StratLytics platforms are deployed across financial services, energy & utilities, and manufacturing. These use cases illustrate how our decision intelligence platforms create value in practice.
Banks, credit unions, and fintech lenders using SLERA for AI-driven decision intelligence
Financial institutions use SLERA Acquire to automate pre-screening, optimise marketing targeting, and generate personalised offers at scale. AI-driven acquisition models reduce cost per approved account while maintaining credit quality standards across all channels.
Learn about SLERASLERA Underwrite supports ML-driven application scoring with built-in explainability for adverse action compliance. Lenders combine bureau data, behavioural signals, and decisioning rules to automate and augment underwriting — with full audit trails for regulatory requirements.
Learn about SLERASLERA Portfolio provides early warning signals, segment-level analytics, and strategy adjustment capabilities for credit portfolios. Risk teams identify emerging concentrations and behavioural shifts before they become material losses, with continuous monitoring across the book.
Learn about SLERAUtilities and energy operators using SLIQ for grid intelligence and demand analytics
SLIQ processes high-frequency AMI data to produce consumption segmentation, non-technical loss detection, and load profiling at customer and network level. Utilities gain visibility into behavioural patterns without deploying additional sensors through energy disaggregation.
Learn about SLIQSLIQ generates short-term dispatch forecasts (hours-ahead) and medium-term planning forecasts (weeks-ahead) incorporating weather, demand signals, and renewable output variability. Accurate demand forecasts reduce balancing costs and improve grid reliability at scale.
Learn about SLIQSLIQ identifies flexible loads, segments customers by response capability, and optimises dispatch for demand response programmes. Event evaluation and settlement analytics enable utilities to measure programme effectiveness and improve future DR design.
Learn about SLIQIndustrial companies and retailers using SLICE for supply chain intelligence and optimisation
SLICE Forecast delivers SKU-level machine learning forecasting across complex product portfolios — including probabilistic demand ranges and intermittent demand handling for slow-moving lines. Hierarchical forecasting ensures consistency from company level down to individual SKUs.
Learn about SLICESLICE Optimise calculates dynamic safety stock levels, manages service level targets, and supports multi-echelon planning across complex distribution networks. Replenishment policies adapt to changing demand signals, reducing excess inventory while protecting service levels.
Learn about SLICESLICE Risk monitors supplier performance, predicts logistics delays, and tracks demand volatility across the supply chain network. Scenario planning tools enable supply chain teams to model disruption events and stress test procurement and production strategies before they occur.
Learn about SLICEEvery organisation has unique data environments and decision challenges. Our team can help you identify where decision intelligence creates the most value in your context.
Talk to Our Team