Built by an operator who's spent a decade running the same supply chains, managing the same contract manufacturers, and fighting the same spreadsheets you're fighting now.
ModulusOps builds custom operations platforms for mid-market CPG and supplement companies — connecting your systems, automating forecasting and planning, and deploying AI agents that handle the work your team shouldn't be doing manually.
Mid-market CPG companies run on a stack of capable tools. The problem is never the platforms themselves — it's that nothing connects them intelligently. So your team fills the gaps manually.
These aren't edge cases — they're the operational reality for most mid-market CPG brands. Each one has a measurable cost.
Your demand plan lives in a spreadsheet that one person maintains. It has 47 tabs, a macro nobody fully understands, and it's the most mission-critical system in the company.
Someone on your team starts every day pulling data from Shopify, Amazon, the 3PL portal, and two other systems — then spends an hour reconciling it in a spreadsheet before anyone can see what happened yesterday.
Someone asks "what's our days of supply on the top 20 SKUs?" and the answer takes two days to compile because the data lives across three systems and a shelf in the warehouse.
Your "demand plan" is last year's sales with a growth factor. It doesn't account for channel mix, promotional spikes, kit component demand, or seasonality — because building that into a spreadsheet would take a PhD.
Lead times have shifted but nobody noticed until a PO arrived late. Prices crept up 8% over two years but there's no systematic tracking. MOQs force overbuys that tie up working capital in slow-moving stock.
You hired an ops manager for strategic supply chain work. They spend 60% of their time on data entry, report building, and email chains about order status — because the systems don't give them what they need automatically.
Every engagement starts with understanding your operations reality. Then I build the specific systems and automations that eliminate the drag between your data and your decisions.
A data-driven diagnostic of your operations with quantified dollar costs for every gap. Maps your systems, your workarounds, and the decisions that are taking too long or being made with incomplete data.
Purpose-built operational systems that replace your spreadsheet workarounds and connect your existing platforms. Custom workflow automations, intelligent dashboards, and AI-native tools designed around your exact operations.
Continuous access to your intelligence layer plus strategic advisory. The systems get smarter every month as they learn your business patterns. Your competitive advantage compounds over time.
I analyze your actual data — sales, inventory, supplier performance, system architecture — not just interview stakeholders. This reveals the gap between how leadership thinks operations work and how they actually work. Every company has this gap. It's usually bigger than expected, and the cost is usually quantifiable.
"Your forecasting needs improvement" doesn't drive action. "Your current stockout pattern is costing $150K/year in lost revenue and BSR recovery" does. Every finding gets quantified — the cost of the workaround, the hours burned on manual processes, the dollars at risk from incomplete visibility.
Purpose-built operational systems designed around your exact workflow, SKU structure, and channel mix. These connect your existing platforms, automate the manual processes your team maintains in spreadsheets, and surface decision-ready insights. AI is the foundation — demand models learn your patterns, agents monitor your contracts, automation handles your exceptions.
These systems get smarter over time. More data means better forecasts. Pattern recognition improves. The gap between you and competitors still pulling reports from three systems into a spreadsheet widens every month. Ongoing advisory ensures the intelligence layer evolves as your business grows.
When I build operational systems, AI isn't a feature checkbox bolted on at the end. It's the foundation that makes every other component smarter.
ML models trained on your specific sales data, seasonality patterns, and promotional history. Not generic algorithms — models that learn the unique dynamics of your business, including kit component demand, channel-specific behavior, and promotional response curves.
AI agents that continuously watch for the things your team catches too late: supplier lead times drifting, contract terms being violated, inventory positions approaching risk thresholds, costs creeping above benchmarks. Proactive alerts, not reactive firefighting.
Not just scripts that move data between systems. Context-aware automation that handles the exceptions and edge cases which make simple automation break. The reconciliation, reporting, and data processing your team does manually — handled automatically with the nuance it requires.
I spent over a decade directing operations and supply chains for high-growth CPG brands — supplements, food, and wellness — across Amazon, DTC, and retail channels. I've built and managed processes across manufacturing, logistics, demand planning, and quality, from scratch and at scale.
I got frustrated with the same gap my clients face: capable platforms that don't connect, teams drowning in manual work instead of building for growth, and operational intelligence that lives in someone's head or a fragile spreadsheet. So I started building the layer that was missing — ML-powered forecasting, unified data visibility, proactive agents monitoring KPIs, and workflow automation that gives teams their time back. ModulusOps is where operational judgment meets technical capability.
The Operations X-Ray maps every spreadsheet, manual process, and data gap in your operations — and puts a dollar figure on each one. You'll know exactly where the drag is and what it costs to eliminate it.
Book a Discovery Call30 minutes. No pitch deck. Just a conversation about your operations.