Listing Thumbnail

    Price Optimization for B2B After-Sales

     Info
    AI-powered price optimization solution for after-sales operations, e.g. in manufacturing. Predicts offer success rates based on pricing levels, customer behavior, region, delivery time, and urgency factors.

    Overview

    Ehrenmüller's AI-based Price Optimization solution helps manufacturing companies maximize the success rate of their after-sales offers through intelligent, data-driven pricing.

    The solution uses a trained classification model that predicts the probability of offer acceptance based on the selected unit price and multiple influencing factors. By analyzing historical pricing data spanning up to 10 years, the AI identifies price sensitivity patterns across different customer segments, regions, delivery times, and urgency levels.

    Key Capabilities:

    • Predicts offer success probability based on pricing levels and contextual factors
    • Analyzes customer purchasing behavior, regional differences, delivery timelines, and urgency indicators
    • Provides the foundation for automated and optimized price determination
    • Enables gradual replacement of manual pricing processes with data-driven decisions

    How It Works:

    The implementation begins with a comprehensive data analysis of customer price sensitivity across a representative product subset. Visualization and interpretation of results reveal concrete improvement potential in pricing strategies. The AI model is then developed to forecast success probabilities using offer and customer information, enabling individualized pricing at scale.

    The solution supports iterative refinement through customer reaction analysis and A/B testing capabilities. Over time, the optimized AI predictions progressively replace manual pricing, while an aggregated optimization framework saves operational effort and delivers personalized, data-based pricing for each customer interaction.

    AWS Services That Can Be Leveraged:

    • Amazon SageMaker – Build, train, and deploy the AI classification model at scale
    • Amazon S3 – Store and manage historical pricing and sales data (up to 10 years)
    • AWS Glue – Prepare and transform raw sales data for model training
    • Amazon QuickSight – Visualize price sensitivity patterns and offer success metrics
    • AWS Lambda – Automate pricing triggers and integrate with existing ERP/CRM systems

    Developed by Ehrenm üller KI-Experten, specialists in custom AI development for mid-market companies. The team delivers high-quality, efficient AI solutions backed by strong references across manufacturing, food production, medical technology, and wholesale industries.

    Highlights

    • AI classification model predicts offer success rates based on unit pricing, customer behavior, region, delivery time, and urgency factors
    • Reduces manual pricing effort through automated, data-driven price determination built on up to 10 years of historical sales data
    • Supports iterative optimization through customer reaction analysis and A/B testing to continuously refine pricing accuracy

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Ehrenmüller AI provides support through their Customer Relationship Management team. For initial inquiries and coordination of next steps, you can reach the team via phone or email. Online appointment booking is also available for scheduling consultations: