Mastering pricing to sharpen your competitive edge
Develop AI-powered, dynamic pricing strategies to meet your organization's financial and strategic goals.
Across industries and value chains, organizations are grappling with challenges around top and bottom-line growth; be it issues with retaining or capturing market share, surpassing raw-material volatilities or commercializing zero-waste technologies. Pricing can serve as a powerful lever to help companies gain and maintain a competitive edge, recovery value and grow sustainably. Yet it is becoming more challenging in today’s rapidly changing economic landscape. The effects of global events, such as geopolitical tensions, inflation, materials shortages, brought significant volatility into the market.
To stay competitive, businesses need to be able to configure complex products and services, price them accurately, and generate quotes for customers in real time, while taking account of customer types, complex configurations, costs, competitive prices, and geography, together with their business priorities.
The increasing use of advanced analytics and AI technologies are driving pricing transformation. These tools enable businesses to predict demand, simulate various pricing scenarios, and optimize pricing structures effectively. Dynamic pricing models help businesses remain agile, stay ahead of market dynamics and make informed decisions. However, orchestrating pricing transformation is not easy. Many businesses also struggle with the complexity of implementing advanced pricing systems, often due to misaligned structures and data integration challenges.
Revenue Growth Management: Reinforcing Competitive Differentiation
Revenue growth management (RGM) remains a critical focus for consumer-facing organizations, with priorities shifting from traditional pricing strategies to areas like promotions, assortment, trade terms, and price pack architecture. This shift is aimed at building sustainable competitive advantages and resilience against competitive pressures. Key areas of RGM require unique analytics and integration into processes such as sales planning and marketing.
Key levers in RGM include:
- Pricing: Enhancing pricing strategies to offer localized and dynamic pricing recommendations and optimizing consumer value capture.
- Promotions: Moving beyond standard promotions to focus on personalization and segment-based offers, aided by digital platforms.
- Assortment: Leveraging customer data to improve SKU allocation and placement with insights from both internal and external data sources.
- Trade Terms: Fostering collaboration with retailers for mutually beneficial outcomes, using trade terms as a strategic tool.
- Price Pack Architecture (PPA): Integrating RGM with shopper insights and competitive intelligence to craft value-driven packaging and pricing strategies.
Organizations are encouraged to prioritize RGM investments based on their strengths and market positions, ensuring alignment with competitive differentiation goals. Strategic allocation of resources, whether through outsourcing or automation, allows for efficient management of foundational tasks while focusing on areas that drive differentiation.
Though pricing levers play a centrol role in the pursuit of revenue growth, they are often under-leveraged and neglected. However, by carefully managing pricing strategies in alignment with overall business goals, organizations can effectively drive sustainable revenue growth and enhance their competitive position in the market. We have supported numerous businesses achieve these aims.
Pricing success stories
Deloitte can support your pricing strategy and transformation across the key pillars of data & analytics, AI & optimization, strategy & change enablement, tooling & technology. Uniquely, Deloitte brings a proprietary AI-powered price and profit optimization and management engine: PriceCypher®. Read our success stories below to learn how we unlocked better pricing and revenue growth opportunities.
Our client transitioned from made-to-order to made-to-stock production, aiming to meet 95% of demand with under 100 stocked products. Handling 15,000 items with overlapping features, they sought to reduce complexity and costs. Understanding each product's UV resistance, flexibility, and color was crucial, but traditional testing was labor-intensive and costly.
Deloitte's AI-based solution revolutionized this process by predicting product properties using existing data. This approach grouped 15,000 formulations into 53 products, covering the most requested client needs. For demands outside this range, AI efficiently reverse-engineered formulations, eliminating the need for lab testing.
Our impact:
- The product portfolio was reduced from 15,000 formulations to only 53, covering 98% of all client requests, leading to more transparent and faster sales.
- 5.6% higher quote-win ratio has been achieved due to improved quote processing time and accuracy.
- 12.9% total annual costs decrease due to reduced complexity.
Our client encountered difficulties in streamlining profit margins across deals and effectively allocating production constraint volumes to the most valuable deals based on customer lifetime value.
A pricing strategy was designed to develop an AI-driven pricing model to assess customer willingness to pay. We then formulated a customer lifetime value model incorporating loyalty, historical margins, market segmentation, and willingness to pay. Lastly, a volume allocation recommendation model was constructed that leverages the customer's willingness to pay and lifetime value models to optimize volume distribution and margins.
Our impact:
- An overall increase in profit margin of 4% throughout the company.
- The loyalty of high-value customers increased, leading to less price competition.
Our client operates a global fleet providing maritime construction and maintenance services. It aimed to optimize the value gained with their assets by making profitable decisions related to contracted opportunities, pricing, and regional deployment. To regain control and make more insight-driven commercial decision, the company looked for an analytics solution allowing them to optimize prices based on supply and demand dynamics and its competitive position, evaluate regional relocation business cases and maximize the overall performance of their fleet.
Our impact:
- A deal optimization potential of 11% was identified by reviewing pricing contracts.
- Deal pricing decisions are supported by pricing and market analysis reports.
Achieving price perfection
In today's fast-paced market, developing effective pricing strategies is crucial for achieving sustainable competitive advantage. As businesses transition from traditional methods to more holistic approaches like trade terms and price pack architecture, leveraging AI tools becomes essential. These advanced solutions provide real-time insights and predictive capabilities, enabling optimized pricing strategies and swift adaptation to market changes.
Our Pricing Excellence practice helps clients address the spectrum of commercial pricing strategies, processes and capabilities, aligning them with the organization's business, marketing, customer segmentation and channel strategies. Starting with the drivers of customer value and layering on transaction-level analysis and insight, we help companies disaggregate their business so they can see its many parts, identify the economic value of each product and customer and devise ways to communicate and deliver that value to customers at prices that meet profit objectives.
Get in touch with us today to explore how our tailored services can help position your organization for long-term success in a competitive landscape.
