Going Beyond Trade Promotion Management and Optimization for Retail
Unlock real change by truly understanding the impact of these 4 trends on Revenue Growth Management.
Hear from Joel Cartwright
Industry Principal for Consumer Products at Vistex
It’s time to stop relying on guesswork and intuition and go beyond “good enough” to forecasting with pinpoint accuracy, driving RGM to increase net revenue 3-5% or more, and identifying risks and gaps along the way to communicate effectively across your organization’s technology eco system. You’re just one click away from beginning your journey.
Start Your Journey
We’ll show you how to plan, analyze and execute for
more profitable Revenue Growth Management
Revenue Growth Management (RGM) and understanding the total cost of doing business
Watch RGM Video
Trade Promotion Optimization (TPO)
Annual planning with optimization
Avoid the big surprise at the end of the year
Forecast accuracy throughout the supply chain
Trade efficiency with visibility and data science
Ever feel like you’re flying blind?
Find a clear path to trade efficiency
Trade promotion analysis
Plan performance – pre-plan analysis
Find your sweet spot by gaining control of trade promotions
Promotion performance – pre-promotion analysis
TPM that will jump start your trade efficiency and drive RGM when you manage the execution of your plan
Watch TPM Video
What’s your level of optimization sophistication?
The shift to ecommerce
Incremental volume and promotional planning
CPG promotional spending in the current environment
Accrual accuracy
The “gray area” of annual planning
Automating claim validation
Contract volume and incentive controls
Control contract pricing incentives to prevent revenue leakage
Award-winning solutions
Trade promotion analysis of executed promotions
Trade efficiency and redeployment of promotional spending
Tips to stay focused and identify trade spend liability
What if AI could tell you how to optimize trade spend planning?
Settlement analysis
Will your promo spending continue to underperform in the current environment?
Do you know your level of optimization sophistication?
Omnichannel in-store and online strategic planning works with insight
Watch Omnichannel Video
It’s time to identify activities, risks and gaps
Understanding overlapping merchandising conditions is complex and critical to success
Digital shelf strategy analysis
Digitalization is more than ditching the spreadsheets
Watch Digitalization Video
Embracing AI for CPG
What if AI could tell you how to optimize your trade spend planning?
AI and machine learning for trade optimization modeling
Constraint based planning
Streamlining accrual processing
Digitalization and the impact on TPM
Forecast accuracy throughout the supply chain
Bringing your data together – enterprise data repository
9 types of data to consider for predictive analytics
IT ecosystem – cross platform communication
One plan in one place – profitability end-to-end
Consumer Products Retail: Success Stories
Enterprise software for
Analytics & Reporting
Gain meaningful information and insights to drive intelligent decisions and positive actions.
Promotional Planning
Create complex, overlapping trade promotions for the account plan with multiple route-to-market customers.
Annual Planning
Deliver a shortened, more strategic planning process to meet sales objectives on budget.
Financial Accruals
Eliminate the gray area with accuracy and an understanding of true spend liability.
Fund Management
Prevent overstepping and achieve a profitable account plan with accrual accuracy.
Deduction Management
Streamline deduction management process and automate the validation challenge.
Account Planning
Manage entire account planning lifecycle based on promotion parameters and market strategy.
Broker Fees
Eliminate overpayment to brokers with automatic calculation and payment of incentives on eligible sales.
Consumer Products Retail: Blogs
Why building a use case for AI can help Revenue Growth Management in CP
View Blog >
How to improve CP trade promotions with advanced analytics
View Blog >
You can control contract pricing incentives to prevent revenue leakage and margin erosion
View Blog >
5 concepts to strategically guide effective change management with a focus on people
View Blog >
Fashion manufacturing industry trends in 2024: opportunities for better margins
View Blog >
What if AI could tell CPGs precisely how to optimize trade spend planning?
View Blog >
View More Blogs
Learn more about Consumer Products for Retail
Understand your total cost of doing business
It’s not enough anymore to understand trade spend for the promotion of products. Revenue Growth Management, Omnichannel, Optimization and Digitalization trends are increasing the complexity of your business decisions.
How can you forecast with pinpoint accuracy? How can you increase net revenue? We can help.
Submit this form to:
With the constant evolution of business requirements and the onset of new and ever-growing data sets from varied sources, Vistex’s Data Science Team can help you rethink your pricing strategy and unlock new avenues for growth, profit and competitiveness.
Pricing strategy is a core function of your organization, but it requires constant change and adaptation to achieve profitability targets. Vistex supports your business needs by incorporating smarter AI/ML (Artificial Intelligence/Machine Learning) functionality with continual refinement to fully optimize your pricing practices.
Combined with an in-depth understanding of Vistex Solutions for SAP and with alignment to our broader services, our Data Science team provides a range of service offerings and innovative packages to support your business needs, providing you with opportunities to gain additional value from your investment.
Enhance user experience with the activation of data science packages
Your pricing team can leverage the knowledge, expertise and experience that has been aggregated, tested, refined, codified and productized by Vistex. Standard packages that can be activated and configured quickly to enhance your pricing process include:
Pricing guidance and bid management for specific prices and discounts
List pricing that includes dynamic rules, hygiene factors such as brand positioning, good-better-best and responsive metrics
Trade promotion management that estimates the impact of temporary incentive programs
We take a data-driven, analytic validation run (AVR) approach that includes:
Business process review
to identify the pricing use cases to be supported
Feature engineering
to derive attributes that are meaningful and interpretable from a business perspective
Results on
hold-out period
for in-depth review by the users
Estimate of return on investment by pricing use case
to ensure your investments are worth their while
Post-activation, we can help monitor your solution, keep it up-to-date and identify opportunities that provide additional value. When new technologies or business models emerge or when you have a specific pricing challenge that needs immediate resolution, our Data Science team is ready to help.
Industry Leaders Turn To Vistex
Utilize Data Science services to refine your pricing strategies
Continuous Improvement
Your business practices continue to evolve while our team improves and enhances your data science functionality.
- Solution health check
- Solution environment review
- Managed services
- Value assessment for enhancements
- Continuous integration, delivery and deployment
Data Pricing Capabilities
Integrate with your analytics platform and capabilities by making pricing data and
pricing-specific functionality available in the form of web services.
- White space analysis
- Churn analysis in 82B
- Forecasting handling costs
- Attribute analysis
- Seasonality analysis
- List price analysis
- Estimating demand with low inventory
Transformational Services
Digital transformation offers many opportunities for change, well beyond automation. There are many
aspects of your pricing process that can be transformed. This could include the introduction of alternative
pricing models such as subscription or usage-based pricing models. Another example could be the
- Self-starter kits to launch pricing improvements for list pricing and price negotiations
- Scientific impact analysis for measuring the impact of introducing alternative pricing modes
- Generative opportunities make your verbal interactions with a pricing solution more meaningful with a solid pricing process including rigid and consistent price action monitoring and evaluation
Data Science and Pricing Resources