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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Runn
Runn is a real-time resource management platform with integrated time tracking and powerful forecasting capabilities.
Intuitively plan projects and schedule resources with allocations, project phases, milestones, and time off. Flick between monthly, quarterly and half-yearly views to plan for the short and long term. Get a dynamic bird’s-eye view of your entire organization to manage capacity, workload and availability changes as you create your plans.
Runn makes resource management dynamic and visual from a single, shared view. Drill into different roles, teams and tags to compare trends and understand which groups are overbooked. Plan out tentative projects to see how plans might change if work gets confirmed.
Track projects, view forecasts, and get relevant metrics within Runn. Get insights like utilization, project variance, and overall financial performance. Use Runn’s built-in timesheets to monitor project progress.
Runn integrates with Harvest, WorkflowMax, and Clockify. With the API, build your own integrations to connect Runn with your favorite tools.
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Clari
A Revenue Operations Platform that increases revenue results. Automated CRM updates Check. Time series analysis? Check. Clari offers more than just innovative features. Clari solves the real problem by combining revenue intelligence, forecasting, and execution insights. It is efficient and predictable in hitting your targets every quarter. Clari's Revenue Operations Platform is purpose-built to increase revenue predictability. It takes previously untapped data, such as call logs, CRM, email, and CRM, and turns it into execution insights that you can use for your entire revenue team. Clari combines AI insights with human intuition to enable your team to forecast with greater accuracy and foresight. It uses a consistent, automated process that can be used to manage all businesses in your company. You can collect valuable activity data from prospects, customers, and reps so you are always up to date on what's happening in your deals, in your business, and with your team.
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Amazon Forecast
Amazon Forecast is an entirely managed service that employs machine learning techniques to provide exceptionally precise predictions. In the contemporary business landscape, organizations utilize a range of tools, from basic spreadsheets to intricate financial planning applications, in their quest to accurately project future outcomes such as product demand, resource allocation, and overall financial results. These forecasting tools generate predictions by analyzing historical data known as time series data. For instance, they might estimate future demand for raincoats based solely on past sales figures, operating under the premise that future performance will mirror historical trends. However, this methodology can falter when tasked with managing extensive datasets that exhibit irregular patterns. Moreover, it often struggles to seamlessly integrate evolving data streams—like pricing, discounts, web traffic, and workforce numbers—with pertinent independent variables, such as product specifications and retail locations. As a result, businesses seeking reliable forecasts may find themselves facing significant challenges in adapting to the complexities of their data.
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