Order Processing Workflow Optimization

What worked at 100 orders a day won’t work at 10,000. Most retailers begin with simple fulfillment workflows that work fine when volumes are low. But as omnichannel strategies kick in, offering same-day delivery, fulfilling from stores, or managing spikes in online demand, those basic processes quickly start to break down. Shopify’s native order routing is a solid fit for small-scale operations. But as complexity grows, so does the need for smarter, more flexible fulfillment decisions. Routing every order to a store? Not scalable. Sending everything to a warehouse? Not fast enough. A more balanced approach considers the urgency of delivery, inventory availability, and store capacity. Need it today or tomorrow? Route it to the closest store that has stock and can fulfill it quickly. Standard shipping? Send it from the warehouse where fulfillment is more cost-effective. And proximity alone doesn’t cut it. A nearby store without stock or capacity can create delays instead of reducing them. That’s where intelligent order routing makes a difference. HotWax Commerce gives retailers the ability to define dynamic fulfillment rules, based on delivery promise, inventory position, and store capability, and adjust them as business conditions evolve. Smarter routing leads to faster delivery, better inventory turnover, and happier customers. Scaling fulfillment doesn’t have to mean adding chaos, just better decisions. #orderfulfillment #omnichannel #shipfromstore #retailtech #shopify #inventorymanagement

Adding new sales channels won’t fix a broken operations system. Yet, brands keep making this mistake every day. A retailer scaling past $500M in sales had a dozen people manually managing orders across disconnected systems. That’s a money pit if you ask me. If you want to get your order operations right, start here: First, pull all your orders into one place. If you're managing sales across marketplaces, your website, and retail partners, but each channel runs on its own system, you’re asking for trouble. A single unified flow makes life a whole lot easier. Second, automate inventory syncing. Nothing tanks customer trust faster than selling a product that isn’t actually in stock. If inventory updates lag across channels, you’re either overselling or sitting on dead stock. Real-time syncing keeps everything accurate and saves your team from firefighting. Third, let orders route themselves. A lot of brands still rely on manual decision-making to figure out which warehouse should ship an order. The fastest and cheapest fulfillment path shouldn’t be a guessing game. Automate it based on location, stock levels, and carrier rates, and you’ll cut fulfillment costs and still get orders out faster. Fourth, burn the spreadsheets. If your team is manually tracking orders, reconciling inventory, or copy-pasting data between platforms, you’re wasting time and money. Build workflows that eliminate manual busywork. Fifth, connect your systems properly. Brands try to stitch everything together with custom integrations. It sounds great… until something breaks, and you need an engineering team just to keep orders flowing. It makes sense to build an operational backbone that scales with you instead. Commerce moves fast, and your operations should, too. Fix the foundation, and growth takes care of itself.

Machine learning offers transformative predictive power across industries, but in logistics and optimization, targeted operational solutions can often deliver more immediate efficiency gains. In a recent blog, data scientists at Swiggy, India’s leading food ordering and delivery platform, shared their innovative approach to improving logistics operations. Swiggy’s business model requires in-store "pickers" to gather items for each customer order, package them, and pass them to the delivery team. As demand grew, simply adding more pickers became unsustainable. The team noticed that many orders contained similar items located near each other, but pickers often revisited the same locations for separate orders. They saw an opportunity to minimize the overall picking time. To address this, the team developed a logistics system that batches pending orders based on item similarity. Using mathematical modeling techniques, this system grouped orders with overlapping items, creating a smoother, faster picking process. This approach reduced backtracking and significantly increased picker efficiency. This is a great case study illustrating the impact of identifying core challenges and addressing them with deep business understanding and customized solutions. Enjoy the read! #analytics #optimization #datascience #solution #logistic – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gj6aPBBY    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/gVRRNfBt

What’s harder to track: a $3,000 custom guitar 🎸or a $30 pizza? (Automation Tip Tuesday 👇) A custom guitar manufacturer was manually copying order details between department spreadsheets and crafting individual customer updates. For EACH guitar. Through woodshop, paint, and assembly. 20 times a week. 😵 That's 4 hours of pure admin work that should've been building guitars. The fix? A simple automation that: ➡️ Automatically moves products between department queues when marked "complete" ➡️ Triggers personalized customer updates with progress photos  ➡️ Maintains a central dashboard for all orders The result? 💥  4 hours saved weekly  💥 Zero missed updates  💥 Delighted customers who feel like VIPs  💥 Craftsmen who can focus on crafting And the best part?  This same workflow works for any staged production process — from custom furniture to marketing agencies to home builders. Sometimes the simplest automations have the biggest impact. They just need someone to spot the pattern. Which manual updates are eating your team's time? -- Hi, I’m Nathan Weill, a business process automation expert. ⚡️ These tips I share every Tuesday are drawn from real-world projects we've worked on with our clients at Flow Digital. We help businesses unlock the power of automation with customized solutions so they can run better, faster and smarter — and we can help you too! #automationtiptuesday  #automation #workflow #customerexperience

