Summarize the article:
Ensure your inventory visibility solution enables real-time tracking, supports multiple locations, automates reconciliation, and centralizes data without replacing core systems.
Opt for a SaaS inventory visibility solution for simple operations (one warehouse, one ERP, up to 500 SKUs).
Customize the ERP for inventory visibility if you’re planning to replace it or have low real-time data sync needs.
Build a custom visibility platform if you’re dealing with multi-warehouse operations, complex inventory logic, and advanced warehouse automatio
Year after year, supply chain disruptions multiply — so much so that they are arguably the new norm. Geopolitical instability, economic uncertainty, natural disasters, cyberattacks, and supplier failures all make for a rather precarious supply chain landscape.
So, it’s hardly surprising that some companies resort to increasing inventory levels to prevent shortages. But without real-time visibility into all the inventory, that solution creates its own problems: capital gets tied up in stock that just sits in your warehouse. Besides, you might still end up overstocking at one location while running out of the same SKU in another.

In the world of shrinking margins and rising uncertainty, inventory and network optimization unsurprisingly become the number one category of technology investment. Here’s why — and how to make the right investment for your B2B inventory visibility goals.
How do you know when it’s time to invest in real-time inventory tracking? The answer is simple, at least on the surface: take a long, hard look at your current inventory operations. If one of these five warning signs pops up, it’s probably time to rethink them:
Warning sign | Where it surfaces | How it impacts business | How common it is |
Disconnected systems | • Warehouse teams know an SKU is out of stock, but sales reps don’t • Customers see outdated inventory data on the portal | • Slows down sales and harms the NPS in the process • Increases emergency restocking, backorders, and expedites | • Common (55% of wholesale distributors don’t have their systems fully integrated) |
Delayed updates | • Inventory gets double-booked • Orders get shipped late or in multiple installments | • Harms customer satisfaction and your reputation • Complicates demand forecasting | • Somewhat common (20% say their data is only somewhat trustworthy) |
Spreadsheet dependency | • It takes tons of time to explain the spreadsheet to someone new • Inventory movement between warehouses doesn’t get recorded properly | • Increases write-offs due to lost inventory • Requires frequent physical counts | •Common (49% rely on spreadsheets) |
Fulfillment issues | • Pickers encounter empty locations that show up as stocked up in the system • Warehouse teams spend too much time looking for inventory | • Increases returns and customer complaints • Reduces retention and customer lifetime value | • Fairly common (three-quarters report fill rates below 95%, 22% report missing order deadlines) |
Rising operational overhead | • Stockouts and overstock become chronic • Dead stock and write-offs increase • Picking speed declines • Inventory shrinkage rises | • Capital gets tied up or wasted on dead stock • Scaling operations becomes more challenging and costly | • Somewhat common (17% name business costs a challenge) |
With that out of the way, let’s dive into how four concrete inventory management challenges can cost your business.
Most wholesale distributors (70%) have to manage more than 5,000 SKUs. Yet, 39% of smaller distributors manage 5,000 to 50,000 SKUs with fewer than 50 employees to stay afloat — an impossible task without workflow automation in place.
If you rely on manual processes or use legacy systems, adding more SKUs, warehouse locations, or channels may cause delays and fulfillment errors.
The result? Unhappy customers and skyrocketing operational costs.
Systems are there, but the data isn’t flowing between them as it should. That’s the sad reality for over half of wholesale distributors in North America (55%).
So, a customer may place an order thinking the items are in stock, but it turns out that a sales rep manually reserved them for another customer. Or a sales rep may promise the inventory to another customer, but it’s just not there—the counts were outdated.
The result? Compounding errors across teams and channels and, once again, unhappy customers.
Inertia is a powerful force, so much so that almost half (49%) still rely on Excel spreadsheets in inventory management for B2B operations. Spreadsheets are simple and require little overhead, but they can’t handle increasing order volumes and larger teams.
With every order, someone has to open the spreadsheet and update the inventory count. It’s fine for 10 or 20 orders a day. At 500 orders a day, that’s just unsustainable.
The result? Wasted time and employees acting on outdated or erroneous data.
Relying on inaccurate inventory data means:
You might get caught unaware by dead stock.
Customer orders may get delayed.
You have to stock up on more SKUs than needed.
Pickers have to spend hours a week looking for lost inventory.
That costs you, in the form of:
Tied-up inventory
Emergency restocking
Expedited shipping
Dead stock
Write-offs
These are the direct (and obvious) costs of inaccurate inventory data. But they extend well beyond that:
Customer dissatisfaction cools down sales and increases churn.
