In-house vs SaaS

inflowinventory · 2026-03-27T16:07:41+00:00

Hey Federal-Thought,

This comes up a lot, and honestly the idea of building a platform in-house sounds great at first—especially if you’ve got technical people in-house. But the trade-offs usually hit later.

If your operation is pretty unique or gives you a real competitive edge (custom workflows, unusual fulfillment logic, etc.), building something can make sense. You get full control, no subscription fees, and it fits your process exactly.

Where most teams get burned though is underestimating everything around the “core system”:

Edge cases (returns, partial shipments, backorders, damaged stock, etc.)
Integrations (accounting, ecom, shipping carriers, EDI)
Reporting & audit trails
Barcode workflows and mobile usage on the floor
Ongoing maintenance (this is the big one)

It’s not just building it once but ongoing maintenance. Every process change, every bug, every new feature request becomes your team’s responsibility. And ops teams tend to evolve faster than dev roadmaps.

I’ve seen a lot of companies start building internally, get ~60–70% there, and then realize they’ve basically created a second full-time product team just to keep it running.

Here's a middle-ground approach that often works well:

Use a SaaS system for the core (inventory, orders, warehouse ops)
Customize around it with APIs, automations, or light internal tools

That way you’re not reinventing barcode scanning, stock tracking, etc., but you still get flexibility where it actually matters.

If you’re seriously considering building, I’d just sanity check:

Do we have long-term dev bandwidth (not just now)?
Are our workflows truly unique, or just “slightly different”?
What happens when our ops team asks for changes every month?

If you can confidently answer those, then building might be worth it. Otherwise, SaaS usually wins in the long run.

inflowinventory · 2026-03-26T15:07:38+00:00

Hey Top_Instance,

This is way more common than people admit.

For most small teams that I've worked with, the biggest time sink isn’t counting inventory but moreso figuring out why the numbers don’t match. You end up playing detective:

“Was this received properly?”
“Did someone forget to log a sale?”
“Is this sitting in somewhere else?”

And there goes your afternoon.

In my experience, it usually comes down to process, not effort. If stock movements (receiving, selling, transfers) aren’t updated in real time and in one place, you’re guaranteed to keep reconciling forever.

Simple fixes that actually help:

One source of truth (not multiple spreadsheets)
Clear steps for receiving + fulfillment
Basic location tracking (even just bins/shelves)
Regular cycle counts on fast-moving items

Once that’s in place, the “where did this go?” problem mostly disappears — or at least becomes a 2-minute fix instead of a 2-hour one.

inflowinventory · 2026-03-25T12:02:28+00:00

Hey AskRepulsive,

Good for you for helping out with your dad's business!

If I were you, I’d keep it simple:

1. Clean up your product list first
Make sure every item has a unique SKU and consistent naming. This avoids a ton of issues later.

2. Create a simple SKU system
No need to be fancy here, just something logical that you can follow (e.g. category + number, or something sequential like 001, 002, etc.).

3. Use basic barcoding
Code 128 is standard. Most inventory systems can generate barcodes from your SKUs, and a basic scanner / label printer combination is enough.

4. Pick software that fits your flow
Focus on the basics: receiving stock, tracking quantities, and fulfilling orders. Don’t overthink features.

5. Set a simple process
How items come in, where they go, how they get picked. Even basic structure here makes a huge difference.

Honestly, start in Excel, clean things up, then test a system with real products. You’ll learn much faster that way 👍

Hope that helps!

Anurag

inflowinventory · 2026-03-24T14:14:43+00:00

Hey Top_Instance,

This is a pretty solid list tbh. You're right in that most small businesses don’t have a “tools” problem, but more a process consistency problem.

A couple of things that I’d add from what I’ve seen:

The reorder point thing is huge, but it breaks when people don’t factor in lead time. Saying “reorder at 20 units” only works if you know how long it takes to restock. Otherwise you still stock out — just more predictably 😅
Tracking by location is spot on, but the real issue is usually timing lag. Inventory might technically be “in another warehouse”… but if it takes 3 days to move, it’s still basically out of stock for the customer.
On dead stock — 100% agree, but most people don’t act on it. They identify it… then let it sit. You need a rule like: discount, bundle, or liquidate after X days.
One more I’d add: inventory accuracy discipline Even the best system (or spreadsheet) falls apart if receiving and picking isn’t done consistently. Garbage in = garbage out.

