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Dynamic Pricing Made Easy

Aimpoint Digital empowers businesses to take charge of their pricing strategies through tailored solutions built with Sigma and Databricks. We collaborate closely with your team to develop dynamic pricing models that adapt to your input, enabling smarter, data-driven decisions that deliver measurable results.

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Smart pricing strategies with Sigma and Databricks

  • Evaluating promotions
  • Reacting to shifting demand
  • Aligning pricing with broader inventory or revenue goals

The Impact on Your Bottom Line

Fewer markdowns, faster decisions, and smarter promotions that support short-term wins and long-term strategy.

Without the right tools, pricing decisions often default to fixed markups, delayed insights, or broad-stroke discounts that erode margin.

In today’s unpredictable market—where demand shifts quickly and promotional timing is everything—reacting late or over-discounting can mean lost revenue or excess inventory.

Real-time model outputs

Business-user interactivity

A streamlined, no-code workflow

Get in touch with Aimpoint Digital and see how our team can help streamline and optimize your pricing approach.

Saves hours

No more manual data crunching—our solution helps you automate and speed up the entire pricing process.

Provides flexibility

Every business is different, so we build inputs, pricing models, and reports tailored to your specific goals and challenges.

Reduces guesswork

Take the uncertainty out of pricing decisions by relying on real-time data. Our solution helps you confidently set the right prices, backed by detailed analytics and insights.

Dynamic Pricing Workbench

Built on Databricks and Sigma, the Dynamic Pricing Workbench brings together live sales data, machine learning models, and user inputs in a unified experience.

Smarter, faster decisions

The Dynamic Pricing Workbench is an interactive solution designed to help teams make faster, smarter discounting decisions. Powered by Databricks and Sigma, it seamlessly integrates live sales data, machine learning models, and user inputs into one cohesive experience.

With built-in “what-if” scenario simulation, users can instantly visualize the impact of pricing changes on demand, revenue, and inventory.

Sample use cases:

  • Drives better decisions
  • Helps users filter by brand, product, and timeframe to tailor their analysis and establish baseline performance
    • See how frequently each product is discounted and the average uplift during promotions
    • Understand common discount ranges and how they vary by product
    • Identify seasonal trends in discounting and sales performance

Promotional calendar

  • Provides a timeline view of past promotions to guide future campaign planning
    • Review the timing and duration of previous discounts
    • Identify gaps between promotions or overlapping campaigns
    • Ensure new promotions don’t cannibalize existing ones

Historical price statistics

  • Analyze minimum, maximum, and average prices per product
  • Explore pricing volatility and identify consistent pricing patterns
  • Visualize the relationship between price points and seasonal sales performance

Dynamic pricing explorer

  • Users simulate future pricing strategies using a live input table
  • Enter proposed discount percentages to test “what-if” scenarios
  • Trigger real-time predictions from a Databricks-hosted pricing model via Sigma’s AI_QUERY function
  • Instantly see projected volume and revenue uplift side by side across different discount levels

This fully integrated workflow enables business users to move seamlessly from analysis to action—testing, validating, and executing pricing decisions without relying on technical teams. By combining interactivity with live model feedback, teams can make confident decisions in real time, backed by both data and business context.

See it in action

Visit on a desktop for the full experience.