We work where data complexity
is highest.
Manufacturing floors, FMCG supply chains, logistics networks, and EPC project portfolios - operational businesses with high data volume, fragmented systems, and decisions that can't wait for next month's report.
From production floor to boardroom - in real time.
Manufacturers running on manual OEE tracking, disconnected MES and ERP systems, and reactive maintenance cycles are leaving margin on the floor every shift. We connect your data sources, automate reporting, and build predictive models that tell you what will fail before it does.
Common problems we solve
- OEE numbers collected manually - unreliable by the time they surface
- Maintenance is reactive, not predictive
- Quality defects detected at final inspection, not at source
- ERP and MES data never reconciled in one place
Typical outcomes
- Automated real-time OEE dashboards from machine feeds
- Predictive maintenance models reducing unplanned downtime
- Root cause intelligence linking quality failures to process variables
At a glance
OEE numbers collected manually - unreliable by the time they surface
Maintenance is reactive, not predictive
Quality defects detected at final inspection, not at source
ERP and MES data never reconciled in one place
Automated real-time OEE dashboards from machine feeds
Predictive maintenance models reducing unplanned downtime
Root cause intelligence linking quality failures to process variables
Demand clarity. Shelf availability. Margin protection.
FMCG and packaging operations face a specific data problem: forecast, production, distribution, and trade data live in separate systems that never talk. The result is stockouts alongside excess inventory, trade promotions planned without return data, and S&OP meetings that are data arguments rather than decisions.
Common problems we solve
- Demand forecasting driven by sales targets, not market signals
- Trade promotion ROI unknown until weeks after execution
- Stockouts and excess inventory running simultaneously
- S&OP is a data argument, not a decision meeting
Typical outcomes
- Integrated demand-supply intelligence across ERP, WMS, and distributor feeds
- Trade promotion analytics with real-time spend vs. return tracking
- 20–40% stockout reduction through automated replenishment signals
At a glance
Demand forecasting driven by sales targets, not market signals
Trade promotion ROI unknown until weeks after execution
Stockouts and excess inventory running simultaneously
S&OP is a data argument, not a decision meeting
Integrated demand-supply intelligence across ERP, WMS, and distributor feeds
Trade promotion analytics with real-time spend vs. return tracking
20–40% stockout reduction through automated replenishment signals
Operational visibility across every node in the network.
Logistics operations generate enormous data volumes - TMS, WMS, ERP, carrier portals, customs systems - that rarely converge into a single view. Fleet utilisation, freight cost per lane, warehouse throughput, and on-time delivery performance are tracked in isolation, making it impossible to see the total cost of a shipment or the true utilisation of your network.
Common problems we solve
- Freight spend analysed monthly in arrears - no lane-level real-time visibility
- Carrier performance tracked in spreadsheets across the ops team
- Warehouse throughput and dock utilisation never measured together
- Customer delivery SLA reporting built manually before every client review
Typical outcomes
- Unified logistics intelligence across TMS, WMS, ERP, and carrier data
- Real-time freight cost tracking with lane-level and carrier-level breakdowns
- Automated SLA reporting and customer-facing delivery performance dashboards
At a glance
Freight spend analysed monthly in arrears - no lane-level real-time visibility
Carrier performance tracked in spreadsheets across the ops team
Warehouse throughput and dock utilisation never measured together
Customer delivery SLA reporting built manually before every client review
Unified logistics intelligence across TMS, WMS, ERP, and carrier data
Real-time freight cost tracking with lane-level and carrier-level breakdowns
Automated SLA reporting and customer-facing delivery performance dashboards
Project cost control and portfolio intelligence.
EPC (Engineering, Procurement & Construction) businesses face a reporting problem that compounds with every project added to the portfolio. Cost tracking lives in project management tools. Revenue lives in accounting. Subcontractor performance lives in email threads. Nobody has a single view of project health, portfolio margin, or which sites are running over budget until the month-end close.
Common problems we solve
- Project cost vs. budget visibility delayed until month-end
- Subcontractor performance tracked in spreadsheets or email
- Portfolio-level margin and cash flow never visible in real time
- Valuation and payment certification processes are manual
Typical outcomes
- Real-time project cost dashboards connected to your ERP and project management tools
- Portfolio-level P&L and cash flow visibility across all active sites
- Automated subcontractor performance tracking and payment workflows
At a glance
Project cost vs. budget visibility delayed until month-end
Subcontractor performance tracked in spreadsheets or email
Portfolio-level margin and cash flow never visible in real time
Valuation and payment certification processes are manual
Real-time project cost dashboards connected to your ERP and project management tools
Portfolio-level P&L and cash flow visibility across all active sites
Automated subcontractor performance tracking and payment workflows
Across all industries
The same core capabilities, applied differently.
We don't build bespoke solutions from scratch for every client. We apply a proven set of capabilities - data platform, integration, AI, and automation - to the specific operational context of each industry.
Data platform engineering
Microsoft Fabric, Azure Data Lake, Power BI datasets - we build the foundation that everything else runs on.
ERP & system integration
SAP, Oracle, NetSuite, Dynamics, Epicor, Sage - we connect your existing systems without replacing them.
AI & predictive analytics
Demand forecasting, predictive maintenance, quality prediction - models that run on your data, in your environment.
Automation
Power Automate, Power Apps, Copilot Studio - eliminate manual reporting and operational workflows that shouldn't need humans.
Saudi Arabia · KSA
Vision 2030 digital transformation - data & AI for Saudi operations
Manufacturing, FMCG, and supply chain organisations across the Kingdom. ZATCA compliance data engineering, SABIC and Aramco vendor analytics, and giga-project supply chain visibility.
Not sure where to start?
Tell us your industry and your biggest data headache.
A 30-minute call is enough to identify whether your problem is solvable, what it would take, and whether we are the right partner for it.