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IBM Analytics for

Consumer Products

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Transforming Consumer Products

Companies in the Consumer Products industry use data and analytics to differentiate the brand experience driving 1:1 consumer engagement, improving collaboration and operational excellence with retailers, and reducing supply chain cost and inefficiencies.

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Find Solutions

IBM has a suite of solutions to create a solid foundational data and analytics platform for customer, merchandising and operational decisions. Choose the area you are trying to improve in your business below to learn how we can help.

Consumer Insights and Engagement

Channel Partner Analytics

Supply Chain Analytics and Optimization

Consumer Insights and Engagement

Consumer Insights and Engagement is the ability to engage consumers with messages and offers at any point in time, demonstrating that your company really knows and understands each customer individually.

Contextual View of the Consumer

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Brand enthusiasm is a more relevant way to understand consumers in today’s digital landscape.



How can I create deeper consumer insights into consumption and purchase behavior to improve marketing and new product innovation?


IBM® Consumer Insights and Engagement for Consumer Products offers a pre-integrated set of data integration, data management, analytics and marketing capabilities that can help your company maximize the value of consumer information. It enables you to quickly and cost-effectively analyze the wealth of consumer data currently available. With better insight into consumer path to purchase, marketing and sales groups can produce precise, personalized communications that improve their return on marketing spend, enhance brand engagement, and drive loyalty and advocacy.



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Local and Social Analytics

View the journey map

IBM Consumer Insights and Engagement journey map is a business use case scenario story board that describes how a disassociated shopper can be nurtured to become a loyal brand enthusiast.



How can I infuse local market data to create new consumer insights and experiences?


Capitalize on IBM's relationships with leading social media capabilities from Twitter, Facebook and the Weather Service to discover new insights those data sources provide. Social Merchandising for Consumer Products uses insights from consumer-generated data to improve merchandising and assortment decisions with improved localization and timeliness. Users can identify trends and react more quickly to improve inventory turnover and sales, gain insights into quality and value perceptions to improve client satisfaction and loyalty.



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Next Best Action

This IBM® Redguide® publication introduces the IBM Predictive Customer Intelligence solution and highlights the business value of the solution.



How can I deliver more timely, compelling interactions to improve consumer engagement with the brand?


Predictive analytics delivers insight about consumer purchase behavior and path to purchase activity. Predictive models enhance decision support to ensure optimal nurturing of brand loyalty with more precise marketing actions. So what are some next best actions your data and analytics can prescribe? Consumer Products companies can use this insight to develop relevant, targeted and timely communications, promotions, recommendations, product and service offerings, and incentives. The possibilities for increasing revenue opportunities and strengthening consumer loyalty are limitless.


Learn more about how IBM Analytics can help you deliver more timely, compelling interactions to improve consumer engagement with your brand.



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Channel Partner Analytics

Channel Partner Analytics improves planning, execution and measurement of trade promotions to increase return on trade spend.

Promotions Planning, Execution and Compliance

Sales and Promotion Analytics Journey Map: Art of the possible business use case story board for describing optimal Promotions Planning and Execution using data and analytics.



How can I better evaluate current performance and predict future performance of promotions to optimize results?


The IBM® Sales and Promotion Analytics solution provides a rich set of integrated data, advanced analytics, tools, and services to help Consumer Products businesses improve price, promotion, assortment planning and execution, as well as store-level sales and category management. New insights help trade marketing teams improve planning and optimize the design of promotions. Customer teams can enhance collaboration with retailers by presenting strong, fact-based evidence to support innovative new promotions that drive volume and profits for both the brand and the category. This allows marketers to better identify underperforming promotions and make informed modifications in-flight to improve results. With better insights, Consumer Products businesses can increase the return on trade marketing spend and boost overall revenue.



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Customer and SKU Profitability

Anticipating Demand Signals: Amid a host of changes in the Consumer Products industry, the goal of growing ever closer to the consumer remains constant.



How can I understand the profitability of my consumers and products to make better operational decisions?


Manufacturers must consider the consumer in all operational decisions, not just sales and marketing. Consumers can inform every aspect of a manufacturer's business, from how the supply network operates to which retail partners are most appropriate. By analyzing critical market and operational data, companies can transform their entire value chain and learn to anticipate consumer needs, not react to them.



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Sales Force Optimization

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Shaw speeds incentive compensation processing with sales performance management solution.



How can I better measure and deploy sales resources based on maximizing specific business objectives?


Automating the process of administering, calculating, reporting and analyzing variable-based pay programs helps companies increase accuracy, reduce costs and improve visibility into sales performance and compensation plans.



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Supply Chain Analytics and Optimization

Supply Chain Analytics and Optimization allows Consumer Products companies to balance operational, financial and sustainability objectives by applying advanced analytics and optimization against integrated demand and supply signals. 

Predictive and Proactive Maintenance

Optimize the production time and life expectancy of your assets.



How can I reduce costs and extend the life of my production and distribution assets?


In a world where machine downtime and production losses are being accepted as normal, Predictive Asset Optimization holds the promise to pave the way for predictive and prescriptive operations and take us into a future of self-healing autonomous machines.



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Inventory Optimization

Perfect Replenishment: A new set of supply chain measures, called the Replenishment Index, can help drive the next decade of supply chain improvements.



How can I proactively optimize levels and location of inventory to better balance service levels and cost?


Advances in technology, process and organization now enable Consumer Products companies to manage the supply chain through to the consumer. Core supply chain metrics need to keep pace and continue to drive greater performance.



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Internet of Things Analytics

Optimize your Internet of Things strategy with predictive analytics by using data to improve product and service offerings.



How can I leverage data from sensor enabled devices to create new sources of value?


The Internet of Things represent a transformational opportunity for organizations that successfully acquire, analyze and act on data produced by myriad devices and their connections. In many instances, you can gain real-time insight into product performance and usage. Moreover, you can use these insights to refine or invent new product or service capabilities, address new markets and even redefine your business models.



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Free customized workshop


IBM Analytics experts are standing by to learn about your business and help you identify the solutions that can transform how you use your data. Register for a free workshop and an IBM Analytics expert will contact you for the next steps.

      1-877-426-3774 Priority code: Analytics Industry

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1-877-426-3774 Priority code: Analytics Industry


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