Logility Inc., a leading supplier of collaborative solutions to optimize the supply chain, today announced Peninsula Beverage Company (PenBev), one of South Africa’s bottlers and distributors of Coca-Cola products, has achieved impressive results following its implementation of Logility Voyager Solutions™. Through the use of Logility’s advanced
supply chain management software
, the company has increased forecast accuracy by 20 percent at the item/plant level and is able to utilize the enhanced visibility and more accurate data to strengthen its sales and operations planning (S&OP) process.
As a company which relies on exceptional customer service as a catalyst for growth, PenBev realized it needed to better forecast demand and align its commercial, sales, and distribution teams with these forecasts. Since deploying Logility Voyager Solutions PenBev has centralized its demand planning, improved service levels and reduced inventory by 25 percent while increasing on-time, in-full order fill rates from 94 percent to 99 percent.
“The supply chain is our backbone and is essential in our ability to meet the growing demands for Coca-Cola products across the Western and Northern Cape,” said Andre Cloete, supply chain director, PenBev. “The past supply chain processes hindered our ability to cost-effectively scale operations. Since implementing Logility Voyager Solutions we have seen a significant improvement in forecast accuracy, the ability to classify and prioritize A, B and C items, and an increase in service levels. With these improvements we are now able to focus on improving our collaboration to share forecasts across a broader business group.”
Voyager Solutions enables companies like PenBev to quickly generate and track forecasts for multiple business needs, including sales, marketing, logistics, and financials, to produce an accurate picture of the market and its impact on operations. The solution helps improve margins by keeping detailed product forecasts aligned with high-level business plans. Additionally users are automatically alerted to changes in the market through exception management and can readjust the forecast ahead of changes in demand.