The Field
Inventory Problem

Why medical device companies lose money, time, and visibility once inventory leaves the warehouse — and practical approaches to fixing it.

For Operations & Supply Chain Leaders deviceflow.com

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The Field Inventory Problem
Section 01

Consignment stock

Medical device companies have solved warehouse inventory. ERPs track what’s on the shelf. WMS platforms know what’s been picked, packed, and shipped. The problem starts the moment inventory walks out the door.

Once a kit, implant, or instrument set reaches the field, whether it's consigned at a hospital, sitting in a rep's trunk, loaned for a case, or transferred between reps, most companies lose visibility entirely.

Many have tried to fix these problems. Every previous fix asked field reps to do more work. More forms, more scanning, more logging into systems that weren't built for them. The ground reality is simple: if tracking inventory is harder than not tracking it, it won't get tracked. Instead, make the right thing the easy thing.

150 days
Average field inventory carry time
1–4%
Annual inventory shrinkage rate
48%
Of implants documented at point of use
45–70 days
Average DSO for medical devices

The gap

Consignment inventory lives between the manufacturer’s ERP and the hospital’s system — neither side has full visibility. Your ERP shows what was shipped, not what’s been used or what’s expired.

Manufacturers carry an average of 150 days of inventory in the field. For a company with $10M in field inventory, $100K–$400K per year disappears to shrinkage alone.[1]

How it works when it’s solved

The rep emails or texts a photo of the charge sheet — the same thing they’re already doing. AI extracts the products, lot numbers, and quantities. Inventory adjusts automatically. Billing kicks off. Replenishment triggers.

The rep’s workflow didn’t change. But now a single event updates every downstream system instead of starting a 5-person email chain. Consignment becomes a real-time dashboard — usage, replenishment status, and revenue recognition all visible at a glance.

The Field Inventory Problem
Section 02

Trunk stock

Sales reps carry inventory in their car — literally in their trunk or a rolling case. They bring product to cases, use what’s needed, and return what’s left. It’s the most flexible and least visible inventory model in medical devices.

The gap

Every vehicle is a mini-warehouse with no inventory system. You can buy a field app, but if it requires reps to manually enter every item they receive and every item they use, adoption dies within weeks. The system has to build inventory for them.

20 reps each carrying $50K–$200K in trunk stock = $1M–$4M in unmanaged inventory. Stock expires in trunks because nobody catches it until the next physical count.[3]

How it works when it’s solved

Start with what happens without the rep doing anything: when the 3PL ships inventory, they CC the system on their advance shipping notice. The system ingests the ASN, extracts lot numbers and quantities, and builds the rep’s trunk stock automatically. No manual entry. No scanning. The rep opens the mobile app and sees exactly what’s in their trunk — because the system built it from the shipping data.

Automatic ASN receipt

3PL CCs the system on every shipment. Lot numbers, quantities, and product details are extracted and assigned to the rep’s inventory — before the box arrives.

Mobile inventory view

Reps see what they’re carrying, what’s expiring, and what’s been used — from their phone, between cases. No login to a portal. No spreadsheet.

60-second usage reporting

Photo of the charge sheet, quick form, or barcode scan. The inventory they never had to build stays accurate because every transaction updates it automatically.

Flexible tracking rules

Strict lot tracking for implants. Lighter touch for instruments. Auto-approval for routine orders, manual review for high-value ones. You set the rules by product line or account.

The Field Inventory Problem
Section 03

Loaner kits

A manufacturer sends a kit of instruments and implants to a hospital for a specific case. The kit ships out, the surgeon uses what’s needed, and the kit ships back with (hopefully) everything accounted for. A single kit might contain 30–50 individual items across implants, instruments, and disposables — each with its own lot number, expiration date, and unit cost.

The gap

The handoff chain

  • Warehouse → carrier
  • Carrier → hospital dock
  • Hospital dock → OR
  • OR → recovery area
  • Recovery → rep
  • Rep → different carrier
  • Carrier → back to warehouse

What goes wrong

  • 35–40% of kits return with discrepancies[2]
  • Items migrate between kits
  • Only 48% of implants documented at point of use[6]
  • Days spent reconciling each return
  • Kits blocked from next case until resolved
  • Contamination and sterility risk
  • Incomplete usage data from hospitals

A discrepant return doesn’t just cost you the missing item. It blocks the kit from the next case until reconciled, adds investigation hours, and creates sterility risk.

How it works when it’s solved

The rep is already opening and closing the kit. You’re not adding a step — you’re digitizing one that exists. Snap a photo before the case, snap a photo after. The system compares the two, flags discrepancies in real time, and creates an auditable record before the kit ships back. Three days of reconciliation becomes three minutes.

The incentive is built in: the rep can’t generate a return shipping label until they’ve confirmed what’s in the kit. That’s not a mandate — it’s a workflow that makes verification the path of least resistance.

The Field Inventory Problem
Section 04

Field transfers

One rep needs a product or kit that another rep has. Instead of ordering from the warehouse (which takes days), they arrange a lateral transfer — meet in a parking lot, drop it at a front desk, ship it directly to each other. It’s fast, practical, and completely invisible to most systems.

