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.

Real Results

Contributed to 35% Margin Increase

For a Logistics Services Organization

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TECH STACK

Smart pricing strategies with Sigma and Databricks

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.

Whether you're optimizing seasonal sell-through or safeguarding margins on top-performing SKUs, the workbench equips your team to act strategically—not reactively.

By replacing static dashboards and gut-feel decisions with a live, app-like interface, this solution transforms insights into real-time, data-driven actions.

Purpose-built for decision makers

Built for pricing, inventory, and operations teams in fast-moving industries where pricing agility is critical. With an intuitive, user-friendly interface, the application enables teams to run real-time simulations, explore predictive models, and make informed decisions—without relying on data teams or waiting for reports.

Sample use cases:

Evaluating promotions

Reacting to shifting demand

Aligning pricing with broader inventory or revenue goals

Drives better decisions

The Dynamic Pricing Workbench guides users through a step-by-step workflow—starting with historical context and ending with predictive scenario testing—all inside an interactive Sigma application.

Overview

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

Reduce Greenhouse Gases in manufacturing processes and throughout your supply chain network to capture credits and meet business needs

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

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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.
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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.