Advanced Automated ML with Ensembling and Explainability
Make informed forecasting decisions with increased accuracy using automated machine learning models without ML expertise.
Multi-tenancy
Build SaaS applications with custom architectural models to meet regulatory and compliance requirements.
Event bridge notification - Lambda
Enable notifications and set up automated workflows through these notifications.
High system limits
Utilize large datasets to streamline your forecast journey.
Built in data sets
Easily include datasets such as weather and holidays into your forecast to account for sudden changes.
Use cases
Demand planning
Scale demand planning with highly accurate forecasts to manage inventory and increase customer satisfaction.
Business apps
Build end to end forecasting solutions for customers, and provide easy to use visualization tools that can help businesses meet demand.
BI tools
Provide quick insights to help customers make accurate demand forecasts, predict churn and revenue forecasts by leveraging historical data stored within your analytics tool.
Energy managements
Utilize built in weather data to predict customers' energy consumption and optimize capacity planning to prevent shortages and wasted energy.
Anaplan Inc. is a cloud-native enterprise SaaS company helping global enterprises orchestrate business performance. Leaders across industries rely on their platform to connect teams systems and insights from across their organizations to continuously adapt to change transform how they operate and reinvent value creation. Based in San Francisco Anaplan has over 20 offices globally 175 partners and approximately 1500 customers worldwide.
"Our high-impact partnership with Amazon Forecast lets customers weave predictive intelligence across use cases like demand management, financial forecasting, and workforce planning.”
"Our high-impact partnership with Amazon Forecast lets customers weave predictive intelligence across use cases like demand management, financial forecasting, and workforce planning. The enhanced forecast accuracy our PlanIQ solution delivers, which embeds Amazon Forecast, leads to greater intelligence-driven decisions, and its seamless integration within the Anaplan platform makes it easy to leverage different levels of information and data. Customers such as South Central Ambulance Services were up and running in only 2.5 weeks, using PlanIQ to deliver more-accurate weekly and six-week rolling forecasts. By helping them mitigate risk— particularly around spikes in patient demand—PlanIQ helps ensure they’ve got the right resources to deliver the best patient responses and outcomes."
Datup is a Demand Planning and Inventory Optimization SaaS platform for manufacturing and retail companies to transform data in time and capital savings. Datup solution allows its customers to integrate multiple sources, such as ERPs, spreadsheets and plain files in the cloud. Datup's AI-oriented technology in forecasting and inventory optimization allows our customers to increase their revenues improving service levels and release working capital avoiding overstocks.
"improve their service levels and fill rates over 92%, while releasing up to 20% of capital derived from overstocks and obsoletes"
"In Datup, we are committed to partner with our customers in the adoption path of emerging technologies for their supply chains, which could translate into operational efficiency and sustainability. Amazon Forecast has been an excellent match to our platform, in order to achieve accuracy, concurrency and agility. Our customers (self-service or high-touch), expect the *processing of hundreds to thousands of sku-locations, within few hours, to make on-time and best-informed decisions upon their operation plans. *The dynamic and accurate input into our inventory optimization feature, obtained from the forecasts, has helped our customers to *improve their service levels and fill rates over 92%, while releasing up to 20% of capital derived from overstocks and obsoletes.”
RetentionX is the plug-and-play analytics solution for any ecommerce store looking to make the best business decisions based on AI-driven data analytics. RetentionX translates your data into clear actions, replacing the power of an entire data science team with just one, easyto- use tool.
"We chose Amazon Forecast for the ease of integration and having the whole architecture at AWS. Amazon Forecast allowed us to scale from 5 to more than 200 individual forecast models in less than a week.”
"Our direct-to-consumer customers are looking for quick insights to manage their business operations and drive automated actions. We integrate with any ecommerce system, such as Shopify, and offer more than 100 data science-driven analytics such as demand forecasts, customer lifetime value, churn prediction, cohort analysis, and revenue forecasts. With one click, customers using RetentionX can generate custom machine learning based forecasts on the fly, powered by Amazon Forecast. We chose Amazon Forecast for the ease of integration and having the whole architecture at AWS. Amazon Forecast allowed us to scale from 5 to more than 200 individual forecast models in less than a week. As a software-asa- service solution with hundreds of predictive models, scalability and availability is a must.”
Remarkably is a marketing intelligence solution for U.S. multifamily real estate teams. The platform enables customers to stay on top of marketing and leasing performance issues, risks and opportunities so they can drive higher revenue, more efficiently, at lower cost, with better ROI.
“We leveraged Amazon Forecast for our product s KPI forecasts, with great results. The integration was relatively simple, fast and cost-effective, which allowed us to deliver a high-value, stable forecasts to customers on schedule and within budget.”
“Leading U.S. multifamily marketing teams use Remarkably to monitor and analyze their property marketing and leasing funnels, and their advertising channel performance and ROI. Our customers value historical data that indicates what’s happened, and KPI forecasts indicating what’s likely to happen, so they can take action to avoid risks and capitalize on opportunities. These two important data sets help our users optimize valuable marketing resources and avoid drops in occupancy and revenue. We leveraged Amazon Forecast for our product’s KPI forecasts, with great results. The integration was relatively simple, fast and cost-effective, which allowed us to deliver a high-value, stable forecasts to customers on schedule and within budget.”
Learn how to accurately forecast demand with Amazon Forecast
Companies today struggle to accurately forecast demand using existing tools that fail to combine historical time series data with relevant independent variables. Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine historical time series data with additional variables to build more accurate forecasts.
