Handling Ecommerce Logistics

Walmart Opens New Stores: You’re Not Allowed In. They look like stores. They stock popular products. But you can’t go inside. Walmart is piloting “dark stores” in Dallas and Bentonville—brick-and-mortar locations that fulfill only online orders. No customers. No carts. Just pickers, packers, and speed. This isn’t omnichannel. It’s reverse omnichannel—physical space built to serve digital demand. It’s working: Walmart’s U.S. e-commerce is now profitable, with Q1 sales up 21%. Deliveries under 3 hours grew 91% year-over-year. They expect to reach 95% of U.S. households within that timeframe. What’s driving this? * Tech-powered logistics (drones, AI, automation) * Streamlined assortments and faster turns * Customers willing to pay for speed What does this mean for brands? If you’re not easy to pick, ship, and deliver, you’re in the wrong place at the wrong time. * Visual merchandising becomes data merchandising. * Packaging becomes performance. * Shelf appeal becomes search appeal. This tactical shift is both a challenge and a call to evolve. The store of the future may not need shoppers. But it absolutely needs suppliers who understand the choreography of fulfillment. Would love to hear how others are preparing for a world where brick-and-mortar goes dark. #RetailStrategy #Ecommerce #Logistics #Walmart #DarkStores #RetailInnovation #ConsumerBehavior #RetailTransformation #LastMile Bloomberg Retail Dive Amazon Kohl's

E-commerce logistics during peak season is a complex and challenging operation. Here's an overview: Thumb rule - Fast,safe & on time delivery with minimum price operation ,one has to follow to meet the customer satisfaction in all aspects. Peak Season Logistics Challenges: 1. Increased volume (millions of packages per day) 2. Time-sensitive delivery demands 3. Higher customer expectations 4. Limited capacity and resources 5. Supply chain disruptions 6. Weather-related issues 7. Labor shortages 8. Technology and infrastructure constraints Strategies to Meet On-Time Delivery Demands: 1. Scalable Infrastructure: Temporary warehouses, pop-up distribution centers 2. Flexible Workforce: Seasonal hiring, overtime, and flexible scheduling 3. Technology Integration: Automated sorting, tracking, and delivery systems 4. Data Analytics: Predictive modeling, real-time monitoring, and optimization 5. Partnerships and Collaborations*: Carrier partnerships, last-mile delivery networks 6. Dynamic Routing: Real-time route optimization, traffic management 7. Inventory Management: Strategic inventory placement, pre-season stocking 8. Customer Communication: Proactive updates, transparent tracking Best Practices: 1. Pre-Season Planning: Forecasting, capacity planning, and resource allocation 2. Real-Time Visibility: End-to-end tracking, monitoring, and alerts 3. Proactive Issue Resolution: Quick response to delays, exceptions 4. Carrier Diversification: Multiple carrier partnerships for contingency 5. Contingency Planning: Backup plans for unexpected disruptions Innovative Solutions: 1. Drone Delivery: Last-mile delivery acceleration 2. Autonomous Vehicles: Self-driving delivery trucks 3. Robotics and Automation: Warehouse automation, sorting 4. Artificial Intelligence: Predictive analytics, optimized routing 5. Internet of Things (IoT): Real-time tracking, monitoring Key Performance Indicators (KPIs): 1. On-time delivery rate 2. Order fulfillment rate 3. Shipping accuracy 4. Customer satisfaction (CSAT) 5. Return rate 6. Cost per shipment 7. Transit time 8. Supply chain visibility Few major E-commerce Logistics Players: 1. Amazon Logistics 2. UPS 3. FedEx 4. DHL 5. USPS 6. JD Logistics 7. Alibaba Logistics 8. Shopify Logistics 9.Flipkart logistics 10.Delhivery.com. Peak Season Logistics Timeline: 1. Pre-season (July-August): Planning, forecasting, resource allocation 2. Peak season (November-December): Increased volume, expedited shipping 3. Post-peak (January-February): Returns, inventory management By implementing strategies, e-commerce companies can ensure timely delivery and meet customer expectations during peak season.

