ORS products are 4.0 applications built on our data science expertise and proprietary technology. They fully integrate with your legacy systems while enabling you to drive impactful business transformation across your value chain.
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Using ORS RETa.i.LTM Platform, we are able to create a highly sensitive and responsive digital supply chain to manage inventories in real-time and to optimize operations end-to-end. Buy Anything, Get Anywhere 4.0 (BAGA) is a disruptive solution for automated omnichannel fulfilment to help us build superior customer experiences and avoid lost sales.
Gianluca Tanzi, COO
Brooks Brothers Corporation New York, USA
We cooperated with ORS in a supply chain project for a global company in the field of food and food safety. ORS’ demand planning solution was the perfect match for the ambitious requirements of our client.
Chong-Ho Hwang, Senior Manager
Kerkhoff Consulting Düsseldorf, Germany
As a reliable financial services provider to bespoke clients, we were looking to help our customers with detailed analytical reports on their portfolio. ORS solutions are ideal for bringing analytics, intelligence, and algorithmic decision automation to help our clients create risk-mitigated high-growth portfolios.
Paolo Filippini, CEO
Patrimony 1873 Lugano, Switzerland
ORS CryptoHound is a unique blockchain-agnostic, AI-driven analytics platform that can help traders, compliance departments, ICO projects and crypto enthusiasts create real-time, transparent financial reporting of cryptocurrency trading.
Dr. Ingo Fiedler
University Hamburg Germany
Leverage AI, Machine Learning, and enterprise Big Data to maximize profits, optimize inventory, and transform your operations using these ORS solutions specifically designed for the retail sector:
Leverage AI and ﬁnancial portfolio algorithms to optimize your purchasing and working capital.
Buy Anything, Get Anywhere (BAGA) combines big data and smart algorithms to deliver a revolutionary omni-channel purchasing solution.
Sense, shape, and serve demand in real time, across locations, and for multiple product categories that could be interrelated in the production supply chain.
Balance supply and demand by optimizing reserved product levels according to priority, shipping coverage, and reserve coverage strategy.
Make intelligent decisions to optimize capacity and ensure that current inventory satisfies current demand.
Bring together disparate silos of enterprise data and external data in the retail world using an integrated data ecosystem. ORS Retail Analytics 4.0(BDRA) delivers multiple solutions for retailers.
Increase your margins across demand cycles with analytical insights that help you perfectly balance price and demand.
Measure the impact of promotion investments and enhance results across your marketing strategy.
Enable qualitative performance comparison across retails stores, locations and seasons.
Transform store operations and drive increased performance across your retail business.
Study patterns, gain deeper insights, and build test scenarios at rapid speed by leveraging neural networks.
Reduce costs and optimize financial processes in real time using AI, ML, and Automated Algorithmic Decision-making using our bespoke technology solutions for the finance sector:
Transform banking node operations from legacy to real-time, dynamic assets of performance.
Simplify blockchain research and analysis using an investigative tool with easily configurable widgets.
Just a few of the organizations we have partnered with to drive transformation, optimize processes, and reduce operational costs.
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Founded in Italy, with global operations in Europe and in the USA, ORS GROUP companies offers cross-industry solutions for optimizing and automating business processes using proprietary A.I., Machine Learning and Big Data Analytics algorithms.
Smart algorithms are behind the Artiﬁcial Intelligence (AI), Machine Learning (ML), and Automated Algorithmic Decision-making (AAD) platforms that are enabling enterprises to push the envelope of business optimization and disruptive transformation.