Breaking Down Silos Between Marketing and Inventory Teams

Marketing planned a big push. Planning placed a lean buy. Nobody compared notes, and the bestseller sold out on day two of the campaign with three weeks of budget still committed. Neither team made a bad decision on its own terms. That is precisely what a silo is, and it is costing both of them.

Breaking silos between marketing and inventory teams means giving both sides shared data, a shared planning cadence, and aligned goals, so promotions and stock decisions are made together instead of colliding. The problem is rarely disagreement. It is that the two decisions were never in the same room.

Key takeaways

• Nobody is being unreasonable: both teams optimise correctly for the metric they are given, and the metrics conflict.
• Shared data is necessary and not sufficient: a dashboard both teams can see changes nothing if neither is required to look.
• The cadence is the actual fix: a recurring half-hour where both plans are compared beats any amount of tooling.
• Goals are what make it stick: if marketing is measured on revenue alone, it will keep promoting what sells regardless of stock.

Why do marketing and inventory teams end up siloed?

Because they work from different data, on different cadences, toward different metrics. Marketing chases growth and is measured on revenue and return on ad spend. Planning protects cash and service and is measured on stock levels, turns, and availability. Both sets of incentives are reasonable. Followed independently, they produce decisions that collide.

Different data, different cadence, different metrics

Marketing lives in ad platforms and analytics tools, working on campaign timelines measured in days. Planning lives in the storefront back end, a warehouse system, and a purchasing spreadsheet, working on lead times measured in weeks or months. Neither system contains the other's constraint, so neither team can see the collision coming even in principle. Add that marketing plans a campaign three weeks out while planning committed the buy nine weeks ago, and the two are making interdependent decisions at different points in time with no mechanism for the earlier one to inform the later.

Where the collision actually shows up

It surfaces in two recognisable events. The first is the sold-out campaign: budget committed behind a product that runs out mid-flight, so spend continues driving traffic to a page that cannot convert. The second is the overstock from an over-promised launch: planning bought to a volume marketing forecast, the campaign underdelivered or shifted, and the stock is now sitting. Both are visible after the fact, both are attributed to whichever team is nearest, and neither is really that team's failure.

How do you break down the silos?

By putting both teams on one shared view, setting a joint cadence, and aligning the goals. Three components, and they have to arrive in that order because each depends on the previous one.

Shared data: one view both teams trust

Both sides need to see the same numbers: current stock cover per product, incoming purchase orders with dates, ad spend and performance per product, and margin after acquisition cost. What matters is less the tooling than the agreement that this view is authoritative. A dashboard nobody trusts gets ignored in favour of each team's own export, and you are back to two versions of reality with a dashboard in between. Agreeing which system is the source of truth is the unglamorous prerequisite.

Shared cadence: comparing the two plans on a schedule

This is the component that does the actual work, and it is the cheapest. A recurring meeting where the campaign calendar and the stock position are compared, product by product for anything carrying meaningful spend, catches nearly every collision described above. Thirty minutes a fortnight is enough for most growing brands. The format matters less than the recurrence: what kills this is not a bad agenda but a meeting that gets skipped in busy weeks, which are exactly the weeks the collision happens.

Aligned goals: rewarding revenue you can actually fulfil

Data and cadence both decay unless the incentives support them. If marketing is measured purely on revenue or return on ad spend, it will keep promoting whatever converts, because that is the job it was given. Adding a shared measure, contribution from in-stock products, or a penalty for spend that ran against out-of-stock items, changes the behaviour without anyone needing to be persuaded. The goal is not to make marketing responsible for inventory. It is to stop measuring them on a number that ignores it.

How does this connect to S&OP?

Bringing marketing into the planning rhythm is S&OP extended to demand creation. The classic sales and operations planning cycle reconciles demand, supply, and finance on one committed plan. What it often leaves out is the team actively generating the demand, which for an eCommerce brand is the team spending the acquisition budget.

Including marketing turns a reconciliation into something closer to a full loop: the demand plan reflects campaigns actually scheduled rather than campaigns inferred from history, and the campaign calendar reflects stock actually arriving rather than stock assumed. For a brand already running a monthly consensus meeting, this is one more seat at a table that exists. For a brand not running one, the marketing-and-inventory conversation is often the easiest place to start, because the pain is the most visible. What the full cycle looks like is covered in what S&OP is.

Conative AI is built for that shared view: product analytics show which products are earning margin and which are consuming cash, alongside a demand forecast reading live marketing signals, ad spend, sales velocity, and campaign events, so both teams are reading one picture rather than reconciling two. See how the shared view works on the marketing solution page.

Frequently asked questions

Who should own the marketing-inventory relationship?

Someone has to convene it, and in a growing brand that is usually whoever owns planning, since they hold the constraint that binds. Ownership means calling the meeting and keeping the record, not making both teams' decisions. Undefined ownership is the most common reason the cadence quietly stops.

What data should marketing and inventory teams share?

Four things: how many weeks of cover each product has, what is arriving and when, what each product is costing to advertise and returning, and what margin survives after that cost. Those four cover almost every decision the two teams make jointly. Anything beyond them is refinement and usually adds maintenance rather than clarity.

How often should the two teams meet?

Fortnightly works for most growing brands, monthly at minimum, aligned with the buying cycle. What matters more than frequency is that the slot survives busy periods, since peak season is when the collisions actually happen and also when meetings are most likely to be dropped.

What metrics align marketing and inventory goals?

Any measure that makes fulfillability part of marketing's scorecard. Contribution from in-stock products is the cleanest, since it counts only revenue you could actually deliver at a margin. Some brands add a visible measure of spend that ran against out-of-stock items, which tends to change behaviour quickly.

How do shared tools help break these silos?

By removing the excuse of not knowing. A shared view of stock, spend, and margin means neither team has to request the other's data, which is where most cross-team friction actually lives. Tools cannot create the conversation, though. Without a cadence, a shared dashboard just gets ignored by two teams instead of one.

Is this part of S&OP?

It is a natural extension of it. Classic S&OP reconciles demand, supply, and finance; including marketing adds the team generating the demand. For brands already running the cycle it is one more participant. For brands not running one, this conversation is usually the easiest starting point.