I see many founders pop champagne (figuratively) to celebrate their listing on qcomm without realizing there’s a challenge ahead. It doesn’t end with the listing The next q which everyone faces is: “How do we stay in stock every single day on Blinkit, Zepto, Instamart?” The backstory: this channel didn’t just emerge. It exploded. From 300 million USD in 2021 to > a projected 5 billion by 2025: quick commerce has grown more than 16x in 4 years. For many urban D2C brands, it already drives 15% - 25% of total sales. If you take food or essentials this number could be 50%. So, it’s not an ancillary channel - it’s core. The biggest crime as a brand on qcomm is if your product isn’t on the shelf at 9 PM when someone is scrolling for chips, drinks, or face wash. The customer leaves frustrated and switches to another brand. And, you’ve lost that impulse but, you’ve also lost the customer and his/her loyalty. Staying on that shelf is half the battle won. It’s not just a supply chain metric, it’s now a revenue driver as well. But, staying on a qcomm shelf is more complex than an ecommerce shelf. You are no longer shipping to a few metro hubs. You are trying to stay live across thousands of dark stores, each with its own demand curve, purchase orders, & refill schedules. If you miss few POs, the algo hated you & you’re out of stock in 50 locations by the morning. This is where founders need to be sharp. I am now seeing smart, new-age infra kick in….. My friend and portfolio founder Madhav Kasturia & his startup Zippee have synced with V-Trans (India) Ltd (Jay Shah, Ronak Shah & team). They’re now enabling next day PO fulfillment to quick commerce warehouses across cities across channels - Blinkit, Zepto, Instamart, Flipkart Minutes, & BB Now. They fulfill POs on time as the channel demands. Not 4 days later, not after endless follow ups - the next day. They also manage your appointment based deliveries and ensure there’s no rejection at fulfillment center or endless coordination. I’ve seen Madhav build Zippee from 0 over these 4 years with speed and execution. And, I’m excited with this new solution because it solves a real problem. The brands that win on qcomm will not just be the best marketed. They’ll also be the ones that are best stocked! How often have you seen “Out of Stock” when trying to order something on qcomm? What does that make you feel? #qcomm #founders #india #d2c

An API endpoint should never perform an unbounded number of reads or writes. That means you cannot have an endpoint to export all your bank transactions (potentially unbounded reads), or an endpoint to import all transactions from another platform (potentially unbounded writes). If the I/O cost of the db operations in an endpoint is potentially unbounded, this is a *JOB*, not an endpoint. The way to model such product requirement is as follows, let's use the "Export all my historical transactions" example: The entry point of the job is still an endpoint. But the endpoint responds right away and creates a DB entity corresponding to the job. The endpoint will write a db entry which be look like TransactionsExportJob<CustomerId, Status=Pending>. The creation of the above DB entity triggers a worker. You can do this using some sort of DB trigger functionality or by the endpoint also sending a message to a queue after creating the db entity. I prefer the latter option by a lot because SQS comes with retries and DLQ redrives out of the box. Either way, the async worker triggers, reads the data from the database little by little, and updates the status of TransactionsExportJob DB entity as it goes. The DB model should account for all possible terminal states - cancelled by user, paused, stopped, success, error. Whatever you wanna support from a product perspective. Depending on the product requirements, you might want to store progress updates too. It is important that you have control over how many of these workers can run at once. You do not want to JUST move the potentially unbounded number of reads to a loop running off the host. If you do this, you leave the door open to 50 customers doing it at the same time and putting I/O pressure on the DB. You must limit the number of these concurrent workers that can run. In the end, when the worker is done, mark the job as completed.

Site migrations are SEO danger zones. One wrong move will see your traffic plummet to zero overnight. Thanks to this checklist, our client's site saw a +61% INCREASE in organic traffic in 6 months instead. If you're: • Switching to a new domain  • Moving to a new CMS or platform (e.g., BigCommerce → Shopify) • Migrating to a new server or host • Launching a mobile version of your site Here’s the full checklist to execute a flawless migration for your site: Step 1: Pick a smart migration date NEVER migrate during peak seasons or high-traffic periods. My personal rule: Always migrate on Saturdays when traffic is lowest, giving you the full weekend to fix issues before Monday traffic returns. (Varies based on niche.) Step 2: Create a comprehensive URL map This is non-negotiable. Before touching anything: • Crawl your entire site (use Screaming Frog or Sitebulb) • Map EVERY old URL to its new destination • Document in a spreadsheet with 3 columns: - Original URL - New URL - Redirect Status Step 3: Implement proper 301 redirects Without correct redirects, your rankings disappear. For each URL in your mapping document: • Implement permanent 301 redirects from old → new • Test EVERY redirect before going live • Check that PageRank (ranking power) transfers correctly Step 4: Update ALL internal links This step is often missed and kills performance: • Find all internal links pointing to old URLs • Update each to point directly to new URLs Don't rely on redirects for internal navigation—they create unnecessary page load delays that compound across your site. Step 5: Create a proper staging environment Never make changes directly on your live site: • Create a password-protected staging site • Add a robots.txt blocker to prevent indexing • Test everything in staging before going live: - Site speed - Mobile rendering - All redirects - User flows Step 6: Remove temporary blocks post-launch After migration, make sure: • Robots.txt is updated to allow crawling • Noindex tags are removed • Password protection is disabled Forget this and Google won’t index your new site. Step 7: Notify Google of your changes Once live: • Submit your new XML sitemap to Google Search Console • Use the Change of Address tool (if changing domains) • Manually request indexing for key pages Step 8: Update backlinks where possible Reach out to sites linking to your old URLs and ask them to update to the new ones. Especially important for high-authority links and landing pages. Step 9: Check Core Web Vitals + Performance After migration, test: • Load speed (target under 2 seconds) • Core Web Vitals (LCP, CLS, FID) Fix anything that tanks performance. Fast sites get crawled (and ranked) faster. Step 10: Monitor obsessively Post-migration schedule: • First 24h: Check server logs hourly • First week: Daily ranking + crawl checks • First month: Weekly traffic analysis • First quarter: Monthly SEO audits

