Automated Return Processes

𝗔𝗜 𝘄𝗶𝗹𝗹 𝗻𝗼𝘄 𝗵𝗮𝗻𝗱𝗹𝗲 𝘆𝗼𝘂𝗿 𝗿𝗲𝗳𝘂𝗻𝗱 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀 𝗮𝘁 𝗔𝗶𝗿 𝗜𝗻𝗱𝗶𝗮 Air India is deploying Salesforce's Agentforce, autonomous AI agents that will handle their entire refund process from start to finish. I was skeptical at first. I mean this is Air India we're talking about - not exactly synonymous with cutting-edge customer service. Then I looked closer at what they're actually doing: → They identified their most painful customer friction point (refunds). → They're automating the ENTIRE process end-to-end. → They're starting small, proving the concept, then expanding to voice. Here's why this matters for every business leader: Most companies use AI to make bad processes slightly faster. Air India is using it to fundamentally reinvent the customer experience. What's fascinating is how they're approaching this - not with massive, risky transformation, but with a targeted strike at their biggest pain point. For Air India, this could be the difference between surviving and thriving in an ultra-competitive market. For the rest of us, it's a masterclass in pragmatic AI transformation.

A former colleague in customer refunds and chargebacks was struggling with delayed and inaccurate refunds, leading to customer complaints and loss of trust. The finance team believed the issue was due to bank processing delays, but when we analyzed the data using SQL, we uncovered inefficiencies within the internal refund approval process. Streamlining Refund Processing with SQL 1️⃣ Finding Where Refunds Were Stuck We analyzed the average time spent at each stage of the refund process. SELECT refund_stage, AVG(time_spent) AS avg_time_spent FROM refund_tracking GROUP BY refund_stage ORDER BY avg_time_spent DESC; 🔹 Insight: Most delays weren’t from banks but from internal approvals taking too long. 2️⃣ Identifying High-Risk Refund Categories We looked at which types of refund requests faced the most issues. SELECT refund_reason, COUNT(refund_id) AS total_refunds, COUNT(CASE WHEN status = 'delayed' THEN refund_id END) AS delayed_refunds, (COUNT(CASE WHEN status = 'delayed' THEN refund_id END) * 100.0 / COUNT(refund_id)) AS delay_percentage FROM refunds GROUP BY refund_reason ORDER BY delay_percentage DESC; 🔹 Insight: Refunds due to damaged items had the highest delays because they required manual inspection approvals. 3️⃣ Prioritizing Faster Refund Processing We optimized the approval process by automating low-risk refunds. UPDATE refunds SET status = 'auto-approved' WHERE refund_reason IN ('payment error', 'duplicate charge') AND amount < 100; 🔹 Insight: Small, low-risk refunds were auto-approved, reducing workload on finance teams. Challenges Faced Manual Verification for Every Refund: Even clear-cut cases required manual approval, causing delays. Lack of Prioritization: Refunds were processed in order received, not based on customer urgency. Customer Trust Issues: Slow refunds led to negative reviews and increased support tickets. Business Impact ✔ Good % reduction in refund processing time by automating low-risk approvals. ✔ Fewer customer complaints by ensuring refunds were issued within 24 hours. ✔ Better fraud detection by flagging high-risk refund requests early. Key Takeaway: Refund processing isn’t just a finance task—it’s a data-driven process that can improve customer trust and operational efficiency. Have you optimized refunds using SQL? Let’s discuss!

🚀 Enhancing Efficiency: Automating Return Orders in D365F&O via Power Automate & AI Builder 🧠 In today’s fast-paced supply chain environment, manually processing return orders in Dynamics 365 Finance & Operations (D365F&O) can be time-consuming and prone to errors. That’s why leveraging automation tools like Power Automate and AI Builder is a game-changer! 💡 Here's how automation can streamline your return order process: 1. Automate Data Extraction: Use AI Builder to extract relevant data (e.g., customer info, item details) from return order documents like PDFs. 2. Power Automate Workflows: Trigger return order creation and updates in D365F&O based on the extracted data, eliminating manual entries. 3. Error Reduction: Improve accuracy by eliminating human error in data entry. 4. Real-time Processing: Orders get processed instantly, enhancing customer satisfaction. 🔑 This solution not only accelerates the return process but also ensures accurate data flows between systems, leading to better decision-making and improved operational efficiency. If you're looking to modernize your D365F&O operations or need help integrating Power Automate & AI Builder, let’s connect! #Dynamics365 #PowerAutomate #AIBuilder #SupplyChain #ReturnOrders #Automation #DigitalTransformation #ERP #Microsoft

Returns and exchanges are not just operational necessities – they sit at the intersection of customer experience, revenue flow, and efficiency. As businesses scale globally, managing these high-volume and often complex processes becomes increasingly challenging. AI is starting to play a pivotal role here – bringing speed, accuracy, and intelligence into everyday operations.   In this video, Henkel’s Dimitri Lerner shares how their collaboration with SAP Customer Innovation Services is helping reimagine returns and exchanges management.   Together, we are co-developing an AI-assisted solution that: Automates document interpretation Accelerates dispute resolution Provides real-time visibility across markets   By embedding AI directly into operational workflows, the solution reduces manual effort, improves accuracy, and enables faster, more responsive engagement with customers and partners. The highlight of this collaboration is customer-specific innovation, applying AI in ways that are deeply aligned to business processes, data, and industry context.    Watch it here: https://lnkd.in/gcC78SnT Thomas Saueressig   SAP  #CustomerStory #Testimonial