This $1.2B firm was losing 60+ hours/month to disconnected systems. The more they grew - the slower they became. The fix? Simpler and cheaper than you'd think: Calderys operates in 100+ global markets. But behind the scenes? A mess of disconnected workflows and manual re-entry. Orders got stuck between systems. Customer complaints piled up. Teams scrambled to reconcile spreadsheets across 30+ countries. Classic enterprise paradox: success creates its own bottlenecks. But the real cost wasn’t time - it was agility. While teams cleaned up data, customers waited. While leaders hunted reports, opportunities slipped. Here’s how they turned chaos into scale... The transformation started with one principle: 👉 Compliance and ops shouldn’t require heroic effort. They should run on rails. Step 1: They mapped every workflow. Over 200 manual touchpoints emerged. One order touched 12 spreadsheets before it shipped. Step 2: They rebuilt those workflows inside Process Street. Now data flows automatically. Tasks trigger in sequence. Every step gets tracked - no chasing, no chaos. Step 3: They rolled out real-time dashboards. Country managers got hours back each week. Executives saw risk early and acted faster. 📊 In 6 months, Calderys achieved: • 60+ hours/month reclaimed • Manual errors eliminated • New market expansion without adding ops headcount • Audit prep time cut from 2 weeks to 2 hours • 40% faster employee onboarding The turning point? They stopped trying to fix everything. And started by automating one painful process: order intake. That win changed everything. They had thought the challenge was tech... It was change. Once people saw their daily pain disappear? They became their biggest advocates. And that’s what Process Street enabled: Simple, scalable, audit-ready workflows that drive real results. --- If you’re scaling fast but feel slower than ever... If operations still run on spreadsheets and hope... If audits, onboarding, and reporting all require heroics... You’re not the problem. Your system is. At Process Street, we’ve helped firms like Calderys turn operational drag into acceleration. Interested in finding out how we can apply the same for your organization? Drop me a message, or check out the link in the comments below!

Yesterday I posted a case study on how we reduced a client's time to contract and invoice by 30% and saved them 5-7 hours per week. Here's exactly how: After posting this yesterday, I'm receiving a lot of messages asking how we did it. I thought I'd make a post about this. Here's exactly how we did it: First, we mapped out the process. Before working with us, the company relied on a fragmented and unreliable system. Their order-taking, contracting, and invoicing processes lacked automation, leading to delays, errors, and a poor experience for both their team and clients. Then we optimized it. We designed a fully integrated workflow that begins with a Typeform order form, which feeds directly into Monday and Airtable to manage requests, generate contracts, and track invoices with a Softr interface for easy access to order updates and relevant documents. Then we implemented. The new system helped the sales team save approximately 5-7 hours per week by streamlining client intake and ensuring name cohesion across tools. It also reduced the time it took to send invoices and contracts by about 30%. Finally, we optimized again after implementation. Key features include automated contract and invoice generation, real-time order tracking, and a client-facing portal built with Softr. All of which improved efficiency, accuracy, and the overall client experience. The result? A centralized, user-friendly experience that eliminated manual steps and improved operational efficiency. The takeaway: Don't just automate. Optimize first, then implement, then optimize again based on real usage. Follow me Luke Pierce for more automation case studies like this.

Why can business customers track a pizza but most MSPs and VARs can't provide basic order status? Your fulfillment workflows are TOO manual: - Manual orders sent via emailed PDFs to distributors - Manual order tracking by logging into a vendor's system - Manual customer updates by copying and pasting status It might seem strange, but if we want to modernize the front-end we need to start with the backend. Here's what that looks like. 1️⃣ Real-Time Order Management: 🔹 Similar to ecommerce, you need an order management system that organizes and tracks your progress—keeping your team and customers informed. 2️⃣ Automated Procurement: 🔹 Digitally connect to distributors like Ingram Micro and TD SYNNEX to send digital orders. No more PDFs, no more manual entry. 3️⃣ Digitize your workflows: 🔹 Connect your critical apps and teams around a unified quote-to-cash workflow. This standardizes how you work, syncs data in real-time, and makes automation easier to apply. An "Amazon-like" buying experience is not an add-on, its a new way of running your business. The next time you order a pizza 🍕 I hope you think about this post.