Never judge a business by its front office but by its back-end logistics. Managing sourcing across India, Pakistan, and Bangladesh has taught me that logistics isn't just about moving boxes—it's what makes or breaks a retail operation. Here's why: The global logistics market hit $9.2 trillion in 2023, with Asia-Pacific contributing 42% of this value (McKinsey Global Institute). Yet, companies lose 20-30% of their logistics costs to inefficiencies. (McKinsey & Company) The real cost of weak logistics shows up in: → Inventory Stockouts: 8.3% of retail sales are lost to out-of-stock situations, costing retailers $1 trillion annually (IHL Group)  → Dead Stock: The average retailer ties up 25% of working capital in excess inventory (Gartner)  → Broken Promises: 69% of customers won't shop with a retailer again after a late delivery (Retail TouchPoints)  → Emergency Shipping: Rush shipping can cost 5-10x more than standard rates (Deloitte) In 2024, due to various disruptions in logistics caused by war, instability, and climate change-induced natural disasters, I witnessed firsthand how fragile supply chains can be. Geopolitical turmoil, including events like the Red Sea Crisis and the Ukraine conflict, further exacerbated these disruptions, underscoring the critical need for resilient and adaptable supply chain strategies. Companies with robust logistics weathered the storm, while others faced existential crises. Today's successful businesses need: 📌 Strategic warehouse placement near key markets 📌Real-time inventory tracking across locations 📌Multiple transport routes for critical supplies 📌Robust risk mitigation plans In my experience, managing an annual sourcing volume of $100 million, the difference between profit and loss often comes down to one question: Can you get your product where it needs to be when it needs to be there? What's your biggest logistics challenge? Share your experience below. #SupplyChain #LogisticsManagement

🚨 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

📤 Designing Better Bulk Import UX (+ Figma Prototypes). With practical guidelines to design better bulk operations in complex digital products ↓ 🤔 Bulk operations are heavily underused in most products. ✅ Bulk means running repetitive tasks in large batches. ✅ It enables fast iterations/updates across large data sets. ✅ It also reduces time on task, human errors, manual actions. ✅ Many flavors: bulk import, edit, disable, move, update, archive. ✅ For import, first define core bulk attributes for mapping. ✅ For each attribute, we define a data profile, optional/required. ✅ Then, we study file types, encodings, max. file sizes, metadata. ✅ Usually we support Excel, CSV, copy/paste, preview, auto-fill. ✅ We write error messages for broken files, unmatched columns. ✅ Design 5 stages: pre-import, file upload, mapping, repair, import. 🚦 Pre-import: set up guardrails, give an example/Excel template. ✂️ File upload: support drag-and-drop, keyboard-only, copy/paste. 🚎 Mapping: map header columns, check values, add inline editing. 🧰 Repair: flag duplicates, allow users to see only rows with errors. 🗂️ Import: show a summary, support tags, labels or categories. Probably the most challenging part about bulk operations is helping users fix issues — be it columns mismatch, missing data, contradictory details — *within* the bulk feature itself. Many interfaces simply dismiss the file with generic and technical jargon — labelling it as "corrupt", "invalid", "incompatible" or "wrong". We can prepare users about the expectations on data format, sizes and attributes ahead of time. We could provide a sample template to consult or use. Map column headers but then allow users to fix errors. Look ahead: there might be duplicate records already, so before overwriting them, flag them and ask users to confirm how they'd like to manage them. And: once an import has completed, usually it’s very difficult to reverse the process — so help users categorize, tag or add some extra metadata (e.g. source) to tell the "new" data apart from the "old". You might not be able to reverse the process, but you can help users navigate around it if needed. Useful resources: Bulk Upload Feature UX, by Livinda Christy Monica https://lnkd.in/exMu32zd Making A Bulk of Payouts, by Divya Kotian Article: https://lnkd.in/ejjkkWTK Figma prototype: https://lnkd.in/e7UF2dVP Bulk Import UX For CSV & XLXS, by Yooshan Chandran Article: https://lnkd.in/ed5p8kbp Figma prototype: https://lnkd.in/eQnJwZBT Building a Seamless CSV Import, by Flatfile https://lnkd.in/e7BW6-gR #ux #design

