Solutions.AI for Pricing

Grow top-line revenue and drive profitability with continual price optimization.

Drive growth with intelligent pricing

Pricing has long been a top strategic priority for the C-suite. But today’s unpredictable market conditions have forced leaders to approach it differently. 73% say that AI will be key to their future success as they embrace new pricing models and look for innovative ways to price for growth.

Solutions.AI for Pricing supports ongoing price optimization and helps structure new commercial models that can increase profit and prevent leakage. It uses AI and advanced ML to deliver real-time insights based on market signals, competitive intelligence, and changes in customer preferences and buying propensities. Using these insights, companies can create and launch the most effective pricing scenarios – and customer experiences –  to drive growth.

“With their AI-powered pricing solution, Accenture has supported us to optimize and automate our pricing processes and models so we can create a better customer experience.”

— Massimo De donno, Deputy General Manager – Banca Sella

What we deliver

Our AI solution optimizes pricing levers in real time to grow customer demand and maximize revenue growth.

Personalized and dynamic pricing

Use real-time insights about individual customer preferences, market changes and competitor activity to optimize price and discounts.

Revenue growth management

Optimize list price, trade promotions, portfolio mix and price pack architecture.

Improved win probability & customer profitability

Enhance the probability of winning a deal and the optimal pricing that will maximize deal margin and customer profitability.

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Far beyond pricing use cases in Consumer Goods and Retail, our solutions are pre-built for multiple industries including Communications & Media, Automotive, Industrial and Chemicals.

The AI impact

Our AI-powered pricing capabilities are personalized and dynamic to deliver significant business and customer value.


Up to 15% increase in revenue


Up to 5% margin growth


Up to 40% decrease in promotional spend

“We’re sprinting businesses into an era of pricing optimization with more scientific, systematic and personalized AI techniques including price sensing and dynamic simulation.”

— GEORGIOS PASSALIS, Accenture’s Global Solutions.AI for Pricing Lead

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Solutions.AI for Pricing

Our capabilities

We use the power of data and advanced AI innovations such as deep learning, genetic algorithms and game theory to change how businesses price products and services.

Reusable & configurable pricing modules

Rapidly deploy proven pricing capabilities, from base-price optimization and discount personalization to deal margin optimization.

Proprietary pricing algorithms

Leverage unique Accenture pricing algorithms to quantify customer elasticity per product at every moment in the customer buying journey.

Pricing recommendation engine

Generate and activate data-driven recommendations to offer customers the right price on the right channel at the right time.

Multi-lever simulation & optimization application

Quickly run ‘what-if’ simulations to test price changes, then optimize price accordingly to impact sales, customer satisfaction and market share.

Real-time notification & workflow engine

Simplify work for price managers, reducing the time it takes to deliver competitive prices through an intuitive interface with real-time insights.

Modular cloud native platform

Use a flexible microservice architecture to leverage massive amounts of data and scale pricing algorithms, modules and other cloud-native components.

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What we think

Analytics and machine learning technologies can help High Tech companies price more competitively.

Intelligent pricing that’s real time and contextualized fuels competitiveness and growth—while fostering enduring customer relationships.

The spare parts market can be a real profit driver for companies that use analytics to optimize parts pricing.

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Our ecosystem partners

We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to results.

Our leaders

Join us

The next AI revolution will be built by people like you. Pursue your passion and change the future of business using all things AI, analytics and automation.

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Frequently asked questions

Intelligent pricing is a strategic pricing approach that determines a customer’s willingness to pay for a product or service based on a myriad of data points such as time of day, location, real-time demand for a product and purchase history. Organizations can use AI (artificial intelligence) and ML (machine learning) on the data to both recommend the optimal price and continuously optimize and suggest better pricing scenarios using new customer and market data.

AI (artificial intelligence) and ML (machine learning) deliver real-time insights based on market signals, competitive intelligence and changes in customer preferences and buying propensities to optimize price. Using these insights, companies can create and launch the most effective, personalized pricing scenario and customer experience for its customers.

An effective pricing strategy or model helps organizations find the optimal price for a product or service based on consumer and market demand. While not easy, pricing strategists need to consider the following: defining a goal with C-level buy in; understanding the value the offering brings to the customers and how it will drive loyalty; aligning the customers’ behavior against price models such as subscription, pay-per-use, freemium, or a combination; building a technology, analytics and data foundation; testing, learning and adapting prices; and making sure to hire or develop the right talent.

Intelligent pricing strategies and capabilities are used across a wide variety of industries from banking and automotive to consumer packaged goods (CPG) and retail. In the retail industry, intelligent pricing can be used to determine the optimal price and strategy to maximize profit. AI can analyze vast amounts of data (i.e. customer, location, competitor data) and suggest how to optimize products and promotional tactics both in store and online to drive customer loyalty and business revenue. For automotive companies working with spare parts, intelligent pricing can offer customers the best price while also maximizing profit for the business.

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