- For Your Function
Make supply chain decisions before disruption hits.
DataTheta helps supply chain and procurement teams connect demand, inventory, supplier, logistics, and spend data into live intelligence systems for faster, more accurate decisions.
- The Problem
Supply chains need live intelligence. Most still plan from the past.
Supply chain and procurement teams depend on ERPs, WMS, TMS, supplier portals, spreadsheets, and delayed reports. DataTheta connects these fragmented signals into decision-ready intelligence across demand, inventory, sourcing, and logistics.
- Plans Built on History
Demand plans rely on past sales, seasonal averages, and delayed reports while market signals change faster than the planning cycle.
- Inventory Imbalance
Overstock in one region and stockouts in another lock working capital in the wrong places.
- Supplier Risk Visibility
Supplier disruptions are often detected too late because financial, geopolitical, and lead-time signals are not connected.
- Procurement Blind Spots
Spend data is fragmented across suppliers, categories, contracts, and business units, making leakage difficult to control.
- AI Readiness Gap
AI initiatives struggle when supply chain data is not clean, integrated, contextualized, or ready for production models.
- Capabilities
What we build for supply chain and procurement.
DataTheta designs supply chain-specific AI, analytics, and data systems that connect operational context to measurable outcomes.
Demand Intelligence
- AI demand sensing
- Forecast accuracy improvement
- External signal integration
- Daily planning updates
Inventory Intelligence
- Inventory optimisation
- Stockout risk detection
- Safety stock analytics
- Working capital visibility
Supplier Intelligence
- Supplier risk scoring
- Lead-time monitoring
- Financial risk signals
- Disruption early warnings
Logistics Intelligence
- Lane-level cost analytics
- Carrier performance tracking
- Delivery delay prediction
- Carbon and efficiency insights
Procurement Intelligence
- Spend classification
- Maverick spend detection
- Sourcing performance analytics
- Contract and supplier visibility
40+
AI systems in production
8 Weeks
Average time to first outcome
34%
Forecast accuracy improvement
3X
Faster decision cycles
$180M+
Revenue influenced by AI
68%
Manual processing eliminated
- How It Works
From function pain point to production intelligence.
DataTheta starts with the business outcome, connects the right data, builds the intelligence layer, and embeds it into how teams actually work.
Discover
Map the function's goals, workflows, pain points, and data sources.
Design
Define the data model, analytics layer, AI use cases, and governance approach.
Build
Create pipelines, dashboards, models, copilots, and decision workflows.
Deploy
Embed intelligence into existing tools, teams, and operating rhythms.
Improve
Monitor adoption, accuracy, outcomes, and continuously improve the system.
Supply Chain & Procurement FAQs
Answers to common questions about building intelligence systems for demand planning, inventory optimisation, supplier risk, logistics, and procurement analytics.
Yes. DataTheta connects with existing ERP, WMS, TMS, supplier portals, POS data, procurement systems, and external signal sources.
DataTheta helps teams improve demand forecasting, inventory planning, supplier risk visibility, logistics performance, procurement analytics, and S&OP decision-making.
No. DataTheta strengthens your existing stack by creating a governed data and intelligence layer around your planning, sourcing, and logistics systems.
Yes. DataTheta builds supplier risk scoring, spend classification, maverick spend detection, sourcing performance views, and supplier exposure analytics.
Most teams can see an initial outcome within weeks, depending on data availability, system complexity, and the selected use case.
Latest Blogs
Explore practical insights on data strategy, AI readiness, analytics, and building production-grade AI systems.
See what DataTheta can do for your supply chain.
Tell us about your demand planning process, supplier network, inventory challenges, and procurement data. We’ll show how DataTheta would approach it.