An order is an order. Your systems are the ones treating it differently. Over the last quarter, we reviewed fulfillment performance across several brands expanding into TikTok Shop, Walmart, and additional marketplaces. The operational pattern was consistent. Every new channel quietly created a second supply chain. Here’s what the data showed. 𝟭. 𝗖𝗵𝗮𝗻𝗻𝗲𝗹-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗿𝗼𝘂𝘁𝗶𝗻𝗴 𝗹𝗼𝗴𝗶𝗰 𝗰𝗿𝗲𝗮𝘁𝗲𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗳𝗿𝗶𝗰𝘁𝗶𝗼𝗻. Orders from Shopify, Amazon, and TikTok were processed through separate workflows. Same product. Same warehouse. Different operational rules. (The system treated identical demand as three different problems.) 𝟮. 𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗳𝗿𝗮𝗰𝘁𝘂𝗿𝗲𝗱 𝗮𝗰𝗿𝗼𝘀𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀. Stock was technically available but not accessible to all channels in real time. Oversells increased while other inventory sat idle. 𝟯. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝘀𝘁𝘀 𝗿𝗼𝘀𝗲 𝗽𝗲𝗿 𝗼𝗿𝗱𝗲𝗿. Multiple routing layers, manual reconciliation, and channel-specific rules added hidden labor and processing delays. Volume exposed the inefficiency quickly. 𝟰. 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗼𝗿𝗱𝗲𝗿 𝗹𝗼𝗴𝗶𝗰 𝗿𝗲𝘀𝘁𝗼𝗿𝗲𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲. The operators scaling cleanly did something different. All orders are entered into a single fulfillment system first. Channel became metadata. Not the routing logic. Here’s the uncomfortable takeaway. If your operations treat Amazon, TikTok Shop, and Shopify as separate supply chains, your infrastructure is working against you. Stop designing fulfillment around channels. Start designing it around orders. Volume multiplies complexity faster than revenue. #DTCGrowth #OperationalExcellence #SupplyChainStrategy #EcommerceLeadership #ScalingSystems

Stop Automating Chaos: Why Process Optimization Must Precede Technology Buying expensive software to fix a broken workflow is a classic error. It happens constantly. Executives sign a contract for a new ERP or CRM and expect immediate results. The results never arrive. Instead, confusion grows. Automating a bad process does not yield efficiency. It yields high-speed chaos. We call this "paving the cowpaths". You solidify bad habits in code, making them expensive and difficult to change later. Your digital strategy must follow a strict sequence. People define the culture. Processes define the work. Technology supports both. You must map the actual reality of your operations first. Talk to the teams doing the work. Use Design Thinking to see the friction points from the user's view. Apply Lean principles to cut waste and simplify steps. Only then should you introduce any tool like AI. Technology amplifies what already exists. If your backbone is weak, software breaks it. If your process is solid, technology scales it. Reduce your operational risk by focusing on the workflow before the tool. A clean process builds the stability required for strategic growth. Stop looking for a software savior. Let Digital Transformation Strategist optimize your operations first.

Redesign Before You Digitize. One of the biggest mistakes I see in digital transformation? Trying to automate broken processes with shiny new technology. Before rolling out a new ERP, WMS, or eCommerce platform, every distribution business should pause and ask: 👉 “Are our current workflows worth automating?” Because if you digitize inefficiency, you just create faster inefficiency. Here are 5 best practices we recommend before introducing new technology: 🧩 1️⃣ Map Your Current State Document how work actually happens—not how you think it happens. Include every handoff, delay, and manual step. Visibility drives improvement. ⚙️ 2️⃣ Identify Waste and Bottlenecks Look for redundant approvals, paper-based tasks, or duplicate data entry. Use Lean or Six Sigma tools (Value Stream Mapping, 5 Whys) to pinpoint friction. 🔁 3️⃣ Redesign Around Value Every process should serve a clear purpose: customer value. Ask: does this step add value, or does it just make us feel busy? 💬 4️⃣ Involve the Frontline Early The best process insights come from the people doing the work. Co-design solutions with your warehouse, purchasing, and sales teams—they’ll spot what leadership misses. 📊 5️⃣ Validate Before You Automate Pilot the redesigned process manually or with simple tools. If it works in Excel or on paper, then it’s ready for ERP automation. Technology is an amplifier—it magnifies whatever foundation you build on. If your foundation is solid, ERP accelerates growth. If it’s weak, ERP just exposes the cracks faster. At Scaled Solutions Group, we help distributors optimize people, process, and systems—so technology becomes the final step, not the first one. Have you "SCALED"? https://lnkd.in/g3peD894 #ProcessImprovement #DigitalTransformation #EpicorP21 #DistributionERP #LeanSixSigma #ContinuousImprovement #ChangeManagement #OperationalExcellence #ERP #WarehouseManagement #ProcessRedesign #ValueStreamMapping #BusinessProcessOptimization #ScaledSolutionsGroup #PeopleProcessSystems