Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
The data deluge is upon us, but are we really making the most of it? As the sources of data multiply – from product specifications, supply chain logistics, customer insights, to sales stats – businesses are struggling to extract real-time, actionable insights to drive critical decisions. With this chaotic mix of information, it's time for a radical rethink in how we approach planning and decision-making.
Traditional ERP systems fall short, leaving planning in disarray and decision-makers in the dark. The age of short-sighted approaches is over; we need a new paradigm.
Enter AI and interconnected data, the key to unlocking contextual planning. By connecting the dots between disparate data sources, we can identify patterns, predict trends, and inform decisions in real-time. Contextual planning empowers businesses to break free from the constraints of conventional systems and embrace a more agile, responsive approach.
The tightening grip of inflation has made consumers more cautious about their expenses. In the retail and CPG industries, a noticeable trend towards "affordability" has emerged, with customers seeking cost-effective alternatives without compromising on quality.
As consumers prioritize wellness and productivity, energy drink companies need to capture evolving trends, such as ‘mood enhancers’ and ‘productivity optimizers’. We're witnessing a proactive shift towards food and beverage brands that promote holistic nutrition, mental well-being, and positive community and environmental impact. Catering to these preferences will help brands resonate with today's health-conscious consumers.
Shoppers care about the environmental footprint of their purchases and look for brands that share their values. CPG companies can prioritize sustainable practices, transparent supply chains, and eco friendly packaging to build a loyal following among eco-conscious consumers who are passionate about driving change.
The pandemic highlights the importance of a seamless omni-channel experience, merging digital and physical interactions. Consumer Packaged Goods (CPG) companies can benefit from crafting unified platforms, enabling consumers to transition easily between social media, product browsing, and shopping.
Media brands are unlocking the power of hyper-personalization to captivate and engage their audiences. Consumer data provides an incredible opportunity to deepen audience engagement and create tailored content. Brands can identify prime moments for product integration and storytelling by analyzing consumer preferences and behaviors across platforms.
Download this guide to know your consumers better and respond to their changing demands in real-time
Imagine a scenario where customer insights reveal a growing demand for a groundbreaking, organic energy drink. By adapting production to meet this demand, you ensure a steady supply of the popular product.
Next, you strategically distribute the new offering to key locations where health-conscious consumers shop, which in turn generates valuable data on customer preferences and buying patterns. This data informs your procurement decisions, allowing you to better forecast needs and negotiate with suppliers.
As the flywheel gains momentum, you optimize inventory levels by analyzing sales data and adjusting stock accordingly, reducing storage costs and waste. Simultaneously, the insights gathered from tailored distribution enable you to streamline marketing spend by targeting high-potential consumers with laser-focused precision.
We have designed the Supply Chain Optimization Flywheel to turbocharge your efficiency, profitability, and decision-making prowess by interconnecting key business aspects.
The data-driven flywheel for S&OP and factory planning work through seamless connections between its parts, creating a cycle of constant progress and adaptation. Here's how it operates:
Demand Planning
Start by using external data to predict demand and adjust production plans. This will help you match market trends and customer preferences.
Supply Planning
With accurate demand forecasts, you can improve supplier collaboration and manage the supply chain better, ensuring a smooth flow of materials for production.
Inventory Planning
By connecting data from marketing, sales, and market changes, you can optimize inventory levels, balancing stock availability and storage costs while keeping customers happy.
Factory Planning
Use demand and supply data to optimize factory schedules, minimize downtime, and keep operations running smoothly. Advanced technologies like digital twin will help you identify and fix potential issues quickly.
Marketing and Sales Planning
With insights from demand planning and inventory management, you can allocate marketing resources effectively and create targeted campaigns, maximizing marketing ROI and reaching the right customers at the right time.
Throughout this journey, your supply chain management system will continuously plug in real-time insights from each stage into the flywheel, creating a self-sustaining loop that continually refines the planning process. This agile, interconnected approach enables you to effectively launch and manage your limited edition product, and react to any changes in consumer preferences or market conditions with speed and precision.
We have meticulously chosen a collection of digital use cases, with an emphasis on value generation, implementation feasibility, and compatibility with corporate ESG objectives. Our selection methodology involved comprehensive discussions with CPG CxOs, past executives, industry frontrunners, and valuable insights from our partner, Google Cloud.
