Flowlens
Built by a small business for small businesses, Flowlens delivers end-to-end business management software designed specifically to meet the needs of SME manufacturers. Use Flowlens to support your growth as you add customers, suppliers, stock and scale to your manufacturing business, From purchasing to sales to stock management, production and quality control, Flowlens integrates seamlessly with cloud accounting applications, ends data entry duplication and empowers you with full supply chain visibility across your manufacturing business.
Optimise productivity. Whether you’re looking to replace paper and Excel based processes or older legacy systems, implementing Flowlens provides you with a proven pathway to boosting profitability and establishing data integration across your business functions.
Deliver financial visibility across your supply chain. Connect Flowlens with your accounting applications, and you’ll remove data double entry between functions and establish full online reporting visibility across all your operations.
Enhance stock control. Pinpoint your near and long term materials requirements through Flowlens capacity planning and multi-level BOM management.
Drive supplier management. Move your supplier management processes online with Flowlens. Simplify and streamline supplier negotiations and maximise your cost and quality position through Flowlens RFQ management functionality.
Engage online with your customers and secure more business. Use Flowlens CRM functionality to ensure you remain ahead of the competition when engaging with your customers. Miss nothing and follow up on all sales opportunities in real time.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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ServiceManager
ServiceManager is a cloud-based service management platform that can be configured for any business that manages after-sales service or repair of products in any industry. It offers a flexible workflow management system and powerful reporting tools. ServiceManager can be used as a point solution, or to support end-to–end returns, service, and repair. The platform allows seamless workflow and reporting across all service organizations.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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