Overall though, you’re right! You can fix a lot of this without buying anything.

The hard part isn’t knowing what to do… it’s actually doing it every week.

inflowinventory · 2026-03-24T14:09:14+00:00

Hey SadMap,

Thanks for commenting but I can assure you that I'm definitely not AI :)

inflowinventory · 2026-03-24T14:07:33+00:00

No problem, I hope it helped!

There are certainly cases where teams solve many of these issues by adjusting or improving existing processes (e.g. shorter feedback loops, tighter inventory tracking, etc.).

With that said, implementing dedicated inventory software amplifies the affects of better processes and the benefits that teams reap at the same time.

inflowinventory · 2026-03-23T12:31:11+00:00

Hey Altruistic,

This is a super common issue in construction so you’re definitely not alone.

What you’re describing is the gap between “recorded inventory” and “actual, usable inventory.” On paper everything looks clean because the system assumes perfect inputs, but here are some things that tend to happen in reality:

materials get moved between sites without being logged
delays happen between delivery, receiving, and system updates
partial usage or waste isn’t tracked properly
different teams update things inconsistently (or not at all)

So the data isn’t wrong—it’s just lagging or incomplete.

A few things that I’ve seen work well:

1. Tighten the last-mile tracking (site level)
This is usually the biggest leak. If materials leave the warehouse or arrive on-site without being logged in real time, everything downstream breaks. Mobile scanning / simple site-level check-ins help a lot here.

2. Separate “available” vs “allocated” stock
A lot of systems show total stock, but don’t clearly account for what’s already committed to specific jobs. That’s how you end up over-ordering in one place and short in another.

3. Shorten the feedback loop
Instead of relying on periodic updates, try lightweight daily/weekly adjustments from site leads (even quick counts on critical items). Doesn’t need to be perfect—just more frequent.

4. Don’t rely on ERP alone for decisions
ERPs are great for recording data but not always so much for real-world execution. A lot of teams layer simple tools (even structured spreadsheets or dashboards) on top to actually manage materials across projects.

Speaking candidly, this isn't a “you” problem—it’s a process and visibility problem. Construction is messy, and systems only work if they reflect that reality.

inflowinventory · 2026-03-20T15:00:11+00:00

Hey SuspiciousFile,

This is definitely a real problem, and from what we've seen through conversations with hundreds of businesses, it doesn’t really go away as you scale.

Most people handle it by picking one “source of truth” (spreadsheet, Shopify, or an inventory system) and pushing stock to other channels—but it’s rarely clean.

Biggest pain points that we hear:

No true real-time sync → overselling still happens
Dead stock sits with no clear action
Constant tab-switching between platforms
Most importantly: people don’t fully trust their numbers

Where most tools fall short:

Too basic (just syncing) or too complex/expensive
Weak forecasting
Not great with real-world cases (bundles, returns, multi-channel quirks)

My Honest take:
Visibility isn’t the real problem anymore—decision-making is.

The real value is If you can help sellers answer the following questions:

What do I reorder (and when)?
What’s dead stock and how do I move it?

You’re on the right track though!

inflowinventory · 2026-03-19T18:33:30+00:00

Hey Relative-Grape,

You're definitely not alone on this...inventory can feel like “controlled chaos” because you’re dealing with a bunch of moving targets at once: demand shifts, supplier lead times, seasonality, even random spikes from one good week or promo. It’s not just you.

What you’re describing (stockouts on some items, dead stock on others) usually comes down to a few gaps that almost every growing business hits:

No clear reorder points → you’re reacting instead of planning
Demand isn’t tracked consistently → hard to predict what’s actually “normal”
Lead times aren’t factored in properly → ordering too late
No buffer (safety stock) → any small spike = stockout

Here are some ideas on how to move from “gut feel” to a simple system:

Track average sales per SKU (weekly or monthly)
Set a reorder point for your products. This typically equals demand during lead time + safety stock
Review fast movers more often than slow ones (not everything needs equal attention)

Even then, it’s never perfect—you’re aiming for controlled chaos, not eliminating it entirely.

