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Last year, in 2025, we saw that the winners in the CPG procurement space were those that addressed the maturity issue. Maturity in data quality and usage, organizational maturity, and process maturity. So it makes sense to start the year with a maturity check.
‍
Are your IT, Finance, Procurement and Supply Chain teams working from one source of truth? Is your data fit for purpose? Do you have clear processes and a view of your target operating model? Is your organizational design correct to meet the challenges you face? Are your category teams working to standardized methodologies for spend and PPV (Purchase Price Variance) analysis? Do you have the correct systems in place to drive easy access to KPIs and the ability to run scenarios based on your key cost drivers?
If you cannot answer yes to the above, then you should start by addressing these foundational requirements.
‍
Automating connected planning so that procurement cost drivers are automatically mapped to analysis of volumes, spend, and purchase price variance analysis across annual operating plans and forecasts. Management and teams working to co-create scenario models to guide aligned decision making, allowing the business to execute against shared value-based goals.
The continued rise in the use of predictive, generative and agentic AI agents in all aspects of procurement will continue to change the face of planning beyond productivity increases, impacting forecasting, decision automation, UX, and cross-functional collaboration. Predictive AI will continue to enhance forecast precision and scenario optimization, generative AI offering conversational insight access, and agentic AI autonomously detecting patterns, anomalies, and workflow triggers.
Materials procurement is complex and varies by category across ingredients and packaging. Leading companies will manage Spend and PPV analysis based on a limited number of standardized cost model archetypes, simplifying complexity and standardizing the way of working, improving forecast and analysis.
Different hedging strategies and complexity in supplier base add complexity to analysis beyond pure spend and purchase price variance. The use of agile real-time scenario analysis will continue to grow to successfully steer the business.
Procurement organizations will move beyond "savings" reported as an estimate based on key supplier discussions to disciplined PPV and variance narratives that finance trusts. EPM platforms like Anaplan connect spend forecasts to budgets and purchase price variance analysis in real-time—enabling "what if" scenarios.
‍
If you want to know more or keep up to date, follow our posts or contact Keyrus EPM.
Last year, in 2025, we saw that the winners in the CPG procurement space were those that addressed the maturity issue. Maturity in data quality and usage, organizational maturity, and process maturity. So it makes sense to start the year with a maturity check.
‍
Are your IT, Finance, Procurement and Supply Chain teams working from one source of truth? Is your data fit for purpose? Do you have clear processes and a view of your target operating model? Is your organizational design correct to meet the challenges you face? Are your category teams working to standardized methodologies for spend and PPV (Purchase Price Variance) analysis? Do you have the correct systems in place to drive easy access to KPIs and the ability to run scenarios based on your key cost drivers?
If you cannot answer yes to the above, then you should start by addressing these foundational requirements.
‍
Automating connected planning so that procurement cost drivers are automatically mapped to analysis of volumes, spend, and purchase price variance analysis across annual operating plans and forecasts. Management and teams working to co-create scenario models to guide aligned decision making, allowing the business to execute against shared value-based goals.
The continued rise in the use of predictive, generative and agentic AI agents in all aspects of procurement will continue to change the face of planning beyond productivity increases, impacting forecasting, decision automation, UX, and cross-functional collaboration. Predictive AI will continue to enhance forecast precision and scenario optimization, generative AI offering conversational insight access, and agentic AI autonomously detecting patterns, anomalies, and workflow triggers.
Materials procurement is complex and varies by category across ingredients and packaging. Leading companies will manage Spend and PPV analysis based on a limited number of standardized cost model archetypes, simplifying complexity and standardizing the way of working, improving forecast and analysis.
Different hedging strategies and complexity in supplier base add complexity to analysis beyond pure spend and purchase price variance. The use of agile real-time scenario analysis will continue to grow to successfully steer the business.
Procurement organizations will move beyond "savings" reported as an estimate based on key supplier discussions to disciplined PPV and variance narratives that finance trusts. EPM platforms like Anaplan connect spend forecasts to budgets and purchase price variance analysis in real-time—enabling "what if" scenarios.
‍
If you want to know more or keep up to date, follow our posts or contact Keyrus EPM.
Last year, in 2025, we saw that the winners in the CPG procurement space were those that addressed the maturity issue. Maturity in data quality and usage, organizational maturity, and process maturity. So it makes sense to start the year with a maturity check.
‍
Are your IT, Finance, Procurement and Supply Chain teams working from one source of truth? Is your data fit for purpose? Do you have clear processes and a view of your target operating model? Is your organizational design correct to meet the challenges you face? Are your category teams working to standardized methodologies for spend and PPV (Purchase Price Variance) analysis? Do you have the correct systems in place to drive easy access to KPIs and the ability to run scenarios based on your key cost drivers?
If you cannot answer yes to the above, then you should start by addressing these foundational requirements.
‍
Automating connected planning so that procurement cost drivers are automatically mapped to analysis of volumes, spend, and purchase price variance analysis across annual operating plans and forecasts. Management and teams working to co-create scenario models to guide aligned decision making, allowing the business to execute against shared value-based goals.
