Ubeya
Flexible work is on the rise. The ultimate OS for temp work. Offering an end-to-end solution for staffing/recruitment agencies, stadium event management and Businesses employing temp workers.
Ubeya has developed a SaaS B2B platform that brings the tech revolution to the world of temporary jobs.
Ubeya connects businesses that manage flexible workers, and allows them to manage, outsource, rate and pay their entire workforce. It bridges the gap between staffing firms, businesses and shift workers by automating and optimizing work processes, scheduling, communication, payroll and compliance.
With Ubeya’s technology, workers finally feel the belongingness to the company they work for. This boosts their connection to the business and makes them more accountable in every task they tackle.
Ubeya platform unifies scattered communication channels, increases workers’ retention, and reduces no show rate, to reshape flexible work experience.
Ubeya’s platform helps hundreds of businesses worldwide become more resilient and adaptive to change, resulting in growth, operational excellence and happy workforces.
Ever wondered how a huge operation like the O2 Arena stadium manages their work? Ubeya provides everything they need.
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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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Trendalyze
Time-sensitive decisions require immediate attention. With TRND, machine learning projects can be accelerated from lengthy timelines to mere minutes, similar to the efficiency of Google's AI search engine that delivers insights in real time. Financial losses can stem from inaccuracies, and unlike standard KPIs, TRND identifies patterns that uncover critical information hidden from traditional metrics. This tool empowers decision-makers by highlighting trends that signal emerging threats or opportunities. In today's digital landscape, knowledge equates to financial advantage. TRND allows for the creation of shareable pattern libraries, promoting rapid learning and implementation for enhancing business operations. Without comprehensive monitoring, potential profits remain untapped. TRND excels at not only identifying rare insights but also continuously tracking relevant information across all indicators. The myth that scaling efforts must be excessively costly is shattered by our innovative search-based method, which makes extensive micro-monitoring both feasible and economical. In essence, TRND revolutionizes the approach to data utilization, ensuring that businesses stay ahead in a competitive environment.
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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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