Pharmaceutical Distribution
Every pack is tracked.Every gap is invisible.
FMD serialisation, GDP audits, expiry management, tender pricing. You built compliance into every process, but the cost of running it all is quietly eating your margins. We embed with your team, map your entire distribution network from goods-in to final mile, and deploy AI specialists that recover what compliance complexity is costing you. Not a consulting review. Operational change, from week one.
The Problem
Where the money
is going.
Cost
Serialisation Exception Handling
FMD requires scan-and-verify on every pack, but your WMS, ERP, and the national medicines verification system rarely agree on the first pass. Exceptions pile up. Warehouse staff spend hours each day on manual reconciliation, checking serial numbers against three different systems. The packs are compliant. The process to prove it isn't.
Process
GDP Compliance Overhead
Temperature excursion documentation, supplier qualification reviews, transport validation records. Your Qualified Person signs off on all of it, and they've become the single point of failure for every shipment decision. Audit prep consumes weeks every year because evidence lives in spreadsheets, email threads, and binders that haven't been digitised.
Risk
Expiry and Recall Exposure
Short-dated stock sits in one warehouse while another location is out of stock on the same product. Nobody sees the mismatch until a pharmacist calls. When a recall lands, your response time is measured in days of manual batch tracing. Regulators expect hours. The gap between what you can prove and what you actually did is where the risk lives.
Cost
Tender Pricing Erosion
Hospital and pharmacy tenders run on razor-thin margins. A pricing error on a regulated product cascades through the entire contract period because you can't renegotiate mid-tender. Your commercial team builds bids in spreadsheets that pull from outdated cost files. By the time you win the tender, the margin you modelled has already shifted.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with a structured discovery. Our team interviews every warehouse manager, Qualified Person, commercial lead, and regulatory coordinator across your sites. We connect to your WMS, ERP, serialisation platform, and temperature monitoring systems. The result is your Blueprint: a complete, live map of how your distribution network actually operates, from goods-in verification to final-mile delivery.
Uncover
We analyse everything we mapped. Our platform finds the serialisation exception patterns driving manual rework, the GDP documentation gaps consuming your QP's time, the stock allocation failures behind expiry write-offs. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Automate serialisation exception triage, streamline GDP audit preparation, rebalance short-dated inventory across sites. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Serialisation Exception Rework
$289K/yr
Cost
Expiry Write-offs from Stock Imbalance
$137K/yr
Cost
Tender Pricing Margin Leakage
$76K/yr
Process
GDP Audit Preparation Time
23 hrs/wk
Risk
Qualified Person Bottlenecks
3 roles
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to your entire operation.
AI-led conversations with every employee. Warehouse operators, QPs, commercial managers, regulatory staff. Not surveys. Real conversations that capture the workarounds, the exception-handling routines, the compliance shortcuts no system records.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how your distribution network works, from goods-in serialisation checks through cold-chain storage to last-mile dispatch. The first opportunities are identified, and AI specialists are already in production.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Serialisation exception rates drop as root causes are resolved. GDP audit prep shrinks from weeks to days. The platform pays for itself and keeps going.
FAQ
Common questions.
Our serialisation system flags hundreds of exceptions per day and warehouse staff just clear them manually. Can you actually fix the root causes?
Most exception volumes come from a small number of repeating patterns. Mismatched batch data between your ERP and the national verification system, timing misalignments on aggregation events, scanner firmware inconsistencies across sites. We map every exception type, trace it to its source, and build specialists that resolve the pattern rather than the individual alert. Volume drops because the causes stop recurring.
We tried a GDP compliance platform two years ago and our Qualified Person still spends most of their week chasing documentation from warehouse teams.
Compliance platforms digitise the form, not the process. If your QP is still chasing temperature excursion reports from drivers or reconciling supplier qualification records across email threads, the tool didn't change the workflow. We start by mapping how evidence actually flows between your warehouse floor, transport partners, and QP review. Then we build specialists that collect, validate, and surface documentation automatically, so your QP reviews exceptions rather than assembling files.
Our five warehouses each manage their own stock rotation and expiry processes differently. How do you standardise without disrupting local operations?
Standardising blindly is how you end up forcing a hospital-supply hub to run the same rotation logic as a pharmacy pre-wholesale site. We map each warehouse's actual product mix, customer lead times, and expiry profiles individually first. Then we surface where sites can learn from each other, like one warehouse's approach to short-dated reallocation, and where local variation reflects genuine operational differences. You get consistency where it prevents write-offs and flexibility where it matters.
Regulators expect recall response in hours but our batch tracing still involves pulling data from three systems manually. What does a realistic improvement look like?
The bottleneck is rarely the data itself. It's the reconciliation across your WMS, serialisation platform, and distribution records. We map the full trace path for a batch from goods-in to final customer delivery and identify where data handoffs break or slow down. A typical first improvement is reducing manual trace assembly from days to under four hours by automating the cross-system reconciliation. Full end-to-end traceability improves over time as more exception patterns are resolved upstream.
Explore
Related industries.
Regulated Industries
Chemical Distribution
Volumes are up. Compliance costs are up more. And one missed registration stops everything.
Logistics
Cold Chain Logistics
Your fleet runs 18 hours a day. Your data doesn't.
Healthcare Services
Outpatient Surgery Centers
Your ORs are booked. Your block time isn't earned.
Logistics
Freight Brokerages
You moved 200 loads last week. You don't know your margin on half of them.
Healthcare Services
Home Health Agencies
You have more patients than ever. And fewer clinicians to see them.
Professional Services
Staffing Agencies
You're filling orders. You're not filling them profitably.
See what Yield finds in
your distribution network.
30 days. Real results. Or walk away.