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Industrial AI Solution Catalog

Explore 500+ ready-to-go AI solutions (with more to come) across diverse use cases, and find the perfect fit for your project.

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Use Cases

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Sales Forecasting

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InsightSquared's Guided Selling platform is designed to optimize the revenue process and boost sales performance with AI-enabled insights. The platform provides a dynamic automated assistant that offers timely recommendations at every stage of the customer journey. It comes with an Actions Engine, which includes over 120 pre-configured actions or allows customized actions to enhance efficiency. The tool also facilitates real-time coaching to drive specific deals forward and promotes a data-driven approach to make the best use of each rep's time. Allowing customization based on user, role, opportunity type, stage, region, and more can ensure every deal gets personal attention.

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InsightSquared's Advanced Sales Math assesses the sales pipeline by going beyond conversion rates to unlock more data and formulate winning strategies. It aligns sales activities with crucial data points such as deal attributions, progression timelines, sales cadences, and historic win rates, providing a comprehensive picture of the sales process. Using machine learning, this tool identifies inflection points where deals are won or lost, and fine tunes sales cycles based on these insights. Furthermore, it generates real-time calculations to reveal what winning looks like for the organization and helps reproduce such wins efficiently.

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Placer.ai is a specialized solution benefiting CPG (Consumer Packaged Goods) and DTC (Direct-to-Consumer) companies through data-driven offline decisions. It offers a detailed understanding of the audience, offline performance, and the correlation between online impact and offline results to offer augmented business prospects. From aiding in property and retailer performance through accurate foot traffic accounts and dwell time analysis to making strategic decisions based on consumer demographics and shopping behavior, Placer.ai avails a comprehensive view of a customer's path to purchase.

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CommodityWatch AI is an advanced solution from Resilinc, leveraging machine learning and historical data for precise commodity price fluctuation predictions and supply constraints. The platform scans over 4.2 million sources across 100 languages, pinpointing supply and demand trends as well as regulatory measures affecting pricing. It tracks influential factors and forecasts commodity behavior up to 90 days ahead. The solution delivers actionable insights for demand planning with a recommended purchasing action plan. It caters to raw materials, gases, rare earth minerals, metals, and more across 25+ vertical industries.

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Shelf Engine uses intelligent forecasting and advanced machine learning models to simplify how retailers manage orders for perishable products. Instead of using traditional software systems, Shelf Engine focuses on producing actionable results, aiming to enhance sales and margins, while reducing waste and labor efforts. The platform's key components include automated ordering, creating accurate orders by considering profit maximization to reduce out-of-stocks and shrink, and forecasting, generating probabilistic models for each unique SKU for every store daily, based on an array of data sets.

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The Zeta Marketing Platform is an integrated system designed to drive growth and enhance customer experiences throughout their lifecycle. This all-in-one platform is heavily reliant on data and identity to target marketing ROI. It enables businesses to recognize their best customers and prospects across channels and devices and respond to consumer intent instantaneously. Its capabilities include balancing scalability and specificity, delivering individualized experiences, and making complex analytics actionable in real time. It wraps around and boosts your existing tech stack, providing efficient performance increase and potential cost reduction.

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Zeta Agile Intelligence is an innovative system that combines data and Artificial Intelligence (AI) to provide critical customer intelligence. Its primary objective is to answer complex business questions rapidly and on a large scale. By converting data and insights into actionable intelligence, it aids marketers in making real-time decisions. This solution offers a dynamic blend of scalability, actionability, flexibility, and speed. It integrates seamlessly with existing tech stacks, delivering quick, accurate decisions and shortening the value delivery time.

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