Inventory Splitting Across Channels
- Dec 5, 2025
- Omnichannel
Most brands reach a turning point where one shared inventory pool simply is not enough. Shopify wants availability for a promotion. Amazon MFN orders surge without warning. Wholesale partners expect full shipments on time. Marketplaces spike at the worst possible moment. Without inventory splitting across channels, all of them fight over the same units, and your team ends up doing damage control instead of building momentum.
Search trends tell the same story. Operators look up phrases like reserve stock for retail and ecommerce, stop Amazon from draining D2C inventory, and separate allocations by channel. These are symptoms of the same problem. The brand is growing, but the infrastructure behind it is still thinking like a single-channel shop.
When every channel pulls from one shared bucket, the failures follow a familiar pattern. A retailer PO drains stock needed for an ecommerce launch. A marketplace surge catches the operation off guard and leaves wholesale short. Shopify oversells because Amazon MFN consumed the last of a SKU. None of these outcomes are shocking. They are the natural result of not telling the system how to prioritize channels.
Maureen Milligan sees these patterns constantly in brands moving to G10. She said, "Most of the customers who come to us from another 3PL, their challenges have always been access to their data, order accuracy and efficiency, and basically just meeting the committed requirements." When priorities are unclear, every channel turns into a crisis at the worst possible time.
Inventory splitting across channels only works when all channels share the same foundational truth: one unified, real-time inventory system. Splitting does not mean duplicating stock. It means assigning rules on top of one accurate pool. Shopify, Amazon, Walmart, wholesale, marketplaces, and D2C all read from the same source of truth. The warehouse management system knows exactly how many units exist before it divides them up by priority.
Connor Perkins explained why this matters. He said, "Our clients get best-in-class visibility and transparency. They can see their daily orders, they can see KPIs, and they can see historical transactions." You cannot split what you cannot see. Visible, accurate inventory is the foundation that makes channel-level logic possible.
Inventory splitting requires a serious warehouse management system. A WMS must track every unit, assign channel priorities, and reserve inventory based on rules instead of improvisation. A weak system creates channel conflict. A strong one eliminates it.
Bryan Wright, who built the WMS powering G10, said it plainly. "A bad WMS system will not track inventory 100 percent as it should." Splitting inventory across channels depends on that accuracy. Bryan also explained the system's retail-first design. "We can create the Walmart-specific shipping label, send them Walmart-specific EDI transaction, pick it in a specific way for Walmart." The same engine that handles strict retailer rules can also protect inventory reserved for marketplaces and D2C.
Even the best digital allocation system can fail if warehouse movement is chaotic. That is where robotics tie the physical world back to the data. When picking paths are predictable, the WMS can trust the inventory picture enough to split it intelligently.
Holly Woods described G10âs Zebra robots. "The robot is round, it looks like an industrial Roomba," she said. Those robots guide carts along optimized routes, reducing mispicks and wasted walking. By standardizing physical movement, automation keeps the allocation model and the real inventory aligned.
Once inventory is split by rules, not gut feelings, every channel gets healthier. Retailers have their allocations protected. Shopify and D2C customers see accurate availability. Amazon MFN orders ship without cannibalizing other commitments. Marketplaces surge without unexpectedly draining supply.
Joel Malmquist described what clean execution looks like in practice. "We are the ones shipping the orders for these brands," he said, explaining how tracking flows into Shopify and other systems automatically. That operational consistency is only possible when inventory is split cleanly and updated constantly.
A smart inventory splitting model assigns priority based on business logic. Retailers follow routing guides and delivery windows. D2C follows same-day or next-day cutoffs. Marketplaces follow performance SLAs. Amazon MFN follows speed. Instead of letting channels collide, splitting turns demand into a controlled sequence of decisions grounded in rules instead of urgency.
Joel outlined the clarity behind one of these rulesets. For D2C, he said, "If an order comes in before noon, we ship it the same day. If it comes after noon, it goes the next day." Those rules let the WMS protect enough inventory for each channel without delaying any of them unnecessarily.
Inventory splitting is not just a reactive system. It uses forecasting to protect upcoming commitments. Wholesale POs get future allocations. D2C campaigns get reserved units. Marketplaces receive buffers for spike behavior. This prevents emergencies before they start.
Holly explained the planning behind these strategies. "We do forecast models, staffing models, and we audit inventory, equipment," she said. Forecasting only matters when the allocation engine can act on it in real time.
When multiple channels spike together, allocation rules prove their worth. Without splitting, chaos wins. With splitting, the system chooses intentionally instead of reacting blindly.
Joel shared a perfect example. A client asked whether G10 could handle a case where "Target drops 10 POs and gives us 48 hours to turn it around." Joel said, "Yes we can." That confidence comes from a system that can route stock, labor, and capacity across facilities based on priority instead of panic.
Customer service teams struggle when multiple systems disagree about stock. Splitting inventory fixes those mismatches by ensuring that what is promised to each channel is actually available.
Joel explained how unified support works. "Every single account at G10 has a direct point of contact." That point of contact sees inventory allocations across all channels in one place. When they answer questions, they are looking at one unified operational picture, not multiple contradictory ones.
Brands rarely stop at two or three channels. Marketplace expansion, retailer growth, and international launches all bring new demand surfaces. When inventory splitting exists already, these new channels slot into the existing model without creating chaos.
Jen Myers sees this often. "Someone might be a Shopify brand, so they are only selling D2C, and their path to growth might be to start selling on Amazon next." With inventory splitting in place, adding Amazon is not a rupture. It is just another channel added to the ruleset.
Brands that invest in inventory splitting across channels share one trait: they think like builders. They expect more channels, more complexity, and more growth. They want systems that scale with ambition instead of resisting it.
Mark Becker said it best. "At the end of the day, all we are is builders. The two of us love to build." Splitting inventory across channels gives builders a structure strong enough to support whatever they build next.
If channels currently cannibalize each other, if your team still allocates stock manually, or if oversells and shortages feel inevitable, the issue is not demand. It is the lack of a channel-aware inventory system. Inventory splitting across channels fixes that by adding structure to growth.
With unified inventory, a strong WMS, and clear rules that reflect business priorities, your brand can add channels confidently instead of nervously. You stop explaining what went wrong, and you start controlling what goes right.
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