Real-world warehouse stocktaking comic showing the relatable challenges of counting inventory and cycle counts.

Humor in Inventory

Counting stock is genuinely funny sometimes, in a way that only people who've done it understand. We've been adding comics to the Yuneva site — real scenarios, not clip art of smiling warehouse workers. If you've ever sworn at a cycle count, some of these will hit close to home.

Warehouse AI illustration showing an AI dashboard generating decisions while workers struggle with outdated inventory and warehouse data in slot A-14.

How is AI changing supply chain automation in manufacturing and logistics?

Every deck I've seen this year has an AI slide. Every warehouse floor I've walked this year has a corner where the AI's decisions go to die. The tech isn't the problem. The problem is deploying it on top of data nobody has cleaned since 2019, and then reporting accuracy back to the board. AI is going to change manufacturing and logistics. It hasn't changed slot A-14 yet.

Cold chain warehouse scene showing temperature logs and physical probe readings being compared while temperature-sensitive food products remain on the loading dock.

Why is cold chain logistics so important for food businesses?

Cold chain isn't really about temperature. It's about the gap between what the log says and what the probe says, and what happens in the two hours you spend arguing about it on the dock. Food businesses live or die in that gap. One warm hour on a pallet of poultry doesn't show up on a spreadsheet. It shows up six days later, in a hospital, in a recall notice, in a phone call nobody wants to make. The log is a story. The product is the truth.

Supply chain planning illustration showing planners comparing ERP lead times with actual supplier delivery times and increasing safety stock to hedge against delays.

Safety stock when your lead times keep lying to you

Every planner I know has two lead time numbers. The one in the ERP, and the real one they use to sleep at night. The gap between them is the size of your safety stock. And it grows every time a supplier says "next week" and means "next quarter." At some point you stop calling it planning and start calling it hedging.

Warehouse inventory counting illustration showing additional staff and tighter scheduling failing to reduce inventory variance caused by an underlying broken process.

A year ago I'd have blamed understaffing. Now I'm not so sure

A year ago I was sure the count problems were a headcount problem. Hire two more, tighten the schedule, done. We hired. We tightened. The variance didn't move. Turns out you can staff a broken process all the way up and still land at 8%. At some point you have to admit the people weren't the bug.

Warehouse operations illustration showing receiving, inventory, and fulfillment teams giving conflicting answers about a missing pallet despite having separate roles.

What is the difference between supply chain, operations, and logistics?

Every few months someone new joins and asks the question. And every time, three different people give three different answers, all correct, none matching. The org chart says these are separate functions. The missing pallet says otherwise

Warehouse monthly inventory process showing receiving freezes, blind counts, variance checks, reconciliations, and sign-offs alongside undocumented tribal knowledge.

How to run a monthly inventory: the conditions and process that actually work

Every warehouse has a monthly inventory process. Most of it is written down. The parts that actually make it work usually aren't. Freeze receiving. Reconcile open transactions. Blind counts. Variance thresholds. Sign-off. On paper it's clean. In practice it's a group of people asking Dave what he did in 2019 and whether we're still doing it that way. The process works when the rules are specific, the tolerances are written, and nobody has to guess what 'closed out' means.

Last-mile delivery illustration showing a tracked package reaching a city delivery van while the driver struggles with a missing gate code, faulty buzzer, and difficult final delivery access.

Why Last-Mile Delivery Delays Still Happen

We can pinpoint a package from a port in Shenzhen to a sorting hub in Memphis to a van in Queens. Then the driver spends 22 minutes looking for a buzzer that doesn't work. The tracking stack is incredible. The last 400 feet remain undefeated. No amount of real-time GPS fixes a gate code nobody wrote down, an apartment number that was renumbered in 2011, or a dog. Advanced visibility is not the same as advanced arrival.

Food business founder working with a 3PL warehouse handling lot codes, temperature zones, FIFO inventory, and logistics operations.

How can third-party logistics help food brands focus on growth?

Every food founder I've met has a version of the same story. They started because they loved the product. Then one day they realized they'd spent the whole quarter arguing with a lift-gate driver and hadn't touched a recipe in weeks. A good 3PL isn't just outsourced storage. It's the thing that lets the founder go back to being a founder. Lot codes, temperature zones, FIFO, chargebacks — someone else's problem now. The growth doesn't come from the 3PL. It comes from getting the founder's brain back.

Supplier screening illustration showing a damaged pallet at a warehouse dock and procurement teams evaluating supplier reliability through references and factory checks.

Why is supplier screening important in global supply chains?

The supplier's website was beautiful. The pallet is on fire. These two facts are related.

Supplier screening is one of those things that feels bureaucratic until the day it very much doesn't. A phone call, a reference check, a factory visit — cheap compared to what shows up on the dock otherwise.

Warehouse returns process illustration showing damaged, unlabeled returns awaiting inspection while outdated WMS statuses cause inventory discrepancies.

Returns processing that doesn't wreck your inventory accuracy

Returns are the part of the warehouse nobody wants to own. They come in dirty, half-labeled, sometimes without an RMA, and they sit in a tote until someone braver than you decides what shelf they belong on. Meanwhile the WMS quietly rots. Your cycle counts drift. And by Q4 nobody remembers what the variance actually was. The fix isn't a bigger returns team. It's making the returns process a real process, with real statuses, on the day the tote lands.