AB InBev Improves CSAT by 40% and Innovates Order Error Process
In today's manufacturing environment, intelligent automation is boosting productivity and supporting new operating models while reducing costs and elevating the customer experience. Digital workers deliver digital supply chain optimization for better, more efficient end-to-end manufacturing processes.
We understand the importance of optimization, and SS&C Blue Prism is set to enable manufacturers like you to transform your operations. Utilize the resources you have on hand in the best possible way, root out errors and slowdowns, and boost productivity through the ever-expanding capabilities of automation.
Manufacturers face pressure from rapidly changing tax regimes, evolving government policies, international trade wars and scarcer raw materials, all of which are further complicated by significant skills shortages, growing cyber threats and evolving customer needs. To survive these challenges, manufacturers want to reduce costs, increase productivity and embrace better ways of working.
Transforming the customer experience
Meet customer demand with a personalized digital experience. IA responds to real-time demand by reallocating specialist resources. Get optimal resource ramp-up/-down to meet customer demands, ensuring you produce the products they want.
Creating the future operating model
Create a competitive model free of repetitive tasks. IA enables manufacturers to allocate resources to R&D or demand generation. Increase productivity, reduce costs and waste, and free your employees from menial tasks with an automated supply chain.
Adapting to regulatory changes
Get agility and security with IA. Intelligent digital workers audit every action to create detailed logs in a centralized platform, giving you better oversight. IA’s scope encompasses changes in international trade, government policy, regulation and compliance.
Ensuring financial sustainability
Reduce operating costs and increase your organization’s competitiveness with a future-thinking, agile way of working. IA increases output while reducing or maintaining the cost base. Free employees for higher-value tasks like supplier negotiations or customer upsells.
Managing complex supply chains
Complex supply chains include global sourcing, production lines and distribution. Increase fill rates and decrease cycle times with real-time data for inventory turnover, latency and costs. Calculate lead time for individual components for optimized production schedules.
Better forecasting and planning
IA allows you to respond quickly to adverse events, such as short-term loss of supply requiring rapid provider diversification. Digital workers can replan the manufacturing schedule, such as shifting maintenance windows, to cope effortlessly with unpredictability and come out ahead of the competition.
Modern manufacturing that’s powered by intelligent automation systems eliminates data siloes and manual processes, creating a unified data lake/process mining area to gain key insights. This intelligent automation system enables seamless integration, accurate updates across systems, standardized data flow and faster processing as it removes the risk of order mistakes, duplications via human errors and frees labor from time-consuming tasks.
The number of effective IA/RPA use cases in manufacturing will continue to expand across manufacturing companies from the automotive industry to textiles, food and beverages and more.
Inventory management automation allows you to automatically check inventory levels against actual stock and generate purchase orders to suppliers, speeding up the process and preventing delays.
Provide on-demand quotes automatically, minimizing delay and improving customer experience.
Utilize logistics management automation to build efficiency, accuracy and speed into your logistics and supply chain management and operations.
Manufacturers can improve customer experience with more efficient order and invoice processing, responsive customer service and enhanced quality assurance. IA enables organizations to derive greater insights from their customer data and adapt to evolving customer preferences more quickly, such as personalized product style recommendations.
Facilitate self-service for customer account changes or streamline customer service data input across multiple systems through intelligent automation.
Automate production processes to track parts, components, products and even physical robots throughout the production cycle, improving visibility and customer experience.
Automate customer order management processes to minimize the time from order to acknowledgment to completion.
Automatically record part identification and defect codification across relevant systems, investigate warranty claims and notify component suppliers about incidents. Update customers appropriately and reduce time to resolution.
Reacting quickly and complying with regulatory changes across multiple geographies can be difficult. A digital workforce can improve response times against existing regulatory service level agreements (SLAs), help you respond to new regulations faster and help you understand the impact of changes on operational costs.
Digital workers can collect data and build reports to demonstrate regulatory performance and SLAs adherence, reducing manual data entry.
Ensure audit compliance by automating internal reviews to proactively identify potential issues.
Automate the measurement of pre- and post-regulation impact on operational costs.
Automate new regulatory processes from the start by using a digital workforce. Reduce the cost, time and effort of training your human workforce and the risk of human error while increasing execution speed.
Improve cyber security through robust IT management and policy controls.
Automatically report, archive or remove data in inappropriate locations or has exceeded acceptable date ranges.
Audit and remove unauthorized or unused applications from user desktops.
Check, report and renew the status of anti-virus and certificate checks across the whole IT estate to reduce the risk of exposure.
Remove employee access to both systems and facilities and confirm completion with the appropriate teams.
Simplifying and automating order management enables manufacturers to streamline internal processes. This ensures the right data feeds into operational systems, such as digital supply chains and demand forecasting.
Using intelligent automation, manufacturers can develop a near real-time overview of order progress on the factory floor and the ongoing need for components or raw materials. This helps manufacturers to adopt lean manufacturing methodologies that maximize and optimize scarce resources and keep margins low.
Manufacturers can train digital workers to seek out relevant data as part of a parallel process that is both speedy and accurate. This reduces the manual effort required to gather information and carry out compliance checks to onboard suppliers.
Maintaining an accurate bill of materials (BOM) is critical for manufacturers. Using intelligent automation, manufacturers can accurately extract product data and replicate the human steps required to generate an error-free BOM in a shorter timeframe.
IA streamlines the process of updating and revising the BOM, ensuring that all changes are implemented consistently.
IA integrates with supply chain systems, allowing manufacturers to receive real-time updates on the availability and pricing of materials. This helps in making informed decisions and optimizing the procurement process.
IA can support the quality assurance process, checking thousands of components in real time and identifying potential flaws far more accurately than humans with less impact on volume. It also works with complete auditability and traceability for full visibility into how your processes are running.
IA systems perform automated inspections to improve product quality and meet predefined quality standards without manual inspection.
Digital workers can be programmed to detect inconsistencies or errors, helping resolve issues before they impact production.
We see great potential for developing intelligent automation for, among other things, accounting flows with financial statements, budgeting and forecasting.”
Head of operations support, Riksbyggen
We see [SS&C Blue Prism] as a key enabler for other technologies – including artificial intelligence and other cognitive technologies. For example, RPA can capture a huge amount of data that can then be applied to machine learning applications. Intelligent automation will provide the foundation for creating and extending these solutions across the business.”
Head of business optimization, Jaguar Land Rover
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