Supply Chain Automation, Answered.
What is supply chain automation?
Supply chain automation uses technology including no-code platforms, system integrations, AI, and agents AI to replace manual, repetitive tasks across your operations. This includes connecting data entry, order processing, inventory management, shipment tracking, invoice matching, and reporting into workflows that run without someone doing them in a manual and time consuming way.
How is this different from hiring more operations staff?
More people add capacity only when the system works. Once workflows, ownership, and handoffs are clear, teams move faster without increasing headcount. Fix the system first.
How long does it take to see results?
Most businesses see their first workflows live within 4–6 weeks and measurable results (in time spent, reduction in errors, etc.) within 4–8 weeks. Quick wins: Connected reporting, data flow integration, alert systems that consume time, frequently repeated often deliver the fastest value.
What problems faced by businesses can be solved?
Regain clarity across supply chain operations by fixing how work moves between teams and systems. The focus is on ownership, visibility, and decision flow - so leadership spends less time unblocking issues and more time running the business.
Who is this a good fit for?
Growing businesses where execution has become harder to manage: where leadership feels pulled into day-to-day problem-solving, the same issues keep recurring, and where the team is busy but progress feels slow. If your supply chain runs on spreadsheets, email, and manual workarounds, there's a faster way.
What happens after the engagement?
Our team gets training, documentation, and everything they need to run the system independently. Long term support is available as an ongoing partner for maintenance, updates, and new projects - but that's always your choice.
Will this require replacing our current systems and learning new tools?
Usually not. Automation brings together the tools your business already uses. The goal is to connect your different systems to allow each of them to run on their own (based on your own business processes and requirements). With this, reduce time spent copy-pasting data across platforms and let systems run independently while increasing reliability and remove overlap. If a tool genuinely can't support the workflow or complexity your operation needs, a replacement implemented for you. When a new platform is introduced, the handover includes hands-on training and documentation. The goal is for your team to feel confident, not overwhelmed.
We tried automation before and it failed. Why would this be different?
Most automation projects fail because they skip Discovery: jumping straight to building without understanding how the operation actually works. Our Discovery phase starts with a structured deep-dive that documents every process, its frequency, duration, and manual effort. That operational baseline becomes the foundation for everything that follows: automation designed around real workflows, not assumptions.
What does a typical engagement look like?
It starts with a 30-minute strategy call to see whether automation makes sense. If it does, every engagement follows a three-phase Handshake Protocol: 1) Discovery: A structured deep-dive into your processes, volumes, and workflows that produces a quantified operational baseline and a prioritised automation roadmap. 2) Design: Solution architecture with ROI projections measured against that baseline 3) Simplify: Deployment, training, and handover. Take a look at our Services Page to learn more about the Handshake Protocol.
What does my team get after the rebuild?
A system of record that everyone trusts. Reliable handoffs between teams and systems. Dashboards that show what's actually happening. Less manual work on the tasks that were eating your team's time. And full documentation so the new processes actually stick.
What tools and platforms are used to Automate?
Different no-code automation platforms such as n8n, Make, Zapier, etc. lay the ground work to connect your tools. With these platforms we integrations with most platforms including: ERP systems (Odoo, SAP, NetSuite, etc.), warehouse management systems, logistics platforms, e-commerce tools (Shopify, WooCommerce), communication platforms (Slack, WhatsApp, etc.), and more.
What's the difference between automation and AI?
Automation follows rules you define - if this happens, do that. It's predictable, fixed-cost, and works perfectly for repetitive tasks like syncing inventory, generating purchase orders, or routing shipment alerts. AI adds intelligence on top: it can read documents, classify data, detect anomalies, and make judgement calls that rule-based automation can't. The key difference is cost: automation runs at a fixed cost once it's built, while AI typically costs per execution because each task uses processing power. It's best to starts with automation and only layers in AI where it genuinely adds value - never as a default.
When does AI make sense in operations?
AI works best after your workflows and data are consistent. At that point, it can reduce time spent reading, sorting, summarising, and pulling key details into reports. Typical use cases include extracting data from supplier invoices, classifying documents by type or urgency, detecting anomalies in shipment data, and generating summaries from operational reports. AI does not replace clear ownership, clean data, or a stable workflow. When the basics are strong, AI becomes a powerful add-on that saves time without adding confusion. The cost scales with usage, so it's most effective on high-value tasks where accuracy and speed matter more than the per-execution cost.
How does agentic AI work in supply chain operations?
Agentic AI takes automation a step further. Instead of following fixed rules or processing single tasks, an agentic AI agent can plan, reason, and act across multiple systems autonomously. Think of it as a digital team member assigned to a specific operational area. For example, without human intervention, an agentic AI agent could monitor supplier performance data, detect an SLA breach, evaluate alternative suppliers, draft a purchase order for the best option, and notify your team. These agents are built using specialised platforms such as Antigravity, Claude Code, etc., and are only deployed after the base processes and data flows are stable. Agentic AI is higher-cost per execution than standard automation, but it handles work that would otherwise require a dedicated person.
What determines the cost of automating a process?
Every automation is different, so each one is priced on what it needs to do. The price depends on things like how many systems need connecting, how many tasks make up the process, how straightforward it is or how many exceptions and approvals it has to handle, which tools are used, and whether AI is needed to interpret information such as supplier emails or documents.
What does a typical engagement cost?
It starts with a free 30-minute strategy call. We look at where your operation loses time and what the challenge is. If automation is the right fix, you get an estimate of what it would cost and the return you can expect, based on the issues you’ve described. Discovery and Design, the first two steps of our Handshake Protocol, are where the project officially starts, and they are paid. We deep-dive into your actual process: map it properly, get your data in order, and design a solution that resolves your challenges. You come away with a clear, data-backed picture of where your operation loses time and money, what needs to change, and a solution designed around your existing tools. Simplify, the third step, turns that design into a working system: built, tested and handed over to your team. Automating a single task starts at €1,480. Automating a whole process, such as forecasting and order management, starts at €3,200 and typically runs up to €8,000. Small add-ons, such as alerts or daily summaries, are €480 each when added to a project. See the pricing page for what each option includes.
View Pricing →Why not hire a developer or use Zapier directly?
You can. And for simple automations, that might work. But supply chain automations require understanding operational context: which processes depend on each other, where data flows break down, and how to design workflows your team can maintain. The workflows that we build together bring the Supply Chain expertise with technical knowledge so the automation solves the problem in the right way.
How is SimplifySC different from traditional consulting firms?
Traditional consulting firms charge for strategy decks and recommendations. SimplifySC builds and delivers working automation- systems your team can run independently. No ongoing dependency, no retainer lock-in. You get a quantified operational baseline, working workflows, training, and full handover.