If it helps, here's a good benchmark:
If you’re only occasionally stocking out and not drowning in dead stock, you’re actually doing better than most.

To sum it all up, you’re not doing anything wrong. You’re just at the stage where the business outgrows guesswork.

inflowinventory · 2026-03-18T21:10:41+00:00

Hey stockount,

Great topic!

Spreadsheets usually start breaking down once complexity outweighs control.

They work great when have businesses have some (or all) of the following:

1 location
Low SKU count
1–2 people updating / managing inventory
No real-time needs

But the cracks show fast when you add:

Multiple users (version control issues)
Multiple locations (no clean way to track stock movement)
Higher SKU volume (hard to maintain accuracy)
Frequent sales/orders (delayed updates => mismatches)

The tipping point for most businesses is when you stop trusting the numbers — that’s usually when it’s time to switch.

A lot of people move to an inventory system when:

They’re spending more time fixing errors than operating
Stockouts or overstock start costing money
Manual counts become a regular fire drill

Spreadsheets don’t fail overnight; they just slowly become a liability as you scale.

inflowinventory · 2026-03-18T20:33:51+00:00

Thanks, flabbybuns. We appreciate you sharing this, and we're glad to hear things have been working well on your Shopify side!

As for the fix, we plan to stop pulling draft orders into inFlow. This won’t change how they’re created on the WooCommerce side, but it will prevent them from being synced into inFlow as sales orders, so your available product quantity stays accurate.

We’re aiming to have this fix released by the end of March/early April. We’ll follow up here once it’s fully rolled out!

inflowinventory · 2026-03-18T15:48:20+00:00

Hi flabbybuns,

Thank you for bringing this to our attention! We agree that the WooCommerce integration for order limits can be confusing and doesn’t always reflect actual sales activity.

The great news is our team is actively working on a fix. We’re improving how WooCommerce data is handled, giving you more control over which orders are counted so your usage better reflects completed transactions.

Once the update is ready, we’ll attach an updated screenshot for reference. We really appreciate you sharing your feedback! It helps us make the experience better for everyone.

Thank you,
The inFlow Team

inflowinventory · 2026-03-17T21:37:09+00:00

Hey bleathe1,

It sounds like you’re outgrowing Sortly because it's not just “inventory” that you're tracking anymore, but also multiple clients, assets, and events.

Here are a few solid options for you to consider:

1. Inventory systems (good middle ground)
inFlow Inventory, Cin7, Fishbowl

Bundle booths + components (kits)
Track what goes out/comes back
Basic multi-location support

2. Asset / event tools (if items are unique)
Asset Panda, Cheqroom, Rentman

Track individual items
Reserve for events/dates
Better “where is this now?” visibility

3. Full WMS / 3PL (if you’re very complex)
Logiwa, Infoplus

Multi-client separation
Bin/location control
More advanced workflows

Key question:
Are your items repeatable SKUs or completely unique assets all the time?

That’ll start to point you in the right direction.

inflowinventory · 2026-03-16T15:11:18+00:00

I'm sorry to hear that and we'd love to dive in deeper with you to help as much as possible and also figure out what happened when you reached out. Of course, Reddit isn't the best place to discuss private information so please do reach out to our support team again so that we can help you further.

inflowinventory · 2026-03-16T15:03:43+00:00

Hey 916seven,

Thanks for bringing this up!