New exclusive: Amazon is opening up its supply chain—to all businesses, of all industries and sizes. The e-commerce giant is trying to do for logistics what Amazon Web Services (AWS) did for cloud computing with a new business called Amazon Supply Chain Services. “We first built this network over 20 years for ourselves. We then made it available to Amazon sellers,” said Peter Larsen, vice president of Amazon Supply Chain Services. “Now we’re making it available to any business of any shape or size.” Amazon Supply Chain Services will be a centralized place for companies from consumer-goods manufacturers to apparel retailers to hire Amazon for services such as fulfillment, ocean and air shipping, and truck transportation. The move to tie together all of its supply-chain services in one place in effect officially makes Amazon a third-party logistics provider, or 3PL, competing with the likes of transportation and warehousing giants such as DSV - Global Transport and Logistics, DHL Group and Kuehne+Nagel International. It positions Amazon to take a bigger bite out of a global market for third-party logistics services that is estimated at more than $1.3 trillion, according to research group Armstrong & Associates, Inc. Evan Armstrong and Daniel Stanton, DBA shared insights about what this means for the 3PL world. Read more at this free link: https://lnkd.in/e6SBsNQJ The Wall Street Journal Dow Jones Risk Journal

Creating a E2E Automation Framework for ECommerce application like Amazon 🔰 Start Phase: Laying the Foundation 1) API Automation Layer -> User Management: Auto-create test accounts, assign roles & preferences. -> Product Setup: Spin up catalogs, inventory, pricing & promos via POST APIs. -> Order & Payment: Mock cart retrieval, order placement & payment flows. 2) Data‑Driven Testing Layer -> Test Data Sources: CSV for simple tables, JSON for nested objects, direct DB queries for live data. -> Payment Scenarios: Valid cards, expired cards, low‑fund edge cases. -> User Personas: New vs. returning vs. premium shoppers, single vs. bulk orders, domestic & international journeys. 3) Framework Architecture -> Tech Stack: Selenium + TestNG/JUnit for UI, REST Assured for APIs, Maven/Gradle for builds. -> Design Patterns: Page Object Model, Factory, Strategy & Builder for clean code. -> CI & Reporting: Dockerized Jenkins pipelines + Allure for polished test reports. ⚙️ Mid Phase: Building Out Core Scenarios 1) High‑Priority E2E Scenarios -> Registration & Login: Email format, password strength, “remember me,” invalid creds. -> Product Discovery: Search keywords, filters, sort; browse categories & recommendations. -> Shopping Cart: Add/remove items, quantity changes, variant selections. -> Checkout Flow: Address entry/validation; card validation & payment processing. -> Order Management: Confirmation page, email notification, status history & refunds. 2) Test Execution Flow -> Setup: Kick off API calls to prep users, products & promos. -> Data Load: Push test scenarios & persona data into system. -> UI Tests: Execute journeys—registration through order tracking. -> Validation: Cross‑check UI elements, DB states & API responses. -> Cleanup & Reporting: Tear down data, capture screenshots & generate metrics. Maintenance/Improvement Phase: Scaling & Enhancing 1) UX & Performance Automation -> Load Times: Measure navigation & DOM ready metrics. -> Visual Regression: Automated screenshot diffs across browsers. -> Accessibility: WCAG checks, keyboard navigation & screen‑reader tests. 2) Cross‑Platform Coverage -> Browsers: Chrome, Firefox, Safari, Edge across multiple versions. -> Devices: Desktop breakpoints, tablet viewports & mobile touch interactions. -> Mobile App (future): Extend same patterns to native/hybrid apps. 3) Continuous Improvement -> Shift‑left performance checks in CI pipeline. -> Enrich data‑driven scenarios with real customer insights. -> Integrate AI‑powered visual testing for faster UI comparisons. -x-x- Coding Interview Prep for Manual Testers & QA: https://lnkd.in/ggXcYU2s Become playWright typeScript pro and E2E framework: https://lnkd.in/gSDPSqeC #japneetsachdeva