Grounded in extensive industry research and our indepth expertise, these use cases target three fundamental areas: consumer growth, go-to-market approaches, and streamlined operations. By concentrating on these well-defined initiatives, you can harness the power of digital transformation to achieve success both now and in the future.
| Unlocking consumer growth with data-powered insights |
Marketing spend optimization |
ROI maximization through attribution modeling |
Personalized marketing at scale |
Digitally enabled experiences for your events |
Design-to-value for new products |
Enhanced consumer profiling (Consumer 360) |
Predictive customer analytics |
| Transforming go-to-market in an omnichannel ecosystem |
Offline channel-specific mix optimization |
Online marketplace channel optimization |
Retail execution and merchandising |
Trade promotion optimization for events and campaigns |
E-Commerce channel set-up and hosting |
AI-powered product recommendations |
| Driving connected and efficient,sustainable operations |
Waste-reducing and energy efficiency-optimizing production processes |
Real-time performance and OEE management |
Demand forecasting-driven supply planning |
Digital twin for your supply chain |
Sustainability-focused supply chain optimization and reporting |
Ingredient traceability |
Harness the power of Google Adtech data to transform your marketing efforts. Optimize your budget allocation, supercharge your strategic goals, and maximize your return on investment. With advanced attribution models and channel analytics, we don't just optimize your marketing spend – we revolutionize it.
Analytics-Driven Understanding
Uncover the underlying factors that drive visits and conversions with our AI-powered analytics.
Campaign Efficiency Tracking
Evaluate the performance of your marketing channels and campaigns at an unprecedented granular level.
Hyper Personalization
Leverage AI-driven insights to create deeply personalized customer experiences and boost engagement.
Content Optimization
Use AI-powered insights to target your content based on audience behavior and preferences.
Cross-Channel Integration
Seamlessly link your marketing efforts across various channels to increase overall impact.
Forecasting Emerging Trends
Utilize AI to predict and capitalize on budding trends and opportunities.
Marketing Spend Optimization
Leverage AI-guided tools to optimize your marketing budget, thereby maximizing ROI and achieving strategic goals.
| Marketing Challenges | AI & ML Solutions with Pluto7 |
How can we anticipate and respond to future trends? |
Leverage predictive analytics to identify and seize emerging trends |
How can we ensure a higher ROI on our marketing spend? |
Employ AI-guided marketing spend optimization for amplified ROI |
How can we accurately evaluate our channel performance? |
Use real-time, data-driven channel performance analysis |
How can we target our audience more specifically? |
Utilize hyper-granular audience segmentation and personalization |
How can we gain deeper insights from our campaign analysis? |
Implement advanced multi-touch attribution models for comprehensive campaign insights |
How can we optimize our budget allocation? |
Apply dynamic, data-driven budget allocation based on performance and trends |
How can we enhance our remarketing efforts? |
Deploy AI-powered remarketing strategies for maximum impact |
How can we improve content targeting? |
Employ content targeting based on audience behavior and preferences |
How can we integrate our marketing efforts across channels? |
Facilitate seamless cross-channel integration and performance tracking |
In order to maximize the impact of these AI and ML-powered solutions, we have devised a flywheel that illustrates how these components can work together to unlock your marketing potential.
Predictive Analytics
This is where it all starts. By using AI and ML to analyze historical data, our platform can forecast emerging trends that’ll guide your team in the right direction.
Dynamic Budget Optimization
With our understanding of audience behavior and emerging trends, we can enable you to dynamically allocate your marketing budget to the most impactful channels and campaigns. This ensures that every dollar spent is optimized for maximum ROI.
Hyper-Granular Segmentation
Predictive analytics enables us to understand consumer behavior at a granular level. This allows for precise audience segmentation and personalization, ensuring that your marketing efforts are targeted effectively.
Advanced Multi-Touch Attribution
By tracking the performance of different channels and campaigns, we can provide with comprehensive insights. This allows for continuous optimization and refining of marketing efforts.
AI-Powered Remarketing
By leveraging AI, we can devise remarketing strategies that make the most of your customer data. This ensures that customers are re-engaged effectively, driving conversions and repeat business.
