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Techday NZ
07-08-2025
- Business
- Techday NZ
SER unveils AI bundles to boost SAP finance & procurement
SER Group has announced the launch of two new AI-powered solution bundles aimed at enhancing purchase-to-pay and order-to-cash processes in SAP environments. The new Doxis Purchase-to-Pay for SAP and Doxis Order-to-Cash for SAP bundles are designed to address the challenges caused by manual workflows, ineffective legacy automation, and growing data volumes which, according to projections, could reach 390 zettabytes of documents created annually by 2028. The solution bundles integrate AI-powered process automation with document processing services and connectors to inject what SER refers to as 'Smart Content' into SAP processes. This integration targets increased productivity and scalability for enterprises looking to improve their finance and procurement operations. Capabilities overview Doxis Purchase-to-Pay for SAP supports digital generation and transparent approval of purchase requisitions within SAP. It features smart extraction, rule-based validations, and automated approvals for delivery dates, pricing, and quantities in the order confirmation stage. For delivery bills and receipts, the solution automatically recognises delivery notes via barcode, records goods receipts, and ensures transferal to SAP and posting. AI-enabled processing of invoices from physical, email, or EDI sources is supported, with automated workflows and SAP posting designed to eliminate manual steps and reduce processing time. The Doxis Order-to-Cash for SAP bundle focuses on sales order automation, allowing multi-channel capture of incoming sales documents including email (PDF), SAP Ariba, IDoc and EDI, with AI and workflow automation support. It also provides real-time order creation and monitoring. For billing and electronic invoicing, the bundle facilitates fully compliant eInvoice generation standards such as ZUGFeRD, XRechnung, Factur-X, and KSeF, ensuring traceability and SAP integration. An order monitor feature offers users a 360-degree view of the sales order processing status. Business benefits SER Group claims the new SAP solution bundles deliver benefits such as streamlining document-intensive workflows, improving compliance measures, and increasing global efficiency, leading to both time and cost savings. The solutions allow up to 100% data recognition accuracy, underpinned by Doxis's Intelligent Document Processing (IDP) Financial Model and human-in-the-loop validation. They also include features for fraud prevention, such as duplicate invoice detection and compliance checks. Global scalability is facilitated by support for more than 20 languages and compatibility with both SAP ECC and S/4HANA systems. The bundles are described as cloud- and Clean Core-ready, enabling flexible, future-proof, cost-effective, scalable, and secure deployment options for enterprises with differing IT strategies. The Doxis solutions are the first to demonstrate the blending of team skills and technology following SER's recent acquisitions of AFI Solutions, a specialist in SAP document automation, and Klippa, a company with expertise in AI-powered Intelligent Document Processing. Market context "Our new SAP bundles are designed to help enterprises scale faster, operate smarter, and grow with confidence," says Dr. John Bates, CEO of SER Group. "By fusing AI-driven document intelligence, robust SAP process automation and powerful archiving, we are giving customers the Smart Content tools they need to multiply productivity, mitigate risk, and accelerate digital transformation." SER Group's launch comes amid rapid change in the Enterprise Content Management market. Industry analysts have recently pointed to the resurgence of the 'document management' category as a crucial component of enterprise AI strategy, partly in response to the expanding volume of information that businesses must handle. SER is headquartered in Bonn, Germany, and employs more than 600 people in 20 offices across 11 countries. Its ECM technology is used by enterprise customers which include DHL, Allianz, UBS, and BASF. The company has been recognised in industry assessments, being named a Leader in both the Gartner Magic Quadrant for Document Management 2024 and the IDC MarketScape: Worldwide Intelligent Content Services 2024 Vendor Assessment.
