Proposify
Proposify is the online proposal software that gives you control and visibility into the most important stage of your sales process. The close. From deal design to sign-off, get the confidence and flexibility to dominate deals.
Create impressive sales documents that stay consistent and error-free.
Receive the insights to scale your process, make timely engagements, and accurately forecast.
Deliver a seamless sign-off experience for your customers and prospects.
Features include a flexible and user-friendly design editor, electronic signatures, CRM integrations, data-driven insights, interactive pricing, content management, approvals, and so much more.
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Aily
Aily Labs delivers a mobile-first decision-intelligence platform that empowers businesses with real-time AI insights and predictive analytics across their entire organization. The product breaks down data silos by connecting company-wide information through its Correlator engine, embedding advanced AI and machine-learning models to forecast outcomes, simulate scenarios, optimize decisions, and surface actionable insights to frontline users. With one-day integration and pre-built enterprise workflows, the platform enables teams to transform how they think and work, making data everyone’s business, reducing decision bias, and enabling faster, smarter actions. It supports forecasting, simulations, and optimization for supply-chain, finance, operations, and other functions, delivering 360° visibility and decision intelligence in the palm of your hand. Available as an app, the solution is designed to shift organizations from passive analytics to active decision-driven workflows.
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Amazon Forecast
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Companies today use everything from simple spreadsheets to complex financial planning software to attempt to accurately forecast future business outcomes such as product demand, resource needs, or financial performance. These tools build forecasts by looking at a historical series of data, which is called time series data. For example, such tools may try to predict the future sales of a raincoat by looking only at its previous sales data with the underlying assumption that the future is determined by the past. This approach can struggle to produce accurate forecasts for large sets of data that have irregular trends. Also, it fails to easily combine data series that change over time (such as price, discounts, web traffic, and number of employees) with relevant independent variables like product features and store locations.
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Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.
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