Seamless Cross-Channel Integration
Lastly, all these components are integrated across channels, ensuring that your marketing efforts are cohesive and harmonized. This not only maximizes overall impact but also provides a consistent and personalized customer experience.
By implementing these AI and ML-powered solutions, you can expect:
In the rapidly evolving world of commerce, the traditional boundaries between physical and digital marketplaces are blurring. For you, this presents an opportunity to redefine its go-to-market strategy, leveraging the power of AI and Machine Learning. We propose a set of carefully chosen use cases, each designed to unlock unprecedented value in their omnichannel approach.
Offline Channel-specific Mix Optimization
Streamline your offline presence by identifying the most effective retail and distribution channels.
Online Marketplace Channel Optimization
Maximize the impact of your products in the digital world by targeting the right online marketplaces.
Trade Promotion Optimization
Achieve maximum return on marketing efforts by optimizing the allocation of trade spend across various retail outlets.
Retail Execution and Merchandising
Use data-driven insights to optimize in-store presentations, displays and shelf space.
| Marketing Challenges | AI & ML Solutions with Pluto7 |
How do we identify the right mix of offline channels? |
AI can analyze consumer behavior and preferences to identify the most effective retail and distribution channels. |
How can we optimize our presence in online marketplaces? |
ML algorithms can analyze online marketplace data to determine the most impactful strategies. |
How can we enhance in-store presentations and displays? |
AI can use image recognition data to optimize product displays based on consumer interactions. |
How do we maximize the return on our trade promotion efforts? |
AI can optimize trade spend allocation based on historical data and predictive analytics. |
How do we deliver personalized product recommendations? |
AI can analyze consumer data in real-time to deliver highly personalized product recommendations. |
By integrating these solutions, you can create an omnichannel flywheel where each use case feeds into the next, creating a continuous cycle of data-driven insights and optimizations.
The Flywheel can be broken down into key components, each working in tandem to drive growth and operational efficiency. Here's how they interconnect:
Offline Channel-specific Mix Optimization
The flywheel starts with AI optimizing your offline presence, improving partner-specific marketing based on consumer data. This sets the stage for an enhanced online marketplace strategy.
Online Marketplace Channel Optimization
Using offline insights, ML algorithms amplify your impact in partner-led e-commerce stores. This increases sales, while gathering crucial customer data for enhancing retail execution.
Trade Promotion Optimization
Insights from offline and online channels enhance retail execution at partner outlets, driving customer loyalty, improved fill rates, and repeat purchases. This creates a feedback loop, feeding valuable data back into the system.
Retail Execution and Merchandising
Insights from all channels are leveraged to optimize trade promotion efforts, driving partner-specific campaigns. This strengthens the flywheel's momentum, fueling both offline and online channel optimization, and feeding back into retail execution.
By implementing these AI and ML-powered solutions and following our flywheel approach, you can expect:
CLICK HERE: Start Your 14 Day Free Trial
Driving efficiency and sustainability in operations are not just about reducing costs and waste. It's about creating resilient, agile, and eco-friendly operation that can respond to changes in demand, improve product quality, and enhance the brand's reputation. By leveraging AI and ML solutions, you can transform its operations and supply chain to be more connected, efficient, and sustainable.
Real-Time Performance and OEE Management
Leverage real-time data and analytics to continuously monitor and manage the productivity and performance of all equipment and assets during production.
Waste-Reducing and Energy Efficiency
Utilize AI and ML techniques to assess waste production and energy consumption across all manufacturing steps, resulting in optimized production processes that enhance sustainability and efficiency.
Demand Forecasting-Driven Supply Planning
Implement ML models that harness real-time data and insights, enabling accurate demand forecasting and supply planning to avoid stock-outs and excess inventory.
Digital Twin for Your Supply Chain
Create a virtual model of your supply chain, allowing for real-time tracking, improved decision-making, and proactive response to potential disruptions or changes.
Sustainability-Focused Supply Chain Optimization and Reporting
Enhance supply chain sustainability and transparency with AI and ML, including real-time tracking and reporting on key sustainability metrics.
