Ecommerce Fulfillment Options

India got its own Zara, but faster, louder and most IMPORTANTLY, fully made in India. And now, it delivers your outfit in 10 minutes. Meet SNITCH, a brand that’s doing over ₹100 crore in monthly revenue, valued at ₹2,500 crore, and is now entering quick commerce. 5 years ago, Snitch was just a tiny menswear experiment from Bangalore. Selling shirts to retailers, no hype or D2C dream. Then the pandemic hit, and they changed, from B2B to D2C, from racks to reels. Today, Snitch has become a case study in how to build desire. - 55 offline stores and still counting - Presence across 20+ states  - 35 new styles dropping every single day. Co-ords, prints, oversized fits, all designed for Indian men who finally stopped pretending to be Zara models. And now, they’re taking the biggest leap yet, entering quick commerce. Yes, you read that right. The same way you order Coke or chips on Blinkit, you’ll soon be able to order a shirt. 10 minutes before a party. Delivered before the DJ starts. Sounds wild, but it’s already happening. Snitch has the local inventory, offline muscle, and a Gen Z audience that shops faster than it thinks. And once fashion enters q-commerce, speed stops being logistics but becomes marketing. Because if Blinkit can sell ice cream in 10 minutes, Snitch can sell confidence. And Snitch is not the only brand doing this; there are multiple others: BEWAKOOF®, The Souled Store, and Rare Rabbit are already building instant delivery pipelines. Even H&M and Zudio Trent Limited have started testing hyperlocal pilots through 3rd-party delivery partners in metro cities. All these brands have realised the same truth: Q-commerce is not just for food or groceries but a new distribution layer for everything that sells emotion. The competition will come down to who owns speed, stock, and storytelling. Because in this game, the brand that reaches your door 1st also wins your mindshare. Groceries did it first, beauty followed, and now fashion is stepping in. Because India doesn’t wait anymore; not for meals, clothes, or trends. Snitch is proof that the next big battle in Q-commerce won’t be for essentials but for style.

The same people hunting for discounts on Myntra are paying ₹1,500 for instant fashion on Zepto. This isn't just another retail trend. It's a complete reversal of how we understand fashion buying. Urban consumers have started treating fashion like groceries, demanding immediate delivery for immediate needs. Think about it. That Saturday evening party outfit can't wait three days.  The campus event tomorrow needs the perfect look today. Quick commerce understood this shift before traditional retail even noticed and quick commerce platforms are specifically targeting trend-conscious urban customers and Gen Z. Why? Because they're willing to pay ₹500 to ₹1,500 on Zepto or ₹1,400 to ₹1,600 on NEWME for 25 to 60 minute delivery. The implications for fashion brands are staggering. Expanding inventory to new regions now requires: → Tech-led demand prediction systems → Understanding hyperlocal preferences → Building distributed warehouses → Tracking regional buying patterns Brands studying fashion demand must consider completely new factors. Weekend travel creates spikes in metro cities. Festive seasons hit differently across regions. Occasion-based purchases drive impulse buying. Each locality has its own style DNA. Traditional retail spent decades perfecting central warehouses and seasonal collections. Quick commerce demands the opposite. Small inventory points everywhere. Weekly design drops. Regional customization. Fashion has entered the 10-minute economy, and there's no going back. What's one fashion emergency that made you wish for instant delivery?

🚨 New Elevation Capital thesis: Quick Commerce x Fashion! Young Indians are discovering quick fashion through spontaneous moments - weekend plans, last-minute parties, or simply the urge to refresh their look within hours. While horizontal quick commerce players have added fashion to their offerings, the category demands specialized capabilities around assortment, sizing, and the critical try-and-buy experience that generic platforms struggle to deliver. Players like Slikk, KNOT, ZILO, NEWME and incumbent Myntra's M-Now are pioneering this space. These vertical fashion platforms are reimagining the entire shopping experience by marrying the discovery of online with the confidence of offline trial. Some highlights: > 10-20% of early users already buying twice monthly, transitioning from emergency use cases to regular browse-and-buy behavior > Impulse commerce creates entirely new demand - "I'm at a friend's place, we just made plans, I need an outfit in an hour" is driving adoption > Try-and-buy solves fashion's biggest online pain point - riders wait while customers try outfits, eliminating fit anxiety and reducing RTOs to 15% (vs 30% traditional) > Dark stores of 3,000-5,000 sq ft stock tens of thousands of styles, but the edge lies in merchandising algorithms that predict hyperlocal fashion preferences > Sale-or-return models critical for scaling without inventory risk - but success depends on brand relationships and negotiating power > Operating model complexity creates defensibility - balancing assortment breadth with inventory efficiency requires sophisticated demand prediction even when SOR isn't available > Categories like ethnic wear and bottom wear see strongest traction where fit matters most > Key challenges: expanding assortment without bloating inventory, achieving omnichannel coordination with brands, managing mix of SOR and outright purchases > TAM expansion opportunity - converting offline shoppers who avoid malls due to poor experience, not just capturing existing online wallet share

