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Problem: Manually entering invoices into SAP takes time and slows down the process. Often causing bottlenecks in finance operations and delaying vendor payments.
Solution: Perhaps an RPA bot can capture invoices directly from email, jot down the key details, input everything into SAP automatically, and keep the system up to date in real time. This would not only speed up the entire process but also improve accuracy, helping the finance team pay vendors faster and get more done with less effort.
Problem: Every day, finance teams had to manually reconcile internal billing entries between different manufacturing plants, a tedious process that often led to delays and backlogs.
Solution: Our RPA bot took over the repetitive work by automatically identifying, logging, and validating these internal transactions right inside SAP. Manual effort dropped by 80%, delays disappeared, and leadership now has immediate access to clean, accurate data for decision-making.
Problem: Compiling daily accounts payable reports from multiple systems used to take up to two hours, a task that pulled finance teams away from more strategic work.
Solution: We introduced a smart RPA bot that gathers the data, formats the reports, and sends them out automatically every day. What used to be a daily chore is now handled seamlessly, giving the finance team more time to focus on high-value activities.
Problem: Earlier, our team manually checked the system daily. During these checks, important logs were sometimes missed, which could lead to machine failures.
Solution: This challenge was quickly overcome by automated software bot. The bot helps industries to create reports, gathers system logs, keeps an eye on machine health, and notifies the maintenance staff of any possible problems. This process resulted in solving issues before they occur, while keeping the system in tact and functional.
Problem: The staff used to send billing reminders manually. Therefore, this process was prone to errors and inconsistencies, lead to delayed payments and affect cash flow, eventually.
Solution: So, implement bots that handle billing reminders automatically while extracting data on unpaid invoices, generate reminder messages, and send them via SMS and email. This automation ensures prompt communication without flaws, improving collections and cash flow.
Problem: High work pressure/flow is overlooked if done manually. Since humans are capable to make errors, due to which orders get occasionally missed or delayed.
Solution: To overcome this challenge, RPA automates the entire order management process. It handles order intake, validates the information, activities, and services, and sets up billing without the need for human intervention. As a result, customers experience faster, more accurate services, leading to improved client satisfaction and smoother operations.
Problem: Earlier, claims were manually transferred from different systems to systems, which not only consumed a significant amount of time but also caused many errors.
Solution: These bots efficiently queued and processed claims on a large scale, feeding structured data directly into back-office systems. This innovative approach led to productivity gains of up to 30 times, transforming the way claims processing was handled and allowing staff to focus on more strategic tasks.
Problem: The insurance industry widely faced challenges due to inconsistencies between forms and CRM entries, which risked compliance and resulted in customer disputes.
Solution: For these issues, RPA bots are one-stop solutions for such issues. They verify and synchronize insurance information across various systems. By automating the data consistency checks, they significantly improved regulatory compliance and built greater trust in their data, ultimately enhancing the overall customer experience.
Problem: Claim intake through call centers proved to be expensive and inconsistent, often overwhelming the staff.
Solution: To streamline the process, a chatbot gathers claim data directly from customers and passes it to an RPA bot for thorough validation and fraud checks, aided by machine learning algorithms. This integrated approach not only reduced costs but also ensured quicker claim approvals, significantly improving service efficiency and customer satisfaction.
Problem: Sending email reminders to overdue cardholders was a time-consuming process that involved manual preparation and filtering of business intelligence data.
Solution: An RPA solution automates the downloading of reports, data filtering, file formatting, and uploading of email campaigns. This automation significantly reduces cost and labor time and saved hundreds of hours per cycle.
Problem: Validating CPC card restrictions required multiple email confirmations and manual tracking, leading to inefficiencies.
Solution: RPA bots were deployed to parse policy emails, validate usage restrictions, update the CARD application, and send automated confirmations. This automation saved over 200 hours monthly.
Problem: Managing and logging internal financial transfers across multiple business units required manual tracking in SAP, leading to delays, data inconsistencies, and lack of accuracy.
Solution: RPA bots were deployed to address these inefficiencies. They can monitor SAP systems for relevant transfer transactions, automatically validate entries, and update centralized financial logs in real-time, reducing automation processing by 80%.
Problem: Manually comparing and validating PDF contracts was a time-consuming process involving thorough reviews, often leading to missed compliance-critical information.