Ingredient Traceability
Ensure consumer trust and compliance with regulations by leveraging AI and ML for transparent and accurate ingredient traceability across your entire product range.
| Challenges in Operations and Supply Chain | AI/ML-Driven Solutions with Pluto7 |
How to reduce waste and energy consumption in production? |
AI-powered optimization models for waste reduction and energy efficiency |
How to improve equipment performance and productivity? |
Real-time performance and OEE management using IoT and AI |
How to accurately predict demand and optimize supply planning? |
AI-based demand forecasting and supply planning |
How to increase visibility and control over the supply chain? |
Digital twin technology for supply chain visibility and optimization |
How to integrate sustainability considerations into operations? |
AI-driven sustainability optimizations and reporting in the supply chain |
How to ensure the traceability of ingredients in beverages? |
Advanced AI-powered traceability systems for ingredient tracking |
How to respond quickly to changes in demand or disruptions in the supply chain? |
Adaptive AI models for real-time demand forecasting and supply chain management |
How to improve product quality and consistency across different facilities? |
AI-driven quality control and process optimization systems |
Harnessing the power of AI and ML, you can transform your operations into a self-reinforcing cycle of continuous improvement and sustainability. The components of this flywheel effect will work together, each fueling the other, to drive operational efficiency, sustainability, and business value.
Waste Reduction and Energy Efficiency
Initiating the flywheel, AI and ML pinpoint production inefficiencies, enabling real-time adjustments to reduce waste and optimize energy use.
Real-time Performance and OEE Management
IoT sensors and AI algorithms monitor and enhance equipment performance instantly, fueling the flywheel's momentum.
Demand Forecasting and Supply Planning
Leveraging historical and real-time data, AI models accurately forecast demand, ensuring optimal inventory levels and pushing the flywheel forward.
Digital Twin of the Supply Chain
Further driving the flywheel, a digital twin enables the simulation of various scenarios for bottleneck identification and strategic optimization.
Sustainability-focused Supply Chain Optimization
The flywheel gains speed as AI assists in integrating sustainability into your supply chain, suggesting ecofriendly alternatives, and monitoring the impact.
Ingredient Traceability
Adding the final push, AI enhances ingredient traceability in your products, promoting quality, safety, and consumer trust.
By implementing these AI and ML-powered solutions and following our flywheel approach, you can expect:
CLICK HERE: Start Your 14 Day Free Trial
We've leveraged our deep domain expertise and industry insights to identify seven priority areas for the CPG industry in 2023. These areas offer high potential for significant business impact through the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies.
Our selection of these strategic focus areas was driven by a rigorous evaluation of several key factors. We considered the potential 'time-to-value' offered by AI and ML initiatives in each area - the speed at which you could expect to see substantial returns on their investment. We also assessed the assumed business needs of the CPG industry, based on our internal customer research as well as the wider trends shaping the industry.
In addition, we evaluated the potential of each area to yield long-term impact. We believe that the true value of AI and ML lies not just in achieving quick wins, but in driving sustained improvements that can redefine performance benchmarks and deliver a lasting competitive edge.
The seven priority areas we've identified represent a blend of immediate opportunities for efficiency gains and longer-term initiatives that can drive business transformation. They offer a roadmap for you to harness the power of AI and ML in a strategic, focused manner, reaping maximum value from your digital transformation efforts.
As you embark on this journey towards becoming an AI-driven enterprise, we're committed to offering the guidance, support, and expertise needed to navigate the challenges and seize the opportunities that lie ahead.
Trade promotion optimization (TPO) focuses on tracking, monitoring, and optimizing trade spend - the amount you would invest in promoting your products at retail outlets. By optimizing trade promotion marketing efforts, you can drive both top-line growth and cost reduction. Advanced analytics and AI/ML-driven automation are key drivers in maximizing the impact of trade promotions.
| Execution Challenges | Pluto7’s Solutions |
How can we accurately forecast promotion impact? |
AI-powered predictive modeling |
What is the optimal trade spend allocation? |
ML-driven allocation optimization |
How can we track promotion performance in real-time? |
Real-time analytics and performance monitoring |
How can we tailor promotions to specific customer segments? |
Hyperpersonalized in-store promotions |
How can we improve collaboration with retailers? |
Enhanced data sharing and retailer collaboration tools |
How do we analyze post-promotion effectiveness? |
Automated post-promotion analysis and insights |
How can we reduce promotion-related costs? |
Cost optimization through targeted promotions and spend allocation |
Optimizing your offline channel-specific mix is crucial to maximizing customer reach and increasing sales. By analyzing customer preferences, regional demographics, and other factors, AI/ML-driven solutions can help you identify the most effective offline channels for specific markets and products.