India.com
18-05-2025
- Business
- India.com
Intelligent Order-to-Cash: Inside the Playbook of SAP Specialist Nithin Vunnam
The promise of an integrated enterprise resource-planning landscape has always been clear: shorten cash cycles, improve compliance, and anchor decisions in real-time data. Yet, for many global manufacturers, distributors, and life-sciences firms, the route from customer order to settled invoice is still littered with manual hand-offs and legacy bottlenecks. The growing mix of cloud add-ons AI-driven CRM, process-mining dashboards, and specialized rebate engines only raises the stakes for getting the foundations right. It was while reporting on this tension between vision and reality that I kept hearing one name from project leads on three continents: 'You should speak with Nithin, he's the one who sees the whole chessboard.' Strengthening the Order-to-Cash Backbone Ask Nithin Vunnam how he introduces himself and the reply is refreshingly spare: 'I build order-to-cash systems that don't break when the volume spikes.' Behind that understatement lies 14 years of SAP depth, including five full life-cycle implementations across Medical, pharmaceuticals, automotive, and heavy-equipment manufacturing. Vunnam mastered the Sales & Distribution module in the ECC era and has since tuned his craft around S/4 HANA, weaving in Logistics Execution, Vistex incentive management, and increasingly Salesforce integrations. His colleagues recall that, during a major ERP implementation at a leading U.S. healthcare, Vunnam established release and change management framework by delivering 100% on-time cutover and net zero business downtime. 'It wasn't glamourous,' he says, 'but it let the IT task to be completed on time and business operations to get started without delays.' Similar pragmatism guided his redesign of inter-company stock-transfer orders at John Deere's Brazil unit, where he mapped nota-fiscal compliance into bespoke IDoc flows. Vunnam's approach starts with pricing logic. He has created entire condition-technique frameworks—custom tables, access sequences, and tax schemas—to keep global rebate programmes aligned with local regulations. On the Vistex front, he configured automated chargebacks that now process thousands of distributor claims nightly. 'Margins disappear one rounding error at a time,' he notes, 'so you automate the guard-rails first, then worry about dashboards.' Orchestrating Transformation at Scale If configuration is his toolkit, large-scale change is his stage. As release manager for a $35 million ERP modernization programme known internally as PMOD, Vunnam established the migration change-control board that still governs every transport into production. Those guard-rails delivered zero high-severity defects across five major cutovers—no small feat in a landscape spanning SAP, cloud middleware, and third-party logistics systems. More recently, he assumed the solution-owner role for Order-to-Cash and Customer-Lifecycle streams in 'Project Sherpa,' an ambitious initiative by a Fortune 15 healthcare-services provider to bring order entry back in-house while keeping EMEA logistics with a 3PL. The obstacle: heterogeneous batch practices that risked derailing lot traceability. Vunnam proposed plant-level batch governance that satisfied EU regulators without disrupting U.S. operations reliant on legacy documentary batches. The system went live on schedule; service-level metrics improved instead of dipping. Beyond SAP, Vunnam is steering the same enterprise toward intelligent automation. He introduced Einstein AI within Salesforce to classify service cases, generate knowledge articles, automate order processing into ERP and score opportunities—saving 80 person-hours per day. He then plugged marketing-automation (Pardot) and content-enablement (Highspot) tools into the CRM layer so sales teams could track lead engagement in real time. 'AI only helps if good data shows up when the algorithm knocks,' he quips, underscoring his insistence on end-to-end process fidelity. His cross-functional fluency extends to finance: tight SD-FICO integration ensures that credit management, revenue recognition, and dispute handling run off a single source of truth. 'Supply-chain velocity is meaningless if cash sits in disputes,' he warns, echoing lessons from earlier stints where mismatched pricing conditions stranded revenue for weeks. Seeing the Road Ahead Asked where the next bottleneck will surface, Vunnam points to the analytics tier. He recently piloted Celonis dashboards over Order-to-Cash and supply-chain event logs, uncovering customer-specific pricing blocks that had quietly deferred invoicing and automating product substitution on backorder lines by sending automated emails to customers and filling up the backorder lines. The fix reclaimed revenue and shaved days off the cash-conversion cycle and help fill up order lines on backorder. 'Process mining shows you the negative space the paths people didn't intend but follow anyway,' he says. That curiosity keeps him scanning the horizon. He is currently mapping how event-driven architectures could push real-time shipment milestones from carriers straight into SAP TM and SD, closing the gap between physical and financial supply chains. Born and educated in India, with an MBA from Central Michigan University, Vunnam toggles easily between development teams in Chennai and business sponsors in Chicago. 'Multinational projects succeed when every location's constraint is treated as first-class,' he reflects. Returning to the Challenge The stakes around Order-to-Cash have never been higher: tightening margins, tougher traceability mandates, and customers who expect Amazon-like transparency. Intelligent tools AI classifiers, process-mining, rebate engines, offer relief only if the core transaction spine is sound. Nithin Vunnam's career illustrates what that takes: relentless attention to pricing accuracy, disciplined change control, and a habit of designing for both global scale and local nuance. As companies plot their next ERP move—greenfield S/4 conversions, composable apps, or incremental cloud add-ons—leaders would do well to remember his closing advice: 'Automate with empathy. The system must respect every person who touches it, from warehouse picker to finance analyst. When it does, value flows.'