The continued rise in the use of predictive, generative and agentic AI agents in all aspects of procurement will continue to change the face of planning beyond productivity increases, impacting forecasting, decision automation, UX, and cross-functional collaboration. Predictive AI will continue to enhance forecast precision and scenario optimization, generative AI offering conversational insight access, and agentic AI autonomously detecting patterns, anomalies, and workflow triggers.
Materials procurement is complex and varies by category across ingredients and packaging. Leading companies will manage Spend and PPV analysis based on a limited number of standardized cost model archetypes, simplifying complexity and standardizing the way of working, improving forecast and analysis.
Different hedging strategies and complexity in supplier base add complexity to analysis beyond pure spend and purchase price variance. The use of agile real-time scenario analysis will continue to grow to successfully steer the business.
Procurement organizations will move beyond "savings" reported as an estimate based on key supplier discussions to disciplined PPV and variance narratives that finance trusts. EPM platforms like Anaplan connect spend forecasts to budgets and purchase price variance analysis in real-time—enabling "what if" scenarios.
‍
If you want to know more or keep up to date, follow our posts or contact Keyrus EPM.
Last year, in 2025, we saw that the winners in the CPG procurement space were those that addressed the maturity issue. Maturity in data quality and usage, organizational maturity, and process maturity. So it makes sense to start the year with a maturity check.
‍
Are your IT, Finance, Procurement and Supply Chain teams working from one source of truth? Is your data fit for purpose? Do you have clear processes and a view of your target operating model? Is your organizational design correct to meet the challenges you face? Are your category teams working to standardized methodologies for spend and PPV (Purchase Price Variance) analysis? Do you have the correct systems in place to drive easy access to KPIs and the ability to run scenarios based on your key cost drivers?
If you cannot answer yes to the above, then you should start by addressing these foundational requirements.
‍
Automating connected planning so that procurement cost drivers are automatically mapped to analysis of volumes, spend, and purchase price variance analysis across annual operating plans and forecasts. Management and teams working to co-create scenario models to guide aligned decision making, allowing the business to execute against shared value-based goals.
The continued rise in the use of predictive, generative and agentic AI agents in all aspects of procurement will continue to change the face of planning beyond productivity increases, impacting forecasting, decision automation, UX, and cross-functional collaboration. Predictive AI will continue to enhance forecast precision and scenario optimization, generative AI offering conversational insight access, and agentic AI autonomously detecting patterns, anomalies, and workflow triggers.
Materials procurement is complex and varies by category across ingredients and packaging. Leading companies will manage Spend and PPV analysis based on a limited number of standardized cost model archetypes, simplifying complexity and standardizing the way of working, improving forecast and analysis.
Different hedging strategies and complexity in supplier base add complexity to analysis beyond pure spend and purchase price variance. The use of agile real-time scenario analysis will continue to grow to successfully steer the business.
Procurement organizations will move beyond "savings" reported as an estimate based on key supplier discussions to disciplined PPV and variance narratives that finance trusts. EPM platforms like Anaplan connect spend forecasts to budgets and purchase price variance analysis in real-time—enabling "what if" scenarios.
‍
If you want to know more or keep up to date, follow our posts or contact Keyrus EPM.
Last year, in 2025, we saw that the winners in the CPG procurement space were those that addressed the maturity issue. Maturity in data quality and usage, organizational maturity, and process maturity. So it makes sense to start the year with a maturity check.
‍
Are your IT, Finance, Procurement and Supply Chain teams working from one source of truth? Is your data fit for purpose? Do you have clear processes and a view of your target operating model? Is your organizational design correct to meet the challenges you face? Are your category teams working to standardized methodologies for spend and PPV (Purchase Price Variance) analysis? Do you have the correct systems in place to drive easy access to KPIs and the ability to run scenarios based on your key cost drivers?
If you cannot answer yes to the above, then you should start by addressing these foundational requirements.
‍
Automating connected planning so that procurement cost drivers are automatically mapped to analysis of volumes, spend, and purchase price variance analysis across annual operating plans and forecasts. Management and teams working to co-create scenario models to guide aligned decision making, allowing the business to execute against shared value-based goals.
The continued rise in the use of predictive, generative and agentic AI agents in all aspects of procurement will continue to change the face of planning beyond productivity increases, impacting forecasting, decision automation, UX, and cross-functional collaboration. Predictive AI will continue to enhance forecast precision and scenario optimization, generative AI offering conversational insight access, and agentic AI autonomously detecting patterns, anomalies, and workflow triggers.
Materials procurement is complex and varies by category across ingredients and packaging. Leading companies will manage Spend and PPV analysis based on a limited number of standardized cost model archetypes, simplifying complexity and standardizing the way of working, improving forecast and analysis.
Different hedging strategies and complexity in supplier base add complexity to analysis beyond pure spend and purchase price variance. The use of agile real-time scenario analysis will continue to grow to successfully steer the business.
Procurement organizations will move beyond "savings" reported as an estimate based on key supplier discussions to disciplined PPV and variance narratives that finance trusts. EPM platforms like Anaplan connect spend forecasts to budgets and purchase price variance analysis in real-time—enabling "what if" scenarios.
‍
If you want to know more or keep up to date, follow our posts or contact Keyrus EPM.
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