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Retail & Trading

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Optimise energy trading and retail operations with AI-driven insights. Enhance pricing strategies, accurately forecast demand, and boost customer engagement for increased profitability and competitiveness.

The Retail & Trading Challenges We Solve

Pricing Strategy Complexity

Setting optimal pricing strategies in the energy retail and trading sector is challenging due to fluctuating market dynamics and complex competitor behaviours.

Demand Forecasting Accuracy

Predicting energy demand accurately poses a significant challenge, influenced by various factors such as seasonality and regulatory changes.

Effective Customer Engagement

Engaging customers effectively in the energy retail and trading sector presents challenges, including understanding diverse consumer preferences and delivering personalised experiences.

Our Retail & Trading Solutions

Dynamic Energy Pricing Models

We develop dynamic pricing models utilising AI to adjust energy prices in real-time based on market conditions, demand fluctuations, and other relevant factors, incorporating cloud-hosted pre-trade platforms for enhanced pre-trade modelling and ML technologies.

Demand Forecasting Solutions

Mesh-AI offers demand forecasting solutions leveraging advanced analytics and machine learning algorithms to predict energy demand accurately, optimising operations and resource planning, including AI solutions in contact centres.

Personalised Customer Engagement Platforms

Our AI-driven platforms analyse customer behaviour and preferences, delivering tailored experiences to enhance satisfaction and loyalty, integrating customer insights/360 for increased personalisation and customer segmentation.

The Business Value We Unlock

Improved Profitability through Pricing Optimisation

Our AI-driven pricing strategies ensure alignment with market demand and competitive dynamics, leading to increased profitability.

Enhanced Operational Efficiency in Energy

Accurate demand forecasting and resource optimisation result in improved efficiency and resource utilisation, as well as significant savings in costs.

Increased Customer Satisfaction and Loyalty

Personalised engagement fosters satisfaction and loyalty. Utilising increased data for enhanced customer insight introduces innovative tariffs, improving billing accuracy and customer satisfaction, while reducing contact centre burdens.

Case Studies & Related Content