Article: Building Predictive AI Solutions for Business: Forecaster

After spending years on research and development of cross-industry needs from AI, we are building differentiated solutions.

Backwell Tech is focused on delivering performance and understanding through our Predictive AI platform. This solution was developed after years of direct engagement with business leaders to understand their everyday challenges.

From early experiments in AI applications, to real-world enterprise implementations, the Backwell Tech team discovered a real business need for Predictive Analytics, understanding what will happen, as much as the why it will happen, and what we can do about it. After much investigation and discussion, in 2022, a new idea had come to the surface to tackle mainly the challenge of churn.

This insight helped develop the earliest version of the Forecaster platform, focused on tackling customer churn. However, now, other applications of Predictive AI are available, such as demand forecasting, anomaly detection and price sensitivity, blocks that have built a more robust product today.

Beyond the Predictions

The Problem with Traditional Predictive Analytics

Enterprise leaders face a critical challenge with most AI platforms: they deliver predictions without explanation. A customer churn model might flag 500 at-risk customers, but it provides no insight into the underlying factors driving that risk. A pricing sensitivity analysis might recommend price adjustments, but it offers no clear reasoning that business leaders can understand and present to their boards.

This opacity creates a trust barrier that prevents genuine AI adoption at the enterprise level.

Forecaster's Approach: Transparent, Actionable Intelligence

Forecaster was built on a simple principle: every prediction should come with clear interpretation. Our platform identifies the customers likely to churn, explains why they're at risk, which factors carry the most weight, and what specific actions can influence the outcome.

When Forecaster analyses price sensitivity, it provides detailed breakdowns of how different customer segments respond to price variations, what competitive factors influence sensitivity, and how proposed changes will impact both revenue and retention across your portfolio.

This transparency transforms AI from a mysterious black box into a trusted decision-support tool.

Four Core Capabilities, Infinite Industry Applications

Churn Risk Intelligence

Forecaster's Customer Churn prediction analyses behavioural patterns, engagement metrics, and contextual factors to provide comprehensive risk assessments with actionable insights.

Each customer receives a detailed risk profile showing their likelihood to churn, and the specific factors driving that risk, along with targeted intervention strategies. This enables customer success teams to move from reactive damage control to proactive relationship management.

Price Sensitivity Analysis

Understanding how customers respond to pricing changes is critical for revenue optimisation. Forecaster's price sensitivity analysis examines customer behaviour across multiple dimensions, purchase history, competitive alternatives, value perception, and market positioning.

The result: precise insights into how pricing adjustments will impact different customer segments, enabling revenue teams to optimise margins while maintaining competitive positioning and customer satisfaction.

Demand Forecasting

Forecaster's demand forecasting capability analyses different data sets, such as historical sales patterns and seasonal trends, to help predict future product or service demand. Our platform considers multiple variables to provide comprehensive demand insights.

Anomaly Detection

Forecaster's anomaly detection application monitors business operations and customer behaviours to identify unusual patterns that may indicate opportunities or risks. This capability can help organisations spot emerging trends, detect potential fraud, identify system issues, or uncover unexpected market opportunities.

What Makes Forecaster Different

Explainability as Architecture, Not Feature

Forecaster was designed from the ground up for transparency. Every algorithm, every data input, and every output is built to provide clear, business-relevant explanations.

Enterprise Integration by Design

Forecaster integrates seamlessly with existing business systems, such as CRM platforms, data warehouses, and analytics tools. Our API architecture ensures that predictive insights flow naturally into existing workflows rather than requiring new processes.

Industry-Specific Intelligence

Through years of working across utilities, insurance, banking, and other sectors, we've developed industry-specific models that understand the unique dynamics of different business environments.

Real-Time Adaptation

Forecaster's models continuously learn and adapt based on new data, training and feedback. As business conditions change and customer behaviours evolve, our predictions are able to become more strategic to decision-making over time.

Proven Enterprise Impact

Organisations using Forecaster typically see measurable improvements within their first quarter:

• Enhanced Decision Confidence: Business leaders can present AI-driven recommendations with clear reasoning and supporting evidence, improving board-level buy-in for strategic initiatives.
• Improved Retention Rates: Proactive churn prediction enables intervention strategies that significantly improve customer retention compared to reactive approaches.
• Optimised Pricing Strategies: Price sensitivity insights enable revenue teams to maximise margins while maintaining competitive positioning and customer satisfaction.
• Better Resource Allocation: Customer lifetime value forecasting enables more strategic investment in retention efforts.

The Future of Predictive AI

The AI landscape continues evolving rapidly, but one principle remains constant: successful enterprise AI adoption depends on trust, and trust requires understanding.

Forecaster represents our vision for the future of predictive AI, powerful enough to handle complex business challenges, transparent enough to build genuine confidence, and practical enough to integrate into real business operations.

The Next Evolution

As we continue developing Forecaster's capabilities, we're focused on expanding the platform's ability to handle increasingly complex business scenarios while maintaining our commitment to explainability and practical application.

New capabilities in development include cross-functional prediction models that analyse interactions between customer behaviour, market dynamics, and operational factors, providing even more comprehensive business intelligence.

AI That Works in Practice

PredictiveAI shouldn't live in research labs or product roadmaps. It should operate at the centre of business decision-making, providing leaders with actionable, interpretable insights and the confidence they need to act decisively in uncertain markets.

Forecaster bridges the gap between AI capability and business confidence, delivering predictions that business leaders can understand, trust, and act upon with confidence.

Backwell Tech is focused on building AI that improves decision-making through transparency, reliability, and practical application.

Experience Predictive AI that explains itself. Discover how Forecaster can transform your business decision-making with transparent, actionable insights.

Schedule a demo with our team or explore Forecaster's capabilities in detail.  

About Backwell Tech

Backwell Tech is a Berlin-based high-tech company specializing in Predictive AI solutions. The platform offers companies scalable AI models for profit maximization by utilizing historical and real-time data and ensuring data integrity. Since its founding in 2019, Backwell Tech has combined cutting-edge research with practical innovation in explainable algorithms. The company focuses on ethical AI development and delivers reliable, interpretable forecasts that enable informed business decisions. More information at www.backwelltechcorp.com.

Backwell Tech Corp contact:

Maximilian Gismondi

hello@backwelltechcorp.com