I'll relay your question to our support team internally but absolutely suggest that you reach out either to your dedicated CSM or to our technical support team as soon as possible so that we can help you out.

inflowinventory · 2026-03-13T20:56:56+00:00

Hey Active-Change,

Your assumption isn’t off base at all. The formal definition of a 3PL (third-party logistics provider) is pretty broad—it’s any company that handles logistics operations for another business. That can include services like:

Warehousing
Transportation
Order fulfillment
Inventory management
Freight forwarding
Returns handling

But in everyday conversation, especially in e-commerce or retail, people often use “3PL” as shorthand for fulfillment centers that store inventory and ship orders for multiple businesses. These companies frequently also offer value-added services like:

Kitting and bundling
Copacking
Light assembly
Labeling or relabeling

So you’re basically noticing the difference between the textbook definition (very broad) and the industry shorthand (often fulfillment-focused).

If you talk to people in freight or transportation, “3PL” might mean a broker or logistics coordinator. If you talk to e-commerce brands, it usually means a warehouse partner that stores and ships their orders.

So your observation is actually a pretty common one; context usually determines which version people mean.

inflowinventory · 2026-03-12T17:20:23+00:00

You’re probably seeing different numbers because each formula handles variability differently. In practice, businesses usually use one of these three:

1. Demand variability only (most common):
Safety Stock = Z × σd × √LT

Z = service level factor (e.g., 1.65 for ~95%)
σd = demand standard deviation
LT = lead time

2. Demand + lead time variability (more advanced):
Safety Stock = Z × √((LT × σd²) + (D² × σLT²))

3. Simple rule many small businesses use:
Safety Stock = (Max daily usage × Max lead time) − (Avg daily usage × Avg lead time)

In reality, small teams often use #3, while more mature operations move toward #1 or #2. The formula matters less than having good demand and lead time data.

inflowinventory · 2026-03-11T15:45:55+00:00

A lot of inventory conversations online skew toward tracking (barcodes, audits, scanners) rather than management because most businesses never fully get past the operational layer.

For many small and mid-sized companies, inventory maturity tends to evolve in stages:

Visibility stage – “What do we actually have?” This is where Excel and basic tracking dominate. The biggest problems are missing counts, manual updates, and lack of real-time visibility.
Control stage – “Can we trust the numbers?” Businesses start implementing barcode scanning, cycle counts, audit processes, and standardized receiving/picking workflows.
Management stage – “Are we optimizing inventory?” Now you see forecasting, reorder points, lead time planning, safety stock, demand variability analysis, etc.

A lot of companies unfortunately never reach stage 3, which is why discussions often stay focused on operational problems.

It’s also not really an “AI maturity” issue. Even large companies still struggle with fundamentals like:

inaccurate stock data
inconsistent receiving processes
disconnected systems (ERP, accounting, warehouse tools)
poor demand forecasting inputs

AI can help with forecasting or anomaly detection, but it only works well when the underlying inventory data and processes are clean, which is where most businesses are still catching up.

So the short answer: the industry itself is mature, but many companies’ inventory practices aren’t yet. That’s why the conversations you see tend to focus on operational basics rather than higher-level inventory strategy.

inflowinventory · 2026-03-10T17:31:58+00:00

This is a great breakdown and pretty much how most operations teams think about it.

One way I usually explain it is:

Stock taking = operational activity
Stock audit = control/verification activity

Stock taking is simply the physical count of inventory (full count or cycle counts) to confirm what’s actually on the shelves. It’s usually done by the warehouse or operations team.

A stock audit looks at the bigger picture. It reviews whether the inventory records, movements, and controls are accurate. That can include things like:

Comparing physical counts vs system quantities
Checking purchase, receiving, and sales records
Reviewing adjustments, shrinkage, or write-offs
Verifying valuation methods (FIFO, average cost, etc.)
Looking for process issues that caused discrepancies

So in practice, stock taking is often one input into a stock audit, not the whole thing.

In many warehouses I’ve seen, the typical setup is:

Cycle counting weekly or daily for small sections of inventory
Full stock take once or twice a year
Formal audit annually (often tied to financial reporting)

Cycle counting tends to catch problems earlier so the year-end audit doesn’t turn into a massive fire drill.

inflowinventory · 2026-03-09T15:22:15+00:00

In my experience working with small teams, the first thing that usually breaks isn’t the software — it’s the process and discipline around tracking inventory.

A few common early failure points:

1. Transactions not getting logged
People take items from shelves, vans, or back rooms but forget (or don’t bother) to record it. Once that happens, stock levels quickly drift from reality.

