Dynamic Pricing

Optimize your pricing in real time. 

Maximize revenue and reduce risk with rates that reflect and adapt to current demand and market conditions.

 

dynamic-pricing
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Match Supply With Demand

In today's fast-paced markets, static pricing introduces risk and missed revenue opportunities.

With dynamic pricing, raw data is transformed instantly into actionable insights that guide pricing in real time.

The outcome? Optimal resource allocation, happier customers, reduced risk, and business growth.

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"Research shows companies that use dynamic pricing experience a 5% average increase in profit margin per product or service sold."

-McKinsey.com

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Business Challenges

Matching customer experiences and demand with business outcomes requires a solution that seamlessly integrates and processes both historical and current data across multiple sources in real-time. 

                    Challenge

Solution

Data is often siloed in disparate systems and locations.

Regardless of source, Ververica provides real-time ingestion and integration of structured, unstructured, and semi-structured data.

Building a pricing strategy relying on intuition or incomplete data is expensive, inefficient, and risky.

Predictable analysis and algorithms ensure pricing is based on high quality data and insights. 

Manually creating and revising pricing plans can be costly and inefficient. 

Ververica automates decision and response workflows, enabling fast, data-driven changes that optimize pricing structures and remove manual involvement. Easily implement observability and safeguards to prevent erroneously high or low prices.

Customer demand can fluctuate up and down unpredictably. 

With AI, machine learning and historical data integrations built-in, demand stabilizes with consistent pricing updates that match fluctuations.

Determining the effectiveness of dynamic pricing strategies can be complex and requires robust analytics.

Designed for real-time analytics, Ververica delivers incredibly efficient data storage and retrieval capabilities that supports massive data set analysis.

As businesses grow or diversify their offerings, the dynamic pricing framework must scale to handle increased complexity.

Ververica offers elastic scalability that ensures reliable and cost-effective processing, ensuring the ability to handle larger datasets and more intricate models over time.

Competitors' pricing strategies can complicate dynamic pricing efforts, leading to price wars that diminish margins.

Ververica supports competitor monitoring tools to avoid overly reactive pricing adjustments that undercut profitability, so you know where your competitors stand and can position yourself advantageously.

Regulations around price discrimination and fairness can vary by region, and non-compliance can result in legal penalties.

Adhere to legal frameworks in all operational markets by utilizing high-quality training data and systems, machine learning pipeline integrations, and real-time data provided for your AI/ML models and rulesets.

Dynamic pricing must integrate seamlessly with existing systems like inventory management, CRM, and sales platforms, which can be complex and costly.

Ververica integrates out-of-the-box with most enterprise tools, including Enterprise Resource Planning (ERP) software, data lakes, and analytics platforms.

Turbulent global markets, inflation, and supply chain disruptions regularly impact margins. 

Predictive real-time data analysis keeps you ahead of cost increases. With Ververica, define exactly how pricing algorithms should behave in all potential business situations. 

Why Ververica?

Ververica's Unified Streaming Data Platform empowers businesses to instantly adjust pricing by continuously analyzing market conditions including demand trends, historical sales, competitor pricing, inventory levels, seasonality, and customer behavior in one solution.

 

Features of Ververica’s Unified Streaming Data Platform 

Powered by VERA
Armed with the powerful cloud-native engine revolutionizing Apache Flink®, harnessing insights and taking action from data at any volume and scale has never been easier.
Dynamic Complex Event Processing

Integrate live and historical data seamlessly to instantly adjust prices, with rulesets and management you can update in real-time and without interruption. 

Built-In AI/ML

Analyze data instantly with advanced algorithms that help to optimize revenue and customer satisfaction. Offer competitive pricing with precision and based on real-time feedback.

Adaptive Learning
Develop and train your rulesets and models with highly scalable real-time insights, tailored precisely to the competitive landscape.
Seamless Data Enrichment
Ingest real-time data from multiple sources, including clickstreams, OLTP databases and data lakes for a complete view of current customer tolerance of market trends and conditions.
Streamhouse
Data Lakes don't have to be slow. Utilize unlimited storage, ingestion, and compute power to run massive data queries cost effectively. Pull historical data to forecast demand and adjust prices intelligently in real-time. 

Key Benefits Using Ververica for Dynamic Pricing

Mitigate risk

Mitigate Risk

Set aside crystal balls, predictions, guesses, or intuition. Instead utilize intelligent, real-time data based on live and historic events for your business decisions. Adjust financial spreads, pricing, or bet odds to balance risk and reduce exposure to unforeseen events.

Modify Instantly

Modify Instantly

With data ingestion and processing in real time, businesses can adjust prices instantly. Combine current and historic data to make intelligent, data-driven decisions, ensuring optimal pricing strategies and revenue outcomes. 

Maximize Revenue, Maintain Trust

Maximize Revenue, Maintain Trust

It's easy to lose customer trust. Adopt ethical pricing guidelines by avoiding overly aggressive, unfair, or exploitative pricing strategies. Balance customer satisfaction and brand loyalty with price adjustments that match expectations with constant monitoring and thoughtful updates that both increase and decrease pricing appropriately. 

Success Story

“…Promotion activity has increased from one time to three times. This 300% increase on timeliness leaves…opportunity towards the future.” - Chen Gong (Yunxi) and Li Yue (Zhiqian), Alibaba

 

AliExpress is a cross-border e-commerce platform built by Alibaba for international markets that utilizes Apache Flink for real-time processing. With Flink, the upgrades to their data warehouse allow for 50% cost savings while increasing efficiency by 300%.

 

 

During the 2020 Double 11 day* AliExpress recognized that Russia had been affected by the ruble devaluation, and the resulting price hike caused users to be less willing to place orders. As a result, operations dynamically adjusted the selection of top brands to boost traffic of underperforming products.

 

*Double 11, also known as Singles' Day, is a 24-hour online shopping festival that takes place on November 11th each year. It's a global retail phenomenon that originated in China as a day for singles to celebrate their independence.

Other Ways to Use Dynamic Pricing

Surge and time-based pricing is especially useful for industries where demand fluctuates significantly, including transportation, airlines, hospitality, retail, and food & beverage. It is also valuable for:

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Ververica's Unified Streaming Data Platform helps organizations to create more value from their data, faster than ever. Generally, our customers are up and running in days and immediately start to see positive impact.

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