Understanding the SAP MM Procure to Pay Process! The procure-to-pay (P2P) process in SAP MM is integral to efficient procurement and payment management. It seamlessly integrates multiple critical business functions, from requisitioning to payment processing, ensuring streamlined operations and smooth transactions. Here's an in-depth look at the P2P process: Requisitioning: The process begins with a requisition, a formal request for goods or services. This document details the specific items or services needed, their quantities, and the required delivery date. Requisitions can be created manually or automatically based on MRP (Material Requirements Planning) outputs, making it easier to keep track of requirements across the organization. Sourcing: Once a requisition is approved, the sourcing process begins. This involves identifying and evaluating potential suppliers. Supplier selection is critical and can be supported by SAP's vendor evaluation functionalities, which help in comparing supplier performance and reliability. Effective sourcing ensures that the best suppliers are chosen based on quality, cost, and delivery performance. Purchase Order Creation: After selecting a supplier, a purchase order (PO) is created. The PO is a formal document sent to the supplier, detailing the agreed terms and conditions, such as quantities, prices, and delivery dates. SAP MM allows for the easy creation and management of POs, ensuring that all necessary information is accurately captured and communicated. Goods Receipt: When the ordered goods arrive, the goods receipt process involves checking the received items against the purchase order. This step ensures that the correct items in the correct quantities have been delivered. Any discrepancies are recorded and managed, ensuring accurate inventory records and preventing payment for incorrect deliveries. Invoice Verification: The supplier sends an invoice based on the delivered goods or services. The invoice verification process involves matching the invoice with the purchase order and goods receipt. This three-way match is crucial for ensuring that payments are only made for received and correctly invoiced goods and services. Payment Processing: After successful invoice verification, the payment process is initiated according to the agreed payment terms. This final step completes the procurement cycle, ensuring timely and accurate payments to suppliers, which helps maintain good supplier relationships and credit terms. #SAPMM #ProcureToPay #SupplyChain #Procurement #BusinessProcess Follow NagaSindhuja Methuku

Big thanks to Matthias Winkenbach and Eva Ponce from MIT Center for Transportation & Logistics, and Christopher Huber from Interlake Mecalux, Inc. for an eye-opening session on the role of AI in eCommerce. One of the biggest shifts is how we think about warehouses. They are no longer just storage and distribution hubs. They are becoming omnichannel fulfillment centers. With customers demanding next-day or two-day delivery, centralized fulfillment isn’t enough anymore. The solution is micro-fulfillment centers near cities, providing both speed and flexibility, and AI is playing a critical role in enabling this shift. Another key challenge is returns. Reverse supply chains are extremely costly for retailers, yet often free for customers. Smarter fulfillment and inventory placement strategies are needed to offset these costs while still keeping the customer experience front and center. AI is starting to transform how supply chains make decisions. The transition is moving away from static forecasting toward real-time, dynamic decision-making: �� More accurate demand forecasts, shifting from months and week to days and hours ▶ Smarter inventory ordering policies that adapt dynamically ▶ Real-time fulfillment choices that optimize cost and service The benefits are significant: ▶ Lower operating costs ▶ Better inventory utilization ▶ Improved resilience through flexibility and dynamic routing ▶ Higher levels of customer satisfaction Of course, there are still big challenges to solve. Data quality is often poor and inconsistent across systems. Scaling from prototypes to live deployments is difficult. Complex models that aren’t explainable are hard for teams to trust. And moving from heuristics to data-driven methods requires strong change management to build user confidence and skills. On the robotics side, controlling a fleet of AMRs is exponentially more complex than managing a single robot. AI is helping through: ▶ Intelligent dispatching, assigning tasks based not only on proximity but also battery levels, workload, and priorities ▶ Collective memory, where robots learn from obstacles (like a blocked aisle) and dynamically redirect each other in real time ▶ Seamless integration with other machines and humans, aiming to reduce training requirements while boosting safety and productivity The big picture: the future of supply chain will be data-driven, automated, and adaptive. Success will come from blending advanced technology with human trust, transparency, and the right skills. If you want to dive deeper into these concepts, MIT CTL has two excellent courses coming up: Supply Chain Analytics (SC0x) and Supply Chain Fundamentals (SC1x). For a limited time, you can get 30% off course verification with the code SKILLSEDX25 through September 10. ~Mr. Supply Chain® #AlwaysBeLearning #SupplyChain #MITCTL #AI

