Sphera operates in the field of Enterprise Sustainability Management (ESM) and risk management. It offers software, data, and consulting services centered on Environment, Health, Safety & Sustainability (EHS&S), Operational Risk Management (ORM), Product Stewardship, and Supply Chain Transparency. With a legacy spanning over three decades, Sphera aims to optimize workflows and assist in navigating complex and dynamic global regulatory structures. Its mission is to contribute to safety measures, sustainable products, and productive operations.
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The mapping system has been a standout feature for us, allowing us more visibility for our business. Identifying new suppliers and carriers has been the most streamlined it has ever been for us. Risk mitigation has also been useful. We are able to see where problems might be arising before they happen and it has allowed our team to get ahead of things before they get out of control. The AI features of the platform surprised us, we have struggled getting AI to work for us in the past, but Sphera's AI summarizes the risk factors giving us the insights we need to make the most informed decisions.
The fact that it can account for companies further down the supply chain, not just those we buy from directly. Everything is tracked in one place, saving us from having to do the research ourselves. Allows us to provide clear evidence to management.
its risks signals into a single supplier view which is helpful to reduce the need of manually tracking
The data it provides is great, but you only get out as much as you put in. We have been in business a while so we have a lot to offer, but if you have incomplete data your mileage may vary. There is a lot to take in when you are first learning the system. There are a few people in the business who have been able to learn the software fast and use it at its full capabilities, but there are also a few people who are still training to gain an understanding of how everything works. Some of the risks that the system gave were not always true risks, at least in our opinion. With that in mind it is important to check the AI reports carefully to make sure you make the best choice.
Occasionally, despite things looking OK on the dashboard, problems still arise, so you can't rely 100% on the software. Setup can be difficult and time consuming. The tool is only as good as the data it gets, so it is vital that vendors share their data accurately.
if supplier data is incorrect or incomplete the system insights lose accuracy