Operational inefficiencies mean you accomplish less with more people on the team.
Need a real-world example? Take our B2B portal migration case study for a building materials manufacturer. Before we came on board, the company was manually syncing inventory data between its ERP, CRM, and dealer portal via spreadsheet imports.
The problem? Data was quickly becoming stale, and dealers ended up seeing incorrect stock levels on the portal.
So, the company turned to Bits Orchestra for CMS integration services.
Our solution? We implemented automated data sync via ERP and CRM connectors, which removed the need for spreadsheet imports. No system replacement — we built an integration layer on top of the systems already in place.
The result? Manual reconciliations were cut in half. Accurate stock levels, in turn, helped drive logged-in dealer self-service orders by 45%.
Inventory management software captures inventory data from multiple sources and processes it using custom logic. That logic determines when to send alerts or how to use data for demand forecasting.
Here’s what scalable inventory visibility solutions look like, in broad strokes:

Having an accurate live view of your inventory is one of the most crucial inventory management automation best practices. In practice, it means:
Your portal displays accurate stock levels.
Sales teams get live stock confirmations.
Stock gets reserved the moment a customer places an order via the portal.
To that end, the layer pulls inventory data from warehouse inventory systems and combines it with the order data from the ERP.
If you’re operating multiple warehouses, real-time inventory visibility can’t remain confined to one location. The visibility layer should automatically consolidate inventory data across locations, providing a bird’s-eye view of your business’s whole stock.
For example, our flooring software development expertise helps businesses improve inventory accuracy to 98-99% — even when multiple locations are involved.
In practice, that requires more than just importing data from multiple systems. Your software should also:
Normalize data
Account for cross-location stock movements
Automatically reconcile discrepancies
You’ve spent years refining the inner workings of your internal systems, so replacing them with a new shiny solution for the sake of visibility is a huge ask. Luckily, even if you have a legacy ERP or a custom-made B2B portal, you can integrate them with other systems via:
RESTful or SOAP APIs
Middleware solutions
IaaS platforms
That said, selecting the right integration method requires evaluating your systems first. Consider inventory management software development services if you can’t do it in-house.
There’s no point in integrating all that inventory data if your teams can’t use it. So, visualize it in real-time supply chain visibility dashboards.
But remember: different teams have different data needs. For example:
Sales teams need product availability data and estimated shipment delays.
Procurement teams care about in-demand SKUs, low-stock items, and demand planning.
Fulfillment teams focus on optimizing pickup, storage, and layout.
Consider using AI for inventory management to embed features like demand forecasting and automated stock allocation.

Real-time inventory visibility doesn’t always require building a separate solution. In fact, you can also customize your ERP or buy a SaaS product for this very purpose.
Of course, each option comes with its own tradeoffs. For example, ERP customization can be easier, but it won’t handle complex workflows as well as a B2B inventory visibility platform.
Here’s how your options compare:
SaaS | ERP customization | Custom visibility platform | |
Workflow complexity (pricing, approvals, etc.) | ❌Low Suitable for standard workflows with little customization needed | ⚠️Moderate Can support some custom logic, but may be hard to maintain | ✅High Supports any custom logic |
Integration scope | ⚠️Limited by the vendor Suitable for SaaS-first software stacks and simple API integrations | ⚠️Limited by the ERP May require a middleware solution and may struggle with large data volumes | ✅Largest possible Integrations can be executed with custom connectors, middleware, and APIs |
Scalability limitations | ⚠️Limited by the vendor The vendor is responsible for performance and new features | ⚠️Limited by the ERP Performance may lag with increased loads; most ERPs aren’t designed for real-time updates | ✅Fewer May be limited by the systems being integrated |
Upfront investment | ✅Low to none No development required | ⚠️Moderate Requires some development | ❌Highest Takes the longest to develop and implement |
Running costs | ❌Highest Introduces a new operational cost, with fees potentially rising together with inventory volumes | ⚠️Moderate May increase ERP maintenance and support costs | ⚠️Moderate Requires continuous maintenance and support |
In our experience, here’s when each of these options makes more sense than alternatives:
SaaS: Businesses with limited resources, tight timelines, and standard workflows (one warehouse, under 500 SKUs)
ERP customization: Companies with relatively low real-time data needs and stable ERPs that hold years of custom logic (common in manufacturing software development)
Custom visibility platform: Businesses with multi-region operations, complex inventory logic, and advanced warehouse automation
Middleware, as its name suggests, passes data between two systems that can’t be integrated directly. That can happen if one of the systems is old and uses data formats incompatible with the other system.