Ordered a kurta at 10 PM for a Diwali party the next morning. Delivered in 47 minutes. Yeh fashion quick-commerce ka game hai jo Myntra MNow ne 1 saal mein completely redefine kar diya 🔥 Everyone said fashion Q-comm won't work. Too many SKUs, sizing issues, returns would kill it. Myntra said, "Hold my dark store" and scaled from 10K styles to 1L+ SKUs in 12 months. Now let's talk about the tech that makes this possible: 1. Dark Store Network Architecture: MNow didn't just copy Blinkit's model. They built dark stores specifically for fashion, beauty, and lifestyle with high depth in selection. Each dark store holds 10K+ live styles with real-time stock sync. That's not a warehouse—that's a distributed fashion database running on steroids. 2. Real-Time Inventory Management Here's the crazy part: when you order, MNow's system checks inventory across multiple dark stores, calculates delivery time from each location, and assigns the order to the fastest fulfillment center—all in milliseconds. Fashion e-comm mein yeh level of optimization pehle kabhi nahi tha. 3. Integration with Myntra's Existing Infrastructure: They didn't build this from scratch. MNow plugged into Myntra's existing catalog, recommendation tech engine, and brand partnerships. Same app, same brands, different fulfillment—pure tech efficiency. This is what separates good execution from great execution. The Impact: → Bengaluru → 6 cities in 1 year → 10K styles → 1L+ SKUs (10x growth) → 1K+ brands now on M-Now → Categories seeing 3-4x growth during peak festive season → Starting from 30 minutes delivery Fashion Q-comm wasn't even a category last year. But here's what Myntra understood that others missed—there's a massive customer need for last-minute fashion shopping. Wedding tomorrow? Date tonight? Festival in the morning? MNow solved the anxiety of "I have nothing to wear". MNow didn't just enter this space, they created and dominated it. They proved speed + quality branded assortment with depth can coexist. Last-minute fashion shopping isn't a luxury anymore, it's an expectation they that M-Now delivers on. Happy 1st birthday, Myntra MNow 🎉 #MyntraMNow #FashionTech #QuickCommerce #TechInRetail

A 𝐒𝐐𝐋 𝐬𝐭𝐨𝐫𝐞𝐝 𝐩𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞 is a precompiled collection of 𝐒𝐐𝐋 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬 stored in the database server. It allows for the execution of multiple SQL commands as a single unit, enhancing performance and reducing network traffic. In this article, we'll explore the practical application of 𝐒𝐐𝐋 𝐬𝐭𝐨𝐫𝐞𝐝 𝐩𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞𝐬 in processing online orders for an e-commerce platform. As we get started, let's outline the steps involved and how a 𝐬𝐭𝐨𝐫𝐞𝐝 𝐩𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞 can 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐭𝐡𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬: ➡ 𝐈𝐧𝐩𝐮𝐭 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬: The stored procedure can take input parameters such as order ID, customer ID, product ID, quantity, etc. ➡ 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧: Validate the input parameters to ensure they are within acceptable ranges and that the order can be processed. ➡ 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐂𝐡𝐞𝐜𝐤: Check the inventory to ensure that the requested quantity of the product is available. If not, handle the situation appropriately, such as notifying the customer or updating the order status. ➡ 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Begin a transaction to ensure that all steps are completed successfully or rolled back if an error occurs. ➡ 𝐔𝐩𝐝𝐚𝐭𝐞 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲: If the inventory check passes, update the inventory levels to reflect the quantity of the product sold. ➡ 𝐂𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐞 𝐓𝐨𝐭𝐚𝐥: Calculate the total cost of the order based on the quantity and price of the products. ➡ 𝐔𝐩𝐝𝐚𝐭𝐞 𝐎𝐫𝐝𝐞𝐫 𝐒𝐭𝐚𝐭𝐮𝐬: Update the order status to indicate that it has been processed successfully. ➡ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐈𝐧𝐯𝐨𝐢𝐜𝐞: Optionally, generate an invoice for the order and store it in the database or send it to the customer via email. ➡ 𝐂𝐨𝐦𝐦𝐢𝐭 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧: If all steps are completed successfully, commit the transaction to make the changes permanent. ➡ 𝐄𝐫𝐫𝐨𝐫 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Include error handling to handle any exceptions that may occur during the processing of the order, such as database errors or network failures. By encapsulating these steps within a 𝐬𝐭𝐨𝐫𝐞𝐝 𝐩𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞, the e-commerce platform can ensure 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲, 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 in processing orders. Additionally, it simplifies the codebase, improves maintainability, and reduces the risk of errors. Keep the conversation going, below in the comments section 👇 Follow Sneha Vijaykumar for more... 😊 #sql #storedprocedures #datanalytics #datascience #personalgrowth

