Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
December 21, 2023 | Manju Devadas
Blog / The Enterprise Challenge: Ready for Generative AI, But Where’s the Infrastructure?
In the rush to embrace the latest technological marvels, many enterprises are leaping without looking, overlooking crucial prerequisites. First, there’s the business case – or rather, the lack of one. Companies are often so dazzled by the promise of cutting-edge tech that they fail to align it with their actual business needs. It’s like acquiring a sports car when you really need a pickup truck. Then, there’s the current data infrastructure, often neglected in the excitement. It’s similar to trying to run the latest software on an outdated computer. Without addressing these foundational aspects, these enterprises are setting themselves up for a tech journey that’s all flash and no substance, potentially leading to costly missteps and underutilized innovations.
What enterprises are eager to achieve today:
The above image showcases the Gen AI capability of Planning in a Box, Pluto7’s Decision Intelligence Platform. Essential to its design is a built-in data foundation, ensuring a robust base for leveraging advanced AI and Gen AI functionalities.
…But this is where their current data infrastructure is:
Enterprises everywhere are buzzing about the promise of Generative AI (Gen AI). However, despite this enthusiasm, many are confronted with the sobering realization that their data infrastructures are far from ready. Here’s why:
Bridging the gap between where enterprises stand today and where they aspire to be, Google Cloud offers the Data and AI Cloud for Supply Chain. Let’s delve deeper.
Google Cloud has created a robust environment that streamlines the entire data process. It starts with efficiently pulling in data using the Google Cloud Cortex Framework, transitions to enriching it for higher quality insights, moves to extracting those insights, and finally, ensures those insights reach the right stakeholders.
By addressing challenges like excess inventory and blind spots in the consumer journey, Google taps into the prowess of tools like BigQuery combined with the finesse of Machine Learning, AI, and Gen AI via Vertex AI.
For those who sit at the heart of the supply chain – demand planners, procurement officers, merchandise planners, logistics coordinators, and distribution managers – Google Cloud’s offering is a game-changer. No longer will they have to wade through outdated spreadsheets or make decisions based on stale data. With real-time insights at their fingertips, decisions are timely, accurate, and impactful.
The ultimate aim is to simplify insight access for business users while also giving data teams the robust tools they need to support them.
Before diving deep into Google Cloud’s “Data and AI Cloud for Supply Chain,” there are two critical components that must be in place:
Now, let’s talk about a tool that’s designed with these exact prerequisites in mind: Planning in a Box.
Planning in a Box is a decision intelligence platform tailored for supply chain complexities. As a data platform on Google Cloud, it integrates seamlessly with Google Cloud’s Data and AI tools. It uses the Google Cloud Cortex Framework to pull in data from business systems such as Salesforce, Oracle EBS, and SAP. With the added Gen AI layer, it delivers faster insights to address business challenges like excess inventory, optimizing marketing spend, and improving demand forecasting. Here are some of its features:
Real-time Visibility: A dashboard that tracks demand, procurement, manufacturing, and inventory. It provides real-time alerts and recommendations.
Comprehensive Analysis: Aggregate analysis capability across inventory, customer orders, marketing, finance, procurement, and vendor performance management.
Gen AI Platform: Enables users to ask questions in natural language and receive instant answers.
Intuitive Planning Tool: Spreadsheet-like tool for planners to slice, dice, and analyze data.
Insights and Recommendations: Offers actionable insights and business recommendations.
Unified Data Integration: Uses the Google Cloud Cortex Framework to integrate various data sets, such as sales metrics, customer behavior, and operational stats, providing a singular, strategic view.
Agile Data Ecosystem: Designed for real-time adjustments and reactions to changing market dynamics, providing real-time inventory visibility.
Holistic Data Integration: Champions a comprehensive data perspective, absorbing diverse datasets and synthesizing them into actionable insights.
Decision Intelligence Platform: Built on Google Cloud, combining domain knowledge of supply chain and tech expertise of Google Cloud tools like BigQuery and Vertex AI.
Solves Key Business Problems: Addresses demand forecasting, inventory visibility, customer experience, and marketing and sales challenges.
User-friendly Design: Intuitive interface designed for a range of user expertise, ensuring wide accessibility.
Strategic Recommendations: Provides advice aligned with overarching business objectives.
Begin with our hands-on workshop. At Pluto7, our expertise runs deep into Google Cloud, and our track record showcases real-world solutions for global companies like Levi’s, AbInBev, Ulta Beauty, and more. Most of these companies transitioned from identifying use cases to actual implementation in just 4 weeks or less. By joining our workshop, you’re not just saving time and money but also ensuring efficiency throughout your operations. Harness the full power of Gen AI, integrating it into every layer of your decision-making process. Reserve your place today.