Business Transformation / Accelerators

Ascend in Pricing

An AI-enabled, data-driven dynamic pricing solution

Evolving consumer expectations, inflationary pressures, and accelerating digital disruption are reshaping how brands define value. The winners in this new era will be those who make pricing an engine of growth rather than a constraint.

Using AI/ML-driven pricing intelligence, Spaulding Ridge takes pricing from reactive to proactive, empowering organizations to plans marter, act faster, and capture value with confidence. Most smart pricing solutions focus on achieving precision: Prices that respond tomarket and supply chain trends, competitors, and input costs. But precision on its own isn’t enough. Customers should also feel that the price is right.

That’s what Ascend in Pricing does differently. By combining data from across the organization with AI insights and behavioral economics best practices, we can give you smart, responsive pricing strategies to drive greater profitability.

the solution

Deliver prices that balance profitability, competitiveness, and consumer perception. Achieve measurable, tangible results.

With this solution, businesses can:

Gross Margin

Target uplift of up to +5 points via elasticity optimization.

Markdown Optimization

Target reduction of up to 25% via predictive adjustments.

Inventory Efficiency

Target improvement of 15% in stock position via price-to-demand alignment.

Profitability Uplift

Target 10% uplift in profitability by optimizing mix by market/segment.

Enhanced customer perception of value

Deliver fairness, transparency, and relevance in pricing across channels

Cross-functional collaboration

Connect finance, merchandising, and supply chain in one intelligent pricing ecosystem.

Key Features

Instead of adjusting prices after performance issues show up, AI enables retailers and CPG companies to anticipate shifts, shape demand, and optimize profitability in real time.

Supply chain inputs

AI ingests landed costs, tariff shifts, transportation trends, and shortage signals.

Behavioral intelligence engine

AI-driven behavioral pricing uses insights from how customers behave, not justhow they buy.

Margin protection

Predictive sell-through and turn analysis reduces over-buying and delayedmarkdowns

Microtargeting models

AI clusters customers, products, & stores into actionable groups based onbehavior, value, & intent.

Weather-powered pricing

Uses hyperlocal climate, seasonal, and real-time weather patterns to predict demand swings

Price elasticity intelligence

Machine-learning models quantify how customers respond to price changes atthe item, category, and channel levels.

Market scraping

AI monitors competitor price movements across marketplaces, DTC, wholesale,and promotional calendars.

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