Hapag Lloyd: A Smooth Automation Upgrade to SS&C Blue Prism v7.2
Manufacturers are facing supply chain bottlenecks. They’re challenged with high demand, leaving little time for planning and forecasting, much less growth. To reduce waste and repetitive manual work, manufacturers should consider optimizing their inventory management with intelligent automation (IA).
IA deploys digital workers to perform step-by-step tasks and reduces workflow complexity. It does this by combining artificial intelligence (AI) with robotic process automation (RPA) and business process management (BPM). Think of your IA digital workers as assistants, helping streamline your business processes.
Let’s see how we can directly apply this digital technology to inventory management.
People say, ‘less is more’, and that’s especially true for inventory management. IA enables manufacturers to reduce their focus on inventory management so they can apply their resources to R&D and demand generation.
Before automation, employees would need to manually execute transactions in their ERP system. By applying IA, digital workers now turn off old products and execute new product transactions without requiring human intervention.
Even if you have legacy systems and vast inventory data, IA can help. It deploys digital workers to track inventory and identify appropriate stock levels by combining standard factors, such as warehousing trends and historical demand, with less obvious markers, such as weather forecasts.
Digital workers can also make supply decisions by examining inventory turnover, latency and costs, then calculating the optimal lead time for individual components – while accounting for warehouse space.
Tracking inventory manually requires employees to spend a lot of time analyzing reams of data, and that time-consuming, tedious work can often lead to unwanted errors and rework. Pen and paper spreadsheets are a thing of the past. Employees need a better way to work, lest you have inaccurate inventory counts, lost sales and wasted time and effort.
It’s good to incorporate best practices in the initial planning stages and development of your automated processes. Identify which processes are the best first candidates for automation. Automated process discovery methods such as task and process mining can help you analyze your as-is processes and determine if there are any bottlenecks or areas of improvement.
Global confectionery saves over $7M by catching product labeling exceptions
High volume at distribution centers caused labeling errors that caused undelivered products to be deeply discounted or destroyed. Digital workers were able to catch product labeling exceptions faster saving $7M in lost profits annually.
"I challenge everybody, if you are looking at processes to develop, keep an open mind, be creative and use your imagination.”
Martin Rupert, Head of Business Process Automation, The Hershey Company
Each step of the inventory management process, when done manually, is prone to human errors, slowdowns and inefficiencies. Here’s how IA digital workers can help in each step:
With IA, manufacturers can be assured their shipments are on time, and they can improve governance and end-to-end visibility, optimizing their customer’s journey even through periods of disruption.
Choosing the right management system is just as important as deciding which processes you’ll automate. Let’s look at some examples of automated inventory management:
Keeping up with customers and maintaining operational efficiency is an ongoing challenge for transportation and logistics providers. Luckily, IA can help them transform customer journeys, optimize freight management and convert data into insights. Here’s how IA works:
Read the case study to find out how intelligent automation helped Waitrose meet and exceed store inventory demands.
Manufacturing automation helps address shifting market dynamics, skills shortages and new competitors. With rapidly changing tax regimes, evolving government policies, international trade wars and raw material scarcities, it’s imperative manufacturers embrace RPA, IA and AI as the foundation of their digital transformation efforts. Here’s how IA works:
Read the case study to find out how one manufacturer reduced inventory management efforts by 35% with RPA.
There is a lot of IA software out there, so make sure you select one that fits your business goals, infrastructure requirements and scalability efforts. Here are some features you may want to automate:
Once initial parameters are defined, digital workers become self-sustaining, managing the stock flow for you automatically. And since they work 24/7 with 100% accuracy, they can optimize the entire process: creating orders, alerting team members of shortages and finding alternative suppliers when fulfillment is poor.
Here's what you get with automated inventory management:
IA realizes inventory savings by:
IA can eliminate in-process waste by:
IA reduces landfill waste by:
IA increases total cost savings by:
Inventory management doesn’t have to be complicated – or wasteful. By integrating intelligent automation into your inventory processes, you can optimize your supply chain and see direct, cost-saving results. Inventory automation increases accuracy, reduces waste and connects systems for easier scalability.
Automation is the path forward for manufacturers. It helps you maintain robust operations and extend your capabilities by freeing up human and cash resources. Reduce the time-consuming, repetitive tasks and find out how intelligent automation is the future.
Contact SS&C Blue Prism to learn more and read our e-book on how to optimize your supply chain.
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