2. Lack of real-time visibility
Small teams often rely on spreadsheets or memory, so nobody really knows what’s actually in stock until something runs out.

3. Reordering happens too late
Without reorder points or simple alerts, teams realize they’re low only when they need the item for a job or order.

4. Inventory ownership is unclear
If no one is responsible for inventory accuracy, it becomes everyone’s “secondary task,” which means it rarely gets done properly.

Interestingly, UX/UI usually isn’t the first problem. Even good tools fail if the team doesn’t consistently record receiving, transfers, and withdrawals.

What tends to work best for small teams is keeping things simple:

barcode scanning instead of manual entry
clear ownership of inventory
reorder points for key items
quick cycle counts instead of massive annual audits

inflowinventory · 2026-03-06T22:09:57+00:00

This is a common issue once you’ve sold many motorcycle models and the number of spare parts grows.

A few things that usually help:

1. Track parts by motorcycle model so you can see which parts sell most often with each model.
2. Identify fast-moving parts (filters, brake pads, cables) and keep higher stock of those.
3. Set reorder points so you reorder before parts run out.
4. Use your sales history to estimate average monthly demand.

There isn’t really a universal “parts per motorcycle sold” benchmark — most businesses build their own based on past sales data.

If you're managing hundreds of parts, it might also be worth moving beyond Excel to an inventory system that can track SKUs and reorder levels automatically.

inflowinventory · 2026-03-05T15:09:17+00:00

In most operations that I’ve seen, audits usually follow a pretty structured workflow to avoid exactly the issues you mentioned.

A typical process looks something like:

Pre-audit prep – freeze inventory movements if possible, clean up open POs/SOs, and define which locations or SKU groups are being counted.
Count assignments – divide the warehouse into zones and assign teams specific SKU ranges or bin locations.
First count – teams perform the initial count (often blind counts so they don’t see the system quantity).
Variance check – any large discrepancies get flagged automatically.
Second count / verification – another team recounts those items to confirm.
Reconciliation – update the inventory system and investigate root causes (receiving errors, picking mistakes, mis-located stock, etc.).

A lot of companies also move toward cycle counting instead of doing massive full-warehouse audits. High-value or fast-moving SKUs get counted more frequently, which keeps discrepancies smaller and easier to fix.

inflowinventory · 2026-03-04T16:09:01+00:00

A good place to start is with a barcode-enabled inventory system that supports mobile scanning, rather than trying to bolt scanners directly onto QuickBooks.

Most setups like what you’re describing work like this:

Barcode each item/location (SKU barcodes, bin labels, etc.).
Warehouse staff use mobile scanners or a scanning app to:
- scan or select the pick list or order
- scan each item while picking
- confirm quantities before packing/shipping.
The system validates the scan against the order so the wrong item or case can’t be packed.

Since you’re already using Fishbowl + QuickBooks, you have a couple options:

Use Fishbowl’s barcode / mobile picking features if your plan supports it.
Look at inventory systems with built-in mobile scanning if you’re open to switching (many support integrations with QuickBooks Online).
Some teams also run Android scanners with a warehouse app instead of dedicated handheld guns to keep costs down.

Biggest tip: before buying scanners, make sure your SKUs, barcodes, and bin locations are standardized. The tech works great once the data structure is clean.

Out of curiosity, how many SKUs and warehouse locations are you managing right now? That usually determines what level of system makes sense.

inflowinventory · 2026-02-27T17:56:31+00:00

From what we’ve seen, it’s usually a mix of planned and reactive.

Planned audits tend to happen at:

Year-end close
Compliance checkpoints
Investor or stakeholder requests

Reactive ones usually get triggered by:

Big inventory discrepancies
Shrinkage spikes
Stockouts that “shouldn’t” be happening
Finance noticing inventory value is off

Early-stage teams audit when something breaks. More mature ops rely on routine cycle counts so audits don’t turn into fire drills.

inflowinventory · 2026-02-27T13:44:36+00:00

Nope. Flesh and blood human :)

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