If you are a warehouse manager who’s been spending your entire Saturdays typing serial numbers into spreadsheets… a small business owner delaying equipment tracking because it feels overwhelming… or your team just discovered you own three of the same expensive tools because nobody tracked what you actually had, you’re not alone.
For everyone, the problem has always been the same – manual data entry. And what’s worse? It hasn’t really mattered whether you’re using spreadsheets or expensive asset management software to track your tools – when you’re adding new items or trying to update existing item entries in your inventory, you still have to type every single detail for every single item, manually.
The hours you pour into keeping your inventory updated add up and eat into productive time. Plus, when you’re staring at the static black and white of typical inventory tools, numbers blur up, and it’s easy to make mistakes.
But that’s starting to change. It’s taken a while, but manual item tracking is beginning to give way to new AI-driven approaches. This guide reveals how some AI-powered tools now allow you to build up-to-date inventories in minutes without typing a single description.
Tracking items manually often breaks down because…”
It takes too much time
Typing descriptions, serial numbers, model numbers, and other details for each item manually just takes so much time. Since a single person can catalog, say, 10-20 items per hour, when you have hundreds or thousands of items to catalog, inventory can take days or weeks to complete.
This eventually leads to team members or you postponing inventory work and losing track of your items. You’re back to guessing what is where… and who handled items.
It’s easy to make mistakes
Manual entry also makes it that much easier to make mistakes, especially when you’re typing serial numbers or item names that are similar.
Different team members may describe items with different names, you may miss items when counting large quantities, or assign items to the wrong categories. The inventory breaks easily because any typos or errors in these mean the inventory is no longer searchable, and you won’t be able to find the items you need.
Updating inventories is hard
For teams that rely on equipment that’s moved often between locations, you’ll need someone to update the inventory any time items are moved, and this sinks more hours into inventory work per week.
No one wants to spend time updating an inventory that’s ‘done,’ and eventually, it becomes stale. And when it’s time to find items quickly, you’re relying on who last saw them or finding out equipment has been missing for a while, too late.
There’s no visual reference
For large inventories with similar items, text descriptions can be very vague and don’t really help, especially if you have new team members on board. For example, a ‘blue toolbox with a metal handle’ could mean four different boxes, and to actually tell items apart, you often have to check them physically.
So, on top of the in-office work, you or your team members are sinking more time into verifying items physically.
Which leads to the next point…
Item conditions are hard to track
Since most inventories are purely text-based, it can be hard to tell or track the conditions of items or equipment. There are no ‘photo tracks’ to prove where any damage to equipment may have occurred, and this can lead to disputes between team members about who damaged what.
There’s also the risk of sending already damaged equipment to locations and not finding out until they fail, putting your business reputation and possibly others’ safety at risk. You’re suddenly scrambling for replacements that may arrive too late.
How AI is helping create instant, up-to-date inventories
A new wave of AI-powered tools has been popping up recently with features that directly address the problems of manual inventory that item managers have been struggling with.
Some of these tools are…
Creating inventories for you
Some AI-powered tools on the market, like Scanlily, now create full inventories for you. Instead of manually typing in descriptions of items, some of these tools come with AI recognition capabilities, where you only need to take a photo or video of items you want to catalog, and the AI recognizes each item and creates a separate inventory entry with the name, description, category, etc.
Inventory updates that used to take days can now be done in minutes, and teams have more time to focus on more productive tasks.
Making item fields from ‘walk-throughs’
With some of these AI tools on the market, while recording the items being cataloged, the AI also listens to the voice of the user as they ‘walk through’ a room containing many items. The user can describe or count items while walking and talking, and this information is automatically added to the inventory entries after the video is submitted.
With features like these, inventories are instant but also don’t sacrifice accuracy. Managers don’t need to create completely new categories or item fields for unique items manually. They only need to describe them vocally.
Making inventory visual
When every inventory entry comes with photos or videos attached, it’s super easy for managers or team members to identify items and not confuse similar tools. Some AI-based inventory management tools actually pull images for items being cataloged and attach these to the inventory entry, creating a visual catalog vs. the text-only lists common with spreadsheets and traditional asset management systems.
Inventory work moves even faster since team members can see exactly what items look like.
You can also see the condition of items just by looking at the photos. Managers can ask team members to take a quick shot before and after they use the equipment, then attach those photos to the item record. If there’s any damage, you’ll know who handled them last.
QR-based, hence usable by anyone
Some AI-enabled inventory tools also feature QR-based tracking, where physical QR stickers placed on the physical items can be scanned to open up the preset ‘item pages’ in your inventory, with configured access. These QR codes effectively act as product page URLs. Because the QRs are URLs, the user does not need to install an app but can rather scan with a phone camera and open up a web page with the information about the item.
Since most smartphones today can scan QR codes, these tools allow managers to outsource the bulk work of equipment tracking to team members. What’s more? Contractors and temporary workers can use their own phones to quickly update any important item details you want them to have access to.
Making item locations instantly visible
Some mobile phone-based inventory systems feature ‘GPS tagging’ where the exact GPS locations of your team members’ devices are captured whenever they scan the physical QR stickers placed on equipment.
Some of these apps also come with real-time GPS alerts that notify you whenever equipment is scanned in a new location, meaning you always know exactly where to find gear when you need it.
Now, you can pull up your inventory and see an actual map with pins showing where different equipment is, unlocking a level of inventory visibility never seen before.
Making inventory search conversational
Another big revolution AI is bringing to inventory management is the unparalleled ease of searching and finding items. Most traditional asset management systems retrieve and display items by keyword-matching – a single-letter typo means not finding what you’re looking for.
Some of the newer AI-powered inventory systems allow you to find items using natural language search. Your inventory comes with a search engine where you can literally have conversations and describe item details in sentences.
For example, users could type ‘where’s the camera we sent to the Chicago trade fair last week?’ and the tool goes through the list to find cameras, filters them out using the GPS tags from the previous week, and then uses the most recent GPS tag to know where it is.
With these capabilities, inventories come to life and are much easier to use vs. the static retrieval interface on traditional asset management systems.
Working on devices we all have
Finally, teams no longer need to buy specialized equipment or scanners to track inventory. Why? Many of these AI-powered inventory tools live as smartphone apps.
Since team members can use their own mobile phones, there is no extra equipment cost, and work can start immediately. Managers (admins) only need to set the level of access team members have. After that, they only need to open up their phone cameras and start tracking!
Rounding Up: Inventory makes sense now, going forward
Manual inventory tracking requires too much time and effort to maintain. Many small teams manage it initially, but as operations and your inventory scale, typing descriptions for hundreds of items, updating locations constantly, and tweaking errors eventually becomes unsustainable.
With some of the AI-powered inventory tools, you only need to take photos or record videos of your items, and the system generates complete entries automatically. With a tool like Scanlily, you can even speak quantities and special notes while recording, and the AI captures those details.
And when paired with QR stickers placed on equipment, anyone with a smartphone can update locations and item fields instantly without downloading apps or receiving any special training.
The real question is how long teams will continue relying on manual methods that don’t scale.