Solution: RPA bots to automate the retrieval, comparison, and annotation of legal documents so they can efficiently extract data from contract PDFs, compare them using advanced PDF tools, and highlight discrepancies or compliance issues. Implementing RPA into your day-to-day life not only eases tasks or reduces mistakes but is also cost-efficient and a time-saver.
Problem: Reconciling financial logs from various industries was a manual process that required significant time and effort, delaying insights and decision-making.
Solution: Deploying RPA bots to automate the reconciliation process that quickly and efficiently fetched financial data from different plants, matched billing entries, and logged them into the SAP system. This automation enabled near real-time data visibility, allowing for timely insights and more informed decision-making.
Problem: English contracts are manually reviewed, translated, and shared with a Japanese team, causing significant delays in communication and project timelines.
Solution: RPA bots are very helpful in terms of automation. They can accurately translate and extract key clauses from English contracts using Azure’s translation API. These bots can easily translate documents into Japanese or any other language, creating bilingual summaries so everyone can comprehend. These bilingual documents help streamline team communication, reduce delays, and improve efficiency in project execution.
Problem: Insurance SKUs linked to different items frequently lacked timely updates that reflected modifications to product specifications or pricing. Sales data became inconsistent as a result of this carelessness, which may eventually have an impact on financial forecasts and inventory management.
Solution: By effectively managing mapping files from external sources, RPA bots made sure that our internal systems were constantly current. In order to minimize inconsistencies and ensure real-time synchronization of our offers, they also validated entries in the IDM portal.
Problem: It was difficult to create and maintain customer-specific coupons, making it frustrating for both employees and clients. It is challenging to keep track of every single voucher that was provided due to the absence of an effective system. The lack of traceability consequently made it more difficult to track usage trends and assess the success of campaigns.
Solution: To expedite the distribution process, a bot helps create distinct, hashed coupon codes for every customer. These codes were easily assigned through CRM, making management and access simple. The system also kept thorough usage logs, which greatly increased marketing engagement and offered insightful data on consumer behavior.
Problem: Property leads from multiple listing sites showed up in various email formats, requiring manual effort to extract lead details, update CRM records, and coordinate appointment scheduling. This time-consuming process often resulted in delays, errors, and missed opportunities to engage potential buyers.
Solution: The solution for these problems is now solved by automated bots. These automated bots was deployed to cater to incoming email leads, automatically populate CRM entries, and send self-scheduling links to prospects. Resulting in over 500 appointments being booked automatically, reducing manual workload, improving lead response time, and increasing lead conversion rates by 20%.
Problem: Lease creation and renewal processes are typically handled manually by property managers, involving repetitive data entry, compliance checks, and document generation. This not only consumes valuable time but also increases the risk of human errors and delays in processing leases.
Solution: An RPA bot automates the entire lease lifecycle, from drafting new leases to managing renewals and updating tenant information in real time. The automation ensures accuracy, speeds up turnaround times, and enhances tenant satisfaction, leading to a 30% improvement in operational efficiency.
Problem: Property managers often juggle multiple manual tasks such as rent collection, handling maintenance requests, and responding to tenant queries. These repetitive tasks slow down operations and result in inconsistent service levels across properties.
Solution: A smart automation system was deployed to handle rent reminders, auto-process payments, log and route maintenance requests, and send timely tenant communications. This streamlined workflow improved service reliability and reduced property management overhead by 40%.
Problem: The mortgage application process is document-heavy and requires extensive manual verification, resulting in long turnaround times and increased chances of errors. This often leads to borrower dissatisfaction and higher processing costs.
Solution: An intelligent RPA solution automates key steps in the mortgage workflow, including document collection, data extraction, and preliminary approval checks. The automation reduced processing times by 50% and improved accuracy, enabling a faster and more efficient mortgage approval experience.
At Hubcom, we don’t just implement automation—we deliver intelligent, scalable RPA solutions that solve real business problems. We have strong knowledge in industries like telecom, healthcare, finance, and retail. This helps us create bots that fit well into your systems.
We use top tools like UiPath, Automation Anywhere, and Microsoft Power Automate. We also add industry insights to make sure every automation provides value. We work with you from start to finish. Together, we create solutions that lower costs and improve accuracy.