Contact Info
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Jayadev Vihar, Bhubaneswar, Odisha 751013, India
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+44 7458 149700
StratLytics helps banks, utilities, and industrial supply chains turn complex data, models, and workflows into governed business decisions — with monitoring, explainability, and auditability built in.
AI-driven decisioning and governed model operations for financial institutions
Grid intelligence and demand response for energy utilities
Demand forecasting and supply chain analytics for industrial and retail sectors
StratLytics develops specialised decision intelligence platforms for industries where data complexity, regulatory requirements, and operational scale demand robust analytical systems.
Credit risk, underwriting, portfolio monitoring, model governance, and model performance workflows for banks, credit unions, and fintech lenders.
Forecasting, demand-response, smart-meter analytics, and operational intelligence for utilities and energy operators.
Demand forecasting, inventory optimisation, replenishment intelligence, and supply-chain risk analytics for industrial and retail supply chains.
Enterprise AI and analytics programmes often fail because the first step is too broad. StratLytics starts with a focused diagnostic to identify value leakage, data readiness, governance gaps, and implementation priorities before recommending a platform or solution roadmap.
For banks, credit unions, fintech lenders
A two-week review of model inventory, monitoring coverage, validation workflows, governance gaps, and evidence readiness.
Assess model governance maturityFor utilities and energy operators
A two-week assessment of AMI, load, weather, and operational data readiness for forecasting, demand response, and grid intelligence.
Assess forecasting readinessFor manufacturers, distributors, retailers
A two-week review of forecast accuracy, SKU behaviour, inventory leakage, service-level gaps, and replenishment analytics opportunities.
Assess supply chain forecastingA unified architecture that connects enterprise data to AI models to operational decisions — with governance at every layer.
Core banking, ERP, smart meters, IoT, and external data sources ingested and prepared for analytical use.
Machine learning, forecasting, and optimisation models trained, validated, and governed within the platform.
Automated and augmented decisions across acquisition, underwriting, grid operations, and supply chain.
Continuous model performance tracking, drift detection, and audit-ready governance workflows.
Purpose-built workflows for credit risk, utilities, and industrial supply chains — not generic AI tooling.
Data pipelines, model deployment, workflow configuration, monitoring, and handover designed for operational use.
Audit trails, model validation support, explainability, documentation, and monitoring embedded into the platform layer.
Focused assessments help enterprise teams identify practical next steps before committing to platform implementation.
We work with regulated and operationally complex businesses across sectors where data quality, model governance, and decision intelligence matter most.
Model governance, credit decisioning, and risk analytics for regulated institutions under OCC, SR 11-7, and Basel frameworks.
Grid intelligence platforms enabling load forecasting, demand response, and digital grid operations at scale.
Demand planning and supply chain optimisation powered by advanced analytics across complex industrial networks.
A unified intelligence stack connecting raw data to governed business decisions across financial services, energy, and industrial sectors.
Research, technical perspectives, and applied insights on decision intelligence, grid analytics, supply chain optimisation, and governed AI systems.
Decision Intelligence
How governed AI decision systems improve acquisition, underwriting, and portfolio decisions in regulated institutions.
Read moreGrid Intelligence
Combining telemetry, forecasting, and demand response analytics to improve grid visibility and operational efficiency.
Read moreSupply Chain Intelligence
How advanced analytics supports demand planning and supply chain resilience across manufacturing and retail.
Read moreStratLytics
The past five years exposed the fragility of global supply chains. Most companies responded by building buffer inventory...
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Most manufacturers still manage inventory with static safety stock formulas and min-max policies that were designed for ...
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Manufacturing supply chains face demand forecasting challenges that overwhelm traditional statistical methods — SKU pr...
read moreStart with a focused diagnostic for credit risk, utility forecasting, or supply-chain planning.