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Supply chain analytics refers to the process of collecting, analyzing, and visualizing data across the end-to-end supply chain to improve operational efficiency, mitigate risk, and make faster, data-driven decisions. This includes data from sourcing, procurement, inventory, manufacturing, logistics, fulfillment, and demand planning systems.

A supply chain analytics platform typically combines scalable data infrastructure, a layer that processes data through unique business logic or ML models, and a front-end experience where users can explore analytics via dashboards, reports, and visualizations.

Modern supply chain analytics go beyond static reports or dashboards. They bring together data from ERP, WMS, TMS, supplier portals, and other logistics partner platforms to provide real-time, actionable insights across every function and location. They’re built to empower data teams and business users, with the option to explore supply chain insights in a self-service environment that doesn’t require knowledge of SQL or a background in data analysis.

Supply chain analytics are critical because they derive insights from and streamline complex, interdependent operations. Manufacturers, wholesalers, suppliers, retailers—all of the companies and stakeholders in a global supply chain have their own data and workflows that contribute to the movement of goods from the point of origin to the destination.

To meet customer demand and adapt to changing regulations, supply, and capacity, companies need real-time visibility into supply chain operations. They also must be agile enough to act fast when supply chain disruptions occur. Modern, AI-powered supply chain analytics make it possible to put automatic contingency plans in place, make split-second decisions to reroute a shipment or replace a supplier, and optimize the entire supply chain for fast, accurate fulfillment at any scale.

Supply chain analytics platforms also drive more proactive interactions with suppliers and customers. Supply chain leaders can use AI insights and automation to send alerts when a shipment is on the way, a supplier is in danger of missing an important milestone, or any other event that’s relevant to their logistics network.

Supply chain, logistics, and manufacturing professionals today favor analytics platforms that can generate the most value for their business by automating manual workflows, eliminating inefficiencies, and increasing margins, revenue, and profitability.

Unlike traditional solutions, modern supply chain analytics software make it easier to consolidate supply chain data from every partner and system, then use it in advanced AI models and business applications to improve decision-making. The most popular platforms come with ready-to-use integrations and APIs that connect ERP, TMS, WMS, and logistics partner solutions, creating a single source of supply chain truth for everyone to work from.

Another key feature is self-service analytics, or tools that allow business users to get answers from their data without relying on analysts. This lightens the burden on the data team while allowing stakeholders to get the answers they need in minutes.

One of the most recent transformations in supply chain is the use of agentic AI. Agentic AI uses advanced machine learning and LLMs to automate the complexity of query-based analysis, instead letting users ask questions of their data in natural language. In practice this can look like a simple Google search, a conversation with a chatbot, or clicking into a chart to explore information like customer behavior or sales data in different ways.

Today’s best supply chain analytics tools increase supply chain visibility and performance by replacing static dashboards and standard data analytics capabilities with advanced analytics and dynamic, personalized data visualizations. By allowing users to explore real-time insights in the way that works best for them, these modern platforms make it possible for companies to achieve new levels of supply chain excellence and a competitive customer experience without overburdening the engineering and data teams.

ThoughtSpot combines the most powerful AI capabilities with the most intuitive ways to explore supply chain data. Data teams use the platform to unify data across many channels and enterprise systems, building analytics solutions for their internal stakeholders they can explore without any analyst skills.

These stakeholders include business users throughout every stage of the supply chain, from R&D and product development teams to manufacturing leaders to downstream wholesalers and retailers. Each of them use self-serve analysis and AI-augmented workflows to quickly get answers and take action on their most relevant metrics without waiting for the help of busy engineers and analysts.

For retailers, this may mean gaining visibility into inventory levels and reducing stockouts. At the supplier and factory level, it may mean reducing lead times and improving operational efficiency. For product development and strategy teams, it means optimizing pricing and finding upstream cost savings.

For leadership teams, AI analytics provide a holistic view of supply chain performance and eliminate the silos that have hindered productivity for years.

ThoughtSpot gives everyone involved in the global supply chain the ability to rapidly adapt to changing conditions, optimize spend and performance across many suppliers and partners, and fulfill customer orders accurately and on time. The platform transforms supply chain planning with AI, using real-time data from systems across the entire supply chain network—from transportation management systems to ERP solutions to inventory management platforms and more—to power predictive analytics that optimize operations and lead to better decisions at scale.

ThoughtSpot can connect to multiple streaming and event-based data sources to help you make financial decisions based on live market data.

ThoughtSpot Team Edition is available at a flat $95 monthly subscription. You can easily sign up from our Free Trial and pay using a credit card. Once you subscribe, you will be billed $95/month until you cancel.

For other product editions, ThoughtSpot uses a consumption-based pricing model that lets you pay for what you use. Your annual contract consists of a base package that includes a set of credits that lets you execute a certain number of queries against a data source. You can purchase additional credits as part of your contract if you need more.

No. Unlike other products, our pricing model uniquely lets an unlimited number of users access ThoughtSpot.

You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.

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