| Key Challenges | AI & ML Solutions with Pluto7 |
How to identify the most effective channels? |
AI-driven channel analysis and effectiveness scoring |
How to target the right retail locations? |
AI-powered retail location targeting based on consumer behavior and preferences |
How to optimize marketing spend across channels? |
AI-driven marketing spend optimization for offline channels |
How to adapt channel strategies to changing trends? |
AI-driven channel strategy adaptation based on market trends and dynamics |
How to maximize reach and brand visibility? |
AI-optimized offline channel mix for maximum reach and brand visibility |
How to leverage location data for channel optimization? |
AI-driven location data analysis for targeted channel strategies |
Optimizing your offline channel-specific mix is crucial to maximizing customer reach and increasing sales. By analyzing customer preferences, regional demographics, and other factors, AI/ML-driven solutions can help you identify the most effective offline channels for specific markets and products.
| Key Challenges | AI & ML Solutions with Pluto7 |
How to identify the most effective channels? |
AI-driven channel analysis and effectiveness scoring |
How to target the right retail locations? |
AI-powered retail location targeting based on consumer behavior and preferences |
How to optimize marketing spend across channels? |
AI-driven marketing spend optimization for offline channels |
How to adapt channel strategies to changing trends? |
AI-driven channel strategy adaptation based on market trends and dynamics |
How to maximize reach and brand visibility? |
AI-optimized offline channel mix for maximum reach and brand visibility |
How to leverage location data for channel optimization? |
AI-driven location data analysis for targeted channel strategies |
In the modern world, businesses need to balance financial success with a commitment to sustainability. By optimizing production processes to reduce waste and enhance energy efficiency, you can make significant environmental contributions while also realizing substantial cost savings.
| Execution Challenges | Pluto7’s Solutions |
How can we systematically evaluate waste production and energy consumption across all stages of manufacturing? |
AI-enabled production process assessment provides a comprehensive evaluation of waste and energy usage. |
How can we reduce energy usage across manufacturing operations? |
Machine Learning algorithms optimize energy efficiency across all operations. |
What is the best way to manage and reduce waste production? |
AI's real-time monitoring and waste reduction strategies effectively tackle waste. |
How can we quickly react to unexpected increases in waste and energy consumption? |
Real-time alerting systems powered by AI enable rapid response. |
How can we adjust manufacturing parameters in real-time to minimize waste and energy consumption? |
AI's automated adjustment capability allows for proactive, real-time adjustments. |
How can we understand the interdependencies and impacts of various manufacturing steps on waste and energy usage? |
Integrated data analysis enabled by AI provides holistic insights into the production chain. |
The measure of Overall Equipment Effectiveness (OEE) serves as a gold standard in gauging the productivity of manufacturing operations. With the integration of Artificial Intelligence (AI) and Machine Learning (ML), this concept takes a leap forward, offering real-time monitoring, instant insights, and automated adjustments. You can revolutionize your production process by embracing this advanced approach, ensuring top-notch equipment performance and productivity.
| Execution Challenges | Pluto7’s Solutions |
How can we measure and improve the effectiveness of our equipment in real-time? |
Implement real-time OEE management systems powered by AI. |
How can we maximize equipment availability and performance? |
Utilize AI-driven automated adjustments and predictive maintenance strategies. |
How can we enable our production managers to access real-time insights? |
Develop an intuitive app that provides instant access to performance insights. |
How can we provide our leadership team with a comprehensive view of operations across plants? |
Enable cross-plant visibility through digital dashboards. |
How can we promptly identify and address production inefficiencies? |
Leverage AI-driven analytics for instant insight generation and performance tracking. |
How can we understand the interdependencies and impacts of various manufacturing steps on waste and energy usage? |
Integrated data analysis enabled by AI provides holistic insights into the production chain. |
In a world where consumer demand can fluctuate rapidly, the ability to accurately forecast demand is vital for the success of any product-based company. A shift towards real-time, data-driven demand forecasting can help you avoid stock outs and excess inventory, thus optimizing inventory levels and ensuring the best use of resources. Leveraging Machine Learning (ML) models, we can use a multitude of factors such as past demand, sales, inventory, promotional events, economic conditions, and more to predict demand and accordingly plan supply.
