Below is a small sampling of Infor customers; please contact us for more customer stories.
After deploying Infor Optiva, AkzoNobel reduced waste and gained efficiency with the global standardization and single sourcing of basic data, formulations, and processes, and improved the quality of product development.
A merged pharmaceutical company that deployed Infor Expense Management saw dramatic results in outstanding expense reports and receipts over 45 days old—a number decrease from 7,977 to 1,000, and a dollar amount decrease from $8 million to $1.4 million.
Caldrea, maker of aroma therapeutic cleaning products, sees Infor’s SyteLine as the solution to manage processes. The partnership with Infor provides the company with the “ability to change and personalize the software to integrate to those new business partners” and this is key to Caldrea’s business.
Evans Vanodine was established in1919 when William Charles Evans, at the age of 24, started manufacturing disinfectants and liquid soaps in Salford, Manchester, under the name ‘W.C.Evans & Co Ltd’. Despite severe war damage in 1940, the company continued to expand and relocated to Eccles, where it became known as ‘Evans of Eccles’ and began to consolidate its position in an increasingly competitive market.
Immucor, which manufactures blood reagents that test 35% of the world’s blood supply, was able to expand globally and handle the related growth in orders, inventory, and financial processing as well as deal effectively with multiple currencies, languages, and tax systems, all while maintaining costs, with help from Infor Baan.
Killing Tintas has recently migrated its ERP from Baan to LN and has experimented benefits since the upgrade in its financial processes with a better control of costs.
Química Amparo selected Infor Sales & Operations Planning to tie together the company’s operational plan and strategic business plan. By getting a holistic view of demand, supply, and finance, Química Amparo will be better able to drive profit and improve customer satisfaction.
Singapore Petroleum Company Limited (SPC), is a home-grown oil and gas company. Founded in 1969 as an independent petroleum refining and marketing company, SPC has recorded significant growth over the years. Today, SPC is a leading integrated oil and gas company listed on the Stock Exchange in Singapore. SPC has implemented Infor ION BI. "We don't have to spend a lot of time training users on a new system."
Using Infor Adage, the specialty coatings company gained visibility into data throughout the enterprise. With seamlessly integrated data, the company can more efficiently manage its complex production process, understand how to improve manufacturing efficiency, see its inventory value and profitability for each product, and improve its costing methods.
Using Infor EAM, the pharmaceuticals manufacturer has gained major business benefits. The company now easily complies with strict government regulations, and it has streamlined its processes through much improved data visibility and access. Technician productivity and better use of technician time for planned work versus reactive response have also jumped significantly. The “visual factory” screen showing work order status has also resulted in big process improvements, including providing instant updates on parts used versus waiting for month-end restock invoices, and allowing better usage of parts by technicians and engineers.
Yara International ASA is a global firm specializing in agriculture products and environmental protection agents. As the world's largest supplier of mineral fertilizer with sales in more than 120 countries, Yara faced extraordinary supply chain management challenges. Yara International implemented Infor Demand Planning and Infor Advanced Planning as the cornerstone of its centralized sourcing strategy. Yara is using Infor Advanced Planning to analyze all production capacities, stock levels, and raw material sourcing options across the enterprise. The company is using Infor Demand Planning to significantly improve its insights into demand and do more sophisticated statistical forecasting.