Last month, I joked: Who wore it faster- you or the delivery guy? Now, the punchline has turned into a product strategy. Quick commerce isn’t just flirting with fashion anymore. It’s proposing long-term commitment. New numbers in: Fashion is now the second-largest category on q-commerce platforms Daily order volumes for fashion have grown 1.4x YoY Libas delivers kurtas in under 10 minutes via Blinkit Myntra is piloting 30-minute fashion deliveries Reliance Retail’s Yousta is now live on Zepto and Swiggy The race is no longer about who gets noticed faster. It's about who gets delivered faster. From a digital marketing and brand-building lens, here’s how I see it shifting: Discovery → Desire → Delivery is collapsing into a single scroll What used to be a 5-step funnel is now a 3-second decision. Consumers aren’t waiting for the weekend to shop. They're buying while walking to the elevator. Quick delivery is becoming your conversion hook- A 10-minute ETA on Blinkit now outperforms a 20% off ad on Meta. You don’t just win eyeballs. You win right-now need. Localised inventory = real-time market research Quick commerce forces you to think in micro-regions, not metros. What sells at 5 PM in Powai might not sell at 8 PM in Koramangala. That’s intelligence most brands pay lakhs for. But hey, fashion isn’t chips. Return rates, fit anxiety, and brand consistency are real challenges. Speed must meet strategy. The play now: Treat quick commerce like a capsule runway. Test fast, stock small, storytell sharp. Speed is no longer a value-add. It's the expectation. How is your brand keeping up? Source: Mint Financial Express (India) #d2cmarketing #quickcommerce #retailtrends #consumerbehaviour

🛒 The future of the last mile is autonomous. FairPrice’s introduction of autonomous vehicles on Singapore’s public roads shows how AI-driven mobility is reshaping fulfillment and last-mile logistics. From IDC’s “AI/ML, Generative AI, and the Rise of Autonomous Supply Chains”, we see a clear trajectory: logistics networks are evolving toward agentic, data-driven orchestration, where decision support, exception management, and fulfillment automation merge seamlessly. Implications for last-mile operations: 🚦 Greater consistency and precision in delivery windows 🔄 Dynamic routing and real-time decisioning powered by AI agents 🌱 Potential sustainability gains via reduced congestion and idle time This isn’t just innovation. It’s the early stage of autonomous supply chain maturity, as reflected in IDC’s research. 🔗 See the FairPrice article: https://lnkd.in/gUdq4qNx 🔗 IDC research here: https://lnkd.in/gpb4nX8C #IDC #AI #GenAI #AutonomousSupplyChain #LastMile #SmartMobility #Retail #Logistics #DigitalTwin #Innovation

India’s quick commerce market is evolving at lightning speed, and Myntra is diving headfirst with M-Now, its 30-minute fashion delivery service. With a starting catalog of 10,000 styles from global and domestic brands like Vero Moda, MANGO, Tommy Hilfiger, Huda Beauty, and Bobbi Brown, M-Now is reshaping how Indians experience fashion. And this is just the beginning – Myntra plans to scale up to 100,000 styles within months! Here’s why this move excites me: 1. Quick Commerce is the New Normal India’s quick commerce market has already hit $3.34B in 2024 and is growing at a mind-blowing 73% YoY, outpacing traditional e-commerce’s 14% growth. Myntra’s entry expands the scope from groceries and essentials to fashion and lifestyle, redefining convenience. 2. Speed Meets Aspiration Fashion is an impulse-driven, aspirational category. By delivering trendy outfits and accessories in 30 minutes, Myntra is aligning with consumer lifestyles where immediacy and variety reign supreme. 3. Tech-Enabled Transformation Myntra is leveraging smart inventory placement, predictive algorithms, and advanced logistics to deliver at hyper speed while maintaining its premium shopping experience. 4. Pioneering a New Trend With M-Now, Myntra sets a global precedent as a vertical e-commerce giant offering hyper-fast delivery in fashion. This bold move could inspire similar innovations in the industry. 💡 The bigger picture India’s quick commerce market is still only 7% penetrated, with potential soaring as smartphone penetration and urbanization grow. Myntra’s M-Now is a leap towards realizing this massive untapped opportunity. What do you think? Is Myntra's foray into quick commerce the future of fashion retail?