The gap

An Operations VP at a mid-size orthopedic manufacturer estimated that 10–15% of their kits don’t come from the distribution center — they come from other reps via field transfers. And 35–40% of kits that go through field transfers come back with discrepancies.

ERPs track warehouse-to-customer. Field systems track rep-to-case. But rep-to-rep? That’s a text message and a handshake. The inventory record doesn’t update until someone manually corrects it weeks later.

How it works when it’s solved

A lightweight transfer from their phone — Rep A initiates, Rep B confirms receipt, inventory updates in real time. The design principle: make the compliant path the convenient one.

Two-tap transfers

Need inventory from another rep? Request it from your phone. They confirm. Location updates instantly. No email, no phone call, no manual correction at quarter-end.

Shipping label gating

Need to ship a kit back? Confirm what you have first. The return label is the incentive — verification is the price of convenience.

Real-time location updates

The 3PL and the manufacturer see the same inventory picture. No more kits showing up in the wrong location until the next cycle count.

Audit trail by default

Every transfer is timestamped, attributed, and linked to the inventory record. Chain of custody builds itself from normal rep activity.

The Field Inventory Problem
Section 05

Bill-only automation

Regardless of which field inventory model a company uses, the bill-only transaction is where money gets lost. The device is used first and billed after. Five hands typically touch each transaction.[4]

$250–$500
Fully-loaded cost of processing a single bill-only order — labor, error correction, and delays
1
Rep records usage

Paper charge sheet (or a photo of one), sent to customer service by email or text — sometimes the same day, sometimes a week later.

2
Manual data entry

Someone manually enters the data into the ERP — product codes, lot numbers, quantities.

3
PO generation & price matching

Generate a PO, match it to a contract price, flag discrepancies.

4
Invoice creation & collection

Create the invoice. Chase the payment. Industry average DSO runs 45–70 days.[7]

Most of the delay doesn’t happen in AR — it happens between the case and the invoice. A case happens Monday. The charge sheet arrives Wednesday. Someone enters it Thursday. A pricing discrepancy Friday. Back to the rep the following week. The invoice goes out 10–14 days after the case, and the payment clock hasn’t even started.

How it works when it’s solved

The rep emails or texts a photo of the charge sheet — or uploads it through the mobile app. That’s it. That’s their entire role in the billing process.

From there, the system takes over: AI extracts products, lot numbers, patient info, and the facility. It auto-matches to contract pricing, flags discrepancies, and generates the invoice. The rep did one thing they were already doing. The system did the other four steps automatically. Case-to-invoice goes from 10–14 days to same-day.

The Field Inventory Problem
Section 06

The design principle

Don’t add steps. Digitize the ones that already exist.

A single case can involve consigned product, trunk stock, a loaner kit, and a field transfer — all in the same day. The solution isn’t a bigger ops team. It’s a system that captures every transaction at the source and structures it automatically.

What that looks like in practice

Start with what people already do

The rep is already emailing a charge sheet — let AI process it. The 3PL is already sending an ASN — let the system ingest it. The rep is already opening the kit — let them snap a photo. No new behaviors required.

Dial tracking up or down

Flexible rules by product line, rep, or account. Strict lot tracking for implants, lighter touch for instruments, auto-approval for routine orders, manual review for high-value ones.

One system between field and ERP

Every transaction captured at the source, structured automatically, and pushed into whatever system of record the company uses. Not replacing the ERP. Not replacing the 3PL. Connecting them.

Where a 10-person ops team actually spends their time

Today: data entry & detective work

  • 2–3 people processing orders and charge sheets manually
  • 1–2 people reconciling kit returns and investigating discrepancies
  • 1 person chasing reps for missing usage data
  • 1 person managing consignment replenishment
  • The rest fighting fires created by the gaps above

With automation: managing the business

  • Customer relationship management and case coverage
  • Pricing and contract optimization
  • Proactive consignment and par-level management
  • New account onboarding and territory growth
  • Data-driven inventory planning and demand forecasting

The goal is simple: make it easier to do the right thing than the wrong thing — so the operations team can manage the business instead of managing spreadsheets.

The Field Inventory Problem
Section 07

The 5-question self-assessment

You don’t need a consultant or an audit. Ask your operations team five questions:

1
Total field inventory value

Can you tell me, right now, the total dollar value of inventory in the field — by rep, by location, by product?

2
Kit return accuracy

What percentage of your kits come back complete after a case?

3
Case-to-invoice time

How many days does it take, on average, from a completed case to an invoice going out?

4
Transfer visibility

When reps transfer inventory to each other, how does your system find out?

5
Manual data entry headcount

How many people on your team spend more than half their time on manual data entry or reconciliation?

If you can’t answer the first four with confidence, or if the answer to the fifth is “more than zero,” the field inventory problem is costing you real money — and it gets more expensive with every rep, every product line, and every new customer you add. The fix isn’t more discipline. It’s better tooling that makes the right workflow the easiest one.

Show us your field inventory workflow. We'll show you the gaps.

Walk us through your current process — consignment, trunk stock, loaners, transfers. We'll map the handoffs, identify the blind spots, and show you what visibility looks like with your actual data.

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