However, most middleware tools are designed for scheduled batch sync, so they may struggle to keep up with huge real-time data volumes. Besides, they’re prone to breaking when:
Scaling operations leads to more exceptions and more complex rules, and middleware absorbs the custom logic.
The number of integrated systems increases, and latency accumulates with each hop between them.
That’s why middleware isn’t always the right answer for achieving inventory visibility. Steer clear of it if:
You have multi-warehouse, multi-region operations governed by complex custom rules.
You plan to expand operations to new locations in the near future.
You need to connect a lot of systems without increasing latency.
Is building an extra system a good investment for your business? Here are the questions you should ask before saying “yes.”

Core questions:
Can your ERP support true bidirectional sync?
What latency will the integration introduce?
Will it introduce dependency on middleware or manual exports?
Inventory control systems can’t do much without the data from your ERP system. But if it doesn’t support real-time APIs and event-driven updates, you’d have to make do with superficial connectors that limit scalability and customizability. Relying on middleware or manual exports, as we’ve covered, may create data conflicts and increase latency.
Speaking of latency. Consider how fast you can (and should) update data. Depending on scale, batch updates every one to five minutes can keep up with the inventory for distributors. High-velocity SKUs and multichannel sales, however, require real-time (< 5 seconds) or near-real-time (5 to 60 seconds) updates.
Core questions:
How will inventory visibility automate workflows?
How can it enhance operational intelligence?
What data does each team need?
Workflow automation is the core strength of inventory visibility systems. So, consider what you can do with consolidated data across locations and warehouses. For example, you can use it to automate:
Restock and low-stock alerts
Reorders based on predetermined triggers
Backorder prioritization
Allocation adjustments
Exception management (inventory discrepancies, delayed receipts, etc.)
Inventory data can also inform analytics that predict demand, analyze fulfillment performance, or track SKU velocity. Define which reporting capabilities, alerts, and operational dashboards each of your teams needs, too.
Note: If you’re looking into demand forecasting, make sure you hire a partner with experience in AI/ML development services to build the software.
Core questions:
Are you currently in a high-growth stage?
Are you planning to expand to new channels, markets, or warehouses?
If your order volumes have been growing steadily, scalability is probably already at the forefront of your mind. But that’s not the only thing that defines scalability. Your inventory visibility layer should also support:
Multi-warehouse operations
Multichannel distribution
Warehouse automation capabilities, both current and future
Regional supply chain for distributors with cross-border operations
In practice, building with scalability in mind means using an event-driven architecture, implementing horizontal scaling, and stress-testing the system under high loads (e.g., by simulating seasonal spikes in sales).
Not all B2B distributors need custom supply chain software solutions for real-time inventory visibility. Investing in one is probably not the right move for you if:
You have relatively small operations. Run a single warehouse and manage up to 500 SKUs within one ERP? You’ll be better off with an off-the-shelf solution in this case.
You’re going to replace your ERP within 12 months. Already have plans to get rid of the ERP? Consider adding inventory visibility to the list of new system’s specifications.
Your data is unreliable at the source. Integrating it will only lead to the “garbage in, garbage out” scenario. Fix data quality issues first.
You don’t know who will be responsible for the system post-launch. If you don’t have an internal owner, find one first — or reconsider your options.
An inventory visibility solution is software that centralizes inventory data across warehouses and regions. It displays accurate stock levels, status, and movements in real time.
Check if it pulls real-time inventory data from warehouse automation systems (WMSs) first. Then, see if it can automate inventory decisions (e.g., replenishment, low-stock alerts) and provide operational intelligence (e.g., demand forecasting).
Businesses with over 500 SKUs, multiple warehouses, and complex workflow logic are better off with a custom inventory visibility platform instead of ERP customization or a SaaS solution.
It depends on the integration difficulty, features required, data quality, and existing tech debt. The ERP complexity and the number of warehouses can also impact the timeline. We can give you a rough timeline for your specific case; just drop us a message.
Estimating the cost of an inventory visibility project starts with understanding the scope: the number of integrations, data sources, inventory locations, user roles, and automation requirements. Because every environment is different, costs can vary significantly between organizations.
A software development cost calculator can provide a useful starting point by helping you estimate the effort and budget required for your project based on its complexity and business requirements.
Yes, in most cases, you don’t have to replace your ERP. However, if it’s a legacy system with limited throughput, you may need to consider modernizing it first.
It’s not an either-or choice. Customer-facing, warehouse, and allocation data should be updated in real or near-real time. Financial reporting, analytics, and reconciliation can be synced in batches.