SKU Science
SKU Science delivers a fast and intuitive solution for sales forecasting and performance tracking. Implement your demand planning process in as little as two days! Created by seasoned experts, it’s specifically designed for operations managers, S&OP managers, supply chain professionals, and demand planners. With 644 statistical combinations, the platform generates highly accurate and tailored sales forecasts at any level. For even greater precision, AI models can be trained on your unique dataset. Automatically calculated KPIs highlight the most critical items, helping you focus on what matters most for your supply chain and business success. The platform’s operational dashboards refresh every cycle, ensuring efficient activity monitoring and data-driven decision-making. Combining advanced capabilities with ease of use, SKU Science is trusted by clients across manufacturing, food and beverage, healthcare, retail, and e-commerce sectors.
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Assembled
Assembled combines AI agents with advanced workforce management to give support teams the speed, flexibility, and control they need to excel. Our platform streamlines staffing for both in-house and outsourced teams, delivers forecasts with over 90% accuracy, and automates more than half of customer conversations. Whether it’s chat, email, or voice, Assembled orchestrates every interaction, allocating work between AI and human agents in real time. Leading brands like Stripe, Canva, and Robinhood rely on Assembled to boost performance and turn support into a growth driver. Key capabilities include scheduling, forecasting, live performance monitoring, vendor management, AI-powered chat, voice, and email agents, plus an AI Copilot that provides instant guidance, suggested responses, and rapid action tools for agents.
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Xweather
Xweather serves as a robust weather intelligence platform, offering precise and localized weather, environmental, and climate information through advanced APIs, toolkits, and software solutions tailored for developers and enterprises. Its Weather API enables RESTful access to a variety of data, including current conditions, forecasts, historical records, severe weather notifications, lightning activity, hail information, road conditions, and impact-based insights, all presented with high resolution and global reach, supported by continuously improving machine learning models for enhanced accuracy. Additionally, the platform provides SDKs and developer toolkits for iOS, Android, Python, and web applications, simplifying the process of incorporating weather data, interactive maps, and dynamic imagery into bespoke applications. Furthermore, Xweather Insight acts as a centralized weather confidence platform, consolidating measurements, forecasts, and alerts, thereby empowering organizations to streamline their daily operations, bolster preparedness against severe weather events, and promote safety, efficiency, and sustainability in their activities. Ultimately, Xweather's comprehensive solutions cater to the diverse needs of users seeking reliable weather information to inform their decision-making processes.
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Frogcast
Frogcast is a cutting-edge global weather forecasting API that provides extremely precise and localized weather predictions by integrating over 20 advanced numerical weather prediction models with state-of-the-art artificial intelligence and diverse geospatial data from top-tier organizations such as ECMWF and NOAA, alongside earth observation data and ground-level measurements, to aid crucial decision-making in fields like agriculture, construction, logistics, retail, insurance, environment, transport, and health. Its RESTful API grants access to an impressive array of more than 26 meteorological variables, offering forecasts that extend up to 15 days into the future, along with probabilistic forecasts that include confidence intervals and quantiles for enhanced understanding, all while delivering high spatial resolution down to 1 km and detailed topographic information at 90 m for focused targeting of specific areas. The Frogcast platform is designed for effortless integration into current systems and applications via intuitive API endpoints utilizing standard web protocols and JSON data formats, which facilitates both real-time and historical weather data analysis for trend identification and decision support. Additionally, the flexibility of the API allows for customization based on user needs, enhancing the overall user experience and effectiveness of the weather data provided.
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