| Execution Challenges | Pluto7’s Solutions |
How can you accurately predict demand fluctuations in real-time? |
Real-time Demand Forecasting uses ML models for precise, instantaneous predictions. |
How can supply planning be automated to maintain optimal inventory levels? |
Automated Supply Planning initiates necessary supply chain actions based on real-time forecasts. |
How can demand be forecasted at the granular level of individual product categories? |
Category-level Demand Forecasting uses predictive analytics to provide detailed insights. |
Can demand be forecasted geographically to inform region-specific supply chain strategies? |
Geographic Demand Forecasting predicts demand at the regional level for tailored strategies. |
How can planned promotional events be factored into demand forecasting? |
Event-driven Demand Forecasting incorporates event data to predict their impact on demand. |
How can the risk of stock-outs and overstocking be minimized? |
Predictive Inventory Management recommends optimal stock levels based on demand forecasts. |
Can data from the supply chain, marketing, and sales be integrated for more informed decision-making? |
Integrated Data for Optimization connects data across these areas, providing comprehensive view for decision-making. |
AI-powered product recommendations will enable you to provide personalized suggestions to customers, improving their shopping experience and driving sales. By analyzing consumer behavior, preferences, and external factors, AI algorithms can generate tailored recommendations that resonate with individual customers.
| Product Recommendation Challenges | AI & ML Solutions with Pluto7 |
How to understand individual user preferences? |
AI-driven user behavior analysis and preference modeling. |
How to personalize recommendations in realtime? |
Dynamic, real-time personalized recommendations based on user interactions. |
How to effectively cross-sell and upsell? |
Intelligent cross-selling and upselling strategies, leveraging user behavior patterns. |
How to provide context-aware suggestions? |
AI-generated context-aware product suggestions based on user browsing history and preferences. |
How to utilize collective user preferences? |
Collaborative filtering based recommendations, taking into account preferences of similar users. |
How to recommend products based on attributes? |
Content-based recommendations utilizing AI analysis of product attributes and features. |
How to target specific customer segments? |
Advanced customer segmentation using AI for targeted recommendations and promotions. |
Leverage Gen AI and LLM to leapfrog your competition. Request a Demo to see how our AI-powered solutions can assist you in data-driven transformation journey
In an era where data forms the crux of decision-making, the ability to unify, analyze and drive actionable insights from data, irrespective of its source and format, is critical. Partnering with Google Cloud and SAP, Pluto7 offers a seamless, cost-effective solution for companies to derive real-time, scalable insights.
Our unique proposition lies in our ability to integrate data from SAP applications, other enterprise systems, Google marketing data, and external sources in BigQuery, Google’s versatile multi-cloud data warehouse. Further, with Looker’s business intelligence platform, we empower users to gain deeper insights, driving innovation, personalized marketing, and improved product assortments.
Harness the power of AI and ML to enable real-time scheduling, routing processes, and more by leveraging unified data from your logistics systems, SAP, and Google Maps. With real-time data analysis, detect emerging product concerns and streamline alert processes for immediate action.
Furthermore, we enable CPG companies to truly optimize trade promotions by merging SAP’s Trade Promotion Management capabilities with the power of Google Cloud’s AI. From building models to identify optimal trade promotion scenarios to executing optimized promotions, we help you drive business insights and maximize the ROI of your trade promotions.
Pluto7 is uniquely positioned to guide your journey towards digital transformation, with our deep expertise in AI, ML, and data integration. Our collaboration with Google Cloud and SAP offers an unparalleled opportunity to revolutionize business productivity and collaboration processes, empowering your teams to accomplish more.
We invite you to participate in our discovery workshop and begin your transformation journey with Pluto7. Discover how we can empower your business to navigate the complex landscape of data-driven decision making. Let's redefine the future, together.