Amazon now lets sellers refund customers without getting the product back.   It sounds efficient. But it also raises a new question: how much automation is too much when trust is on the line?   This month, Amazon introduced FBA Partial Refunds across the U.S., U.K., Germany, France, Italy, and Spain, allowing sellers to issue partial refunds without requiring physical returns. The goal is simple: reduce shipping waste, cut costs, and improve customer satisfaction.   But the implications run deeper.   What’s actually changing   Here’s the new model in practice: • Sellers can enroll specific ASINs and set a partial refund percentage. • When eligible customers request a return, Amazon may offer them a refund without requiring the item back. • Sellers save on return shipping and processing costs, but don’t receive reimbursement for refunded inventory. • The transaction still counts toward the ASIN’s return rate, even though no product is returned.   For low-cost or bulky items, this could be a smart move. But it also introduces new risks, mainly around abuse and lost visibility. If the product never comes back, sellers can’t confirm what went wrong. And that blurs the line between resolution and write-off.   For years, Amazon’s logistics model has focused on optimizing movement. Now, it’s experimenting with reducing movement altogether.   This isn’t just about refunds. It’s about designing for frictionless resolution, removing as many steps as possible between a problem and its solution. But every layer of automation that removes friction also removes control. Over time, this could change how sellers handle quality assurance, policy protection, and profitability.   What this means for operators   If you’re an FBA seller, start small. Amazon now lets you enable FBA Partial Refunds across all ASINs or for select ones through a simple CSV upload, so you can test it strategically. Begin with low-value or high-return SKUs and measure the effect on refunds, abuse, and margin.   If you’re an agency or brand operator, be deliberate before scaling. Once activated, changes take effect immediately, and Amazon isn’t responsible for CSV upload errors. That means your tracking, file accuracy, and data hygiene now directly affect refund behavior.   But for everybody: note the broader signal, Amazon is reengineering operational trust. Therefore, incorporate this into your 2026 pricing and policy logic, particularly for products with high return sensitivity.   The best systems don’t just move products faster. They move fewer products unnecessarily.   📖 Read the full breakdown and data-backed analysis on Carbon6: https://lnkd.in/gSzgNpTK   #AmazonFBA #Ecommerce #Marketplace #Amazon

𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝟰.𝟬: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗥𝗲𝘁𝘂𝗿𝗻𝘀 𝗶𝗻𝘁𝗼 𝗮 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 In the past, reverse logistics was often viewed as a costly necessity—managing product returns, waste disposal, and recycling with limited efficiency. But Industry 4.0 is changing the game. The primary aim of reverse logistics 4.0 is to help maximize the recovery of the remaining value from end-of-life (EOL) products and appropriately dispose of the non recyclables. By integrating IoT, AI, cloud computing, and blockchain, organizations are turning reverse logistics into a strategic enabler—reducing waste, cutting costs, and driving sustainability while unlocking new revenue streams. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀? • 𝗙𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲: AI and big data help forecast return volumes, optimize collection, and improve decision-making. • 𝗙𝗿𝗼𝗺 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱: IoT-powered tracking and blockchain create end-to-end visibility in reverse supply chains. • 𝗙𝗿𝗼𝗺 𝗰𝗼𝘀𝘁 𝗰𝗲𝗻𝘁𝗲𝗿 𝘁𝗼 𝘃𝗮𝗹𝘂𝗲 𝗱𝗿𝗶𝘃𝗲𝗿: Smart remanufacturing and resale extend product lifecycles, reducing waste and boosting profitability. 𝗧𝗵𝗲 𝗦𝗺𝗮𝗿𝘁 𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗰𝘂𝘀𝗲𝘀 𝗼𝗻 𝗳𝗶𝘃𝗲 𝗸𝗲𝘆 𝗮𝗿𝗲𝗮𝘀: 1. 𝗦𝗺𝗮𝗿𝘁 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 – IoT-enabled bins, cloud-based tracking, and AI-powered demand sensing. 2. 𝗦𝗺𝗮𝗿𝘁 𝗦𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 – Automated AI-driven sorting, real-time inventory tracking, and dynamic waste dashboards. 3. 𝗦𝗺𝗮𝗿𝘁 𝗥𝗲𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 & 𝗥𝗲𝗰𝘆𝗰𝗹𝗶𝗻𝗴 – Digital twins, predictive analytics, and AR-assisted maintenance. 4. 𝗦𝗺𝗮𝗿𝘁 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 – Fleet optimization, autonomous vehicles, and blockchain for transparency. 5. 𝗦𝗺𝗮𝗿𝘁 𝗗𝗶𝘀𝗽𝗼𝘀𝗮𝗹 – AI-driven landfill management, cloud-based leachate monitoring, and sustainable disposal solutions. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝟰.𝟬 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻: 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 – AI-driven return prediction & automated restocking. 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 – Sustainable vehicle end-of-life disposal & part remanufacturing. 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀 – Smart WEEE recycling & resource recovery. 𝗣𝗵𝗮𝗿𝗺𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹𝘀 – Real-time monitoring of expired/recalled drugs. 𝗥𝗲𝘁𝗮𝗶𝗹 – AI-powered seamless return experiences. The Future of Reverse Logistics is Smart, Data-Driven, and Sustainable Reverse Logistics 4.0 isn’t just about managing returns—it’s about creating new value, driving sustainability, and gaining a competitive edge. Ref: https://lnkd.in/df4NtCj2