Wall to wall computer vision is achievable with Vimaan. Sensors from receiving to shipping and everywhere in between allows for tracking inventory across the warehouse and provides the highest levels of inventory accuracy.
We can establish this opportunity throughout the entirety of the warehouse workkflow. So I can validate material as it gets received against a PO or an ASN or a pack list. Some of our customers still operate in a paper world, so I can actually scan a paper pack list or an ASN, and as you’re decanting or unloading a floor loaded container, I can validate the quantity condition of kind to what you received versus what you were expecting on your ASN. Same thing with picking and put away using computer vision technology. Not only can I track the precise location of where you drop pallets in bulk or staging areas, as well as in racking. But I can simultaneously track increments and decrements from those locations as cases eachs or pallets get picked. So the purest form of location and order accuracy, in real time, based on strategically placed cameras on piece of equipment, we essentially take that same camera and sensor suite, and we attach it to different places in the workflow to provide the same layer of computer vision capability.
So for a cycle counting exercise, where historically, or primarily we started with a drone, we’ve incorporated some, ground based cart solutions and soon to be AMR solutions to be able to perform these cycle counting exercises, without dedicated teams, who consistently are out in locations, counting, automate the process. We can automate or provide a hundred percent validation and audit opportunities for order processing and packout that can be done at a pallet build level in the form of a gate, or it can be done, sort of e-com in each picking, application where I can validate what’s in, what the contents are of a parcel based on a paper pick list. Or I can extract that line level detail from a WMS and by observing either an outbound carton getting built or material passing under one of my computer vision cameras, I can alert a packer or auditor as to discrepancies, against what’s in the order versus what should have been in the order.
So too, can I validate, the address on a pack list, that’s exposed on a carton against the shipping label, for example. So from an outbound outbound ship confirmed process, as a means of validating against a manifest or a one last check and condition quality before your parcels go out the door and then all of this information is available through a commonappli cation where you can go access images of your inventory and your locations, as we observe it, right? So you can search by serial number by lot number by location, be able to call up the images of your material and its last known condition and location. Your peers are using this for things like dispute resolution putting the onus on carriers for damages or, suppliers or manufacturers against the condition of material as you receive it. And as you ship it out, we’ve got luxury goocustomer who is actually presenting an inbound interior image of their outbound carton to their customers as a verifiable proof of the contents of the order on the way out the door before ups touches it. So there’s a lot of different opportunities within the entire work stream and the four walls take advantage of this technology.