietly. With numbers behind every claim.
Manual processes and data silos — structured into reliable, connected pipelines that run without extra headcount.
Forecasting models, IoT networks, and cloud systems that turn raw data into autonomous, measurable decisions.
Short-term delivery or long-term partnership — expertise brought in without the cost of a full-time hire.
We audit operations, map where data is lost or misread, and document the actual problem before any code is written. Then we implement — or hand you the document so your team can.
Data warehouses, ML forecasting, IoT networks, API integrations, AI tools for non-technical users, BI dashboards, DevOps pipelines, e-commerce and billing automation.
Fixed-scope project with full handoff, or long-term: embedded consulting, stakeholder advisory, product management while the company scales.
Revenue grows but so does manual work — more orders, more spreadsheets, more staff doing the same tasks. We find the bottleneck, quantify it, and replace it with a system.
The data exists — in the ERP, CRM, IoT sensors, accounting system. But it lives in silos or no one can read it. We unify, clean, and surface the decisions it supports.
You need a data architect, ML engineer, or e-commerce specialist for a defined project. We step in, implement, document, and leave you with something you own.
How we work
Audit operations and model the ROI of automation.
Pipelines, data contracts, governance, and stack choices.
Pipelines shipped, validated, and tested against your history.
Documentation, training, runbooks. Your team owns it.
Optional retainer for evolution, monitoring, scaling.
Aggregate impact
75 hrs
reclaimed per cycle
E-commerce engagement
€15K
total cost over 2 years
Mining transformation
12 ha
autonomous, weather-aware irrigation
Precision viticulture
6 stores · 20 yrs
of data unified, GDP-compliant
Pharmacy chain
About Phantasma
Phantasma is a boutique technology enabler and process transformation consultancy. We work with mid-market teams — typically post-acquisition or post-spreadsheet — who need an architecture that scales without adding headcount and process nodes. We embed with your ops, build the system end-to-end, hand it back with documentation, and then leave.
We choose engagements where we can put a number against the outcome. If we cannot tell you what manual hours you will reclaim, what a cycle will cost to run, or what accuracy your forecasts will reach — we are not the right team for that project.
30 minutes. We listen, you describe what's manual or operationally inefficient. You leave with a one-page outline of what an automation could look like, what tech brings to the process, what it would cost to run, and roughly what it would reclaim.
Or just email us: consult@solvephantasma.com
Developed an end-to-end data automation ecosystem for a multi-channel e-commerce firm managing 8,000+ SKUs and 20+ manufacturers. Transformed a manual accounting process into a scalable $60/month cloud-native solution.
Variable pricing across 20 manufacturers, multi-channel marketplace commission complexity, logistical fragmentation, and a resource drain of 80 man-hours per cycle across 3 senior staff over 5 days.
Azure ETL/ELT pipeline with custom API retrieval platform, multi-format Data Lake handling JSON, CSV, and Parquet, star schema SQL Data Warehouse, Power App for logistics rate updates, Google Sheets-to-Azure pipeline for business users, and automated Paginated Reports generating client-ready invoices.
93.7% labor reduction. Turnaround time cut from 5 days to 2 days. Operational cost from 3 senior FTEs to $60/month. 75 hours of high-level employee time reclaimed per cycle.
Azure Data Factory, ADLS Gen2, MSSQL, Power BI, Power Apps, Amazon SP-API, Shopify API.
Integrated data ecosystem for a rapidly expanding mining and raw materials producer following a series of acquisitions. Automated document processing, unified task management with financial flows, and provided C-level executives with real-time decision-making snapshots.
Non-standardized processes across mining sites, data trapped in local computers and manual invoices, and massive human effort required to map cash flows to mining tasks.
Azure Data Factory and Databricks for ETL/ELT. Azure Machine Learning OCR to digitize manual invoices and map them to project tasks. ClickUp API integration linking every task to its financial cash flow. Power Apps for structured data entry. SharePoint as a governed document library. Row-Level Security and Active Directory integration.
700% increase in monthly task capacity. 314% increase in raw material processing. 40% reduction in labor inefficiency. Data accessibility from under 10% to 80% organization-wide. Total cost of ownership €15,000 over two years.
Azure Databricks, Azure Data Factory, Azure Machine Learning, Power BI, Power Apps, SharePoint, ClickUp API.
Forensic audit and complete architectural overhaul of a failing e-commerce PHP monolith operating across Amazon and Shopify. Replaced with a modern decoupled microservices cloud architecture.
Single massive codebase caused regressions across modules. Only the original author could navigate the system. Reports hard-coded in Python. Single-threaded ETL lagged as sales volume grew.
Azure Data Factory for orchestration and ETL. Azure Databricks for Spark compute. Azure SQL as Single Source of Truth. Power BI for self-service BI. Azure DevOps CI/CD separating Dev, Staging, and Production. ADLS Gen2 Bronze layer for raw JSON. Terraform and Bicep Infrastructure as Code. Azure AD RBAC for department-level access control.
Azure Data Factory, Azure Databricks, Azure SQL, ADLS Gen2, Power BI, Azure DevOps, Terraform, Bicep, Azure Active Directory, ClickUp, Amazon SP-API, Shopify API.
Complete precision agriculture system for a 12-hectare vineyard combining IoT sensor infrastructure, edge computing, cloud data pipelines, and predictive automation for fully autonomous weather-aware irrigation.
IoT devices monitoring soil NPK, moisture, and temperature in real-time. Low-power always-on on-premise server as data retrieval center. Azure and Databricks pipelines syncing sensor data with Weather Forecast APIs. Machine learning model forecasting water needs based on evapotranspiration versus predicted rainfall. Automated pump control maintaining optimal moisture while minimizing energy.
IoT soil sensors, on-premise edge computing server, Azure cloud pipelines, Azure Databricks, Weather Forecast API, automated pump control systems.
End-to-end modernization of a 6-store pharmacy chain to align with Georgian healthcare regulations. Complex migration of 20 years of legacy data, AI-driven product mapping, and centralized IoT monitoring for GDP compliance.
Central Product Library integrating Ministry of Healthcare, Revenue Service, logistical databases, and historical invoices with AI-powered medicinal name matching. Custom Data Warehouse with automated procurement generating purchase orders per branch. Centralized IoT network monitoring temperature and humidity across 6 locations. Automated Ministry of Healthcare reporting workflows.
Custom Data Warehouse, IoT sensors, AI product mapping, ERP integration, Google Workspace, HubSpot.
End-to-end data pipeline and machine learning solution for a large-scale e-commerce distributor managing 12,000 SKUs across 200 brands. Achieved 98% forecasting accuracy, outperforming human procurement specialists at 81%.
Azure Data Factory and Databricks ETL/ELT pipelines. MSSQL Data Warehouse with Golden Record table unifying all sales channels. Feature engineering with rolling 7/30/90-day windows and YoY comparisons. Azure Machine Learning model generating automated replenishment suggestions. Rigorous backtesting against 4 years of historical data.
Azure Data Factory, Azure Databricks, MSSQL, Azure Machine Learning, Python, Shopify API, Amazon SP-API.
Turned a reactive century-old water utility serving 3M+ residents into a predictive data-driven operation. Daily incident throughput doubled, average fix time dropped 33%, high-severity pipe bursts fell 12% year-over-year.
PostgreSQL data warehouse consolidating SAP incident records, IoT telemetry from pressure gauges and reservoir levels, asset inventory, and billing consumption map. Machine learning forecasting achieving 80% daily, 90% weekly, and 93% monthly confidence. KPI and alert management layer connected back into SAP via custom REST API generating work orders. Power BI dashboards for incident volume, fix-time distribution, team utilization, and warehouse readiness.
SAP ERP, PostgreSQL, Python ML, Power BI, IoT telemetry, custom REST APIs, Azure infrastructure.