Your Durham biotech's reagent shipment sat on a dock for six hours, and nobody knew until it failed QC
Custom supply chain software for a Durham life-sciences firm typically runs $90,000 to $200,000 over 5 to 9 months. SAP and generic SCM tools manage procurement and logistics for durable goods well. They lack what a biotech supply chain demands: cold-chain visibility, lot-level traceability from supplier to bench, and excursion handling where a six-hour temperature lapse can ruin a reagent and a study with it.
SAP and generic SCM platforms optimize for cost, lead time, and inventory across a supply chain of durable parts. A Durham biotech's supply chain has a different failure mode: a temperature-sensitive reagent that loses integrity if it sits on a warm dock, and a lot that must be traceable from the supplier through receiving, storage, and use. Generic SCM doesn't watch temperature and doesn't carry lot lineage to the bench.
So a cold-chain excursion goes unnoticed until the reagent fails QC, by which point it may have been used in a study. You can't trace which lots were affected or which experiments touched them. The supply chain system told you the box arrived; it didn't tell you the box arrived ruined.
Where the off-the-shelf tools fall short
- Cold-chain temperature excursions go unseen until a reagent fails QC
- Lot traceability from supplier to bench isn't carried through SAP or generic SCM
- When a lot is compromised, you can't identify which studies used it
- Receiving confirms a box arrived but not whether it arrived viable
Custom supply chain: what Durham teams actually get
Custom supply chain software for biotech tracks cold-chain integrity and lot lineage end to end: temperature monitored in transit and storage, excursions flagged immediately, and every lot traceable from supplier to the specific experiment that used it. When something goes wrong, you know exactly what's affected before it contaminates a study.
Feature priorities for Durham teams
Supply Chain services we deliver in Durham
Everything a supply chain build here can cover: supply chain visibility, distribution software, supply chain management software, logistics software and procurement software.
- Cold-chain integrity directly affects whether reagents and studies are valid
- Lot traceability to the bench is a real requirement
- A compromised lot must be traced to affected experiments fast
- Generic SCM only confirms arrival, not viability
- Your supply chain is durable goods with no cold-chain risk
- SAP or a generic SCM meets your procurement and logistics needs
- Lot-to-bench traceability isn't required
- You don't have the volume to justify a custom build
The honest cost picture for Durham
| Project scope | Typical cost | Timeline |
|---|---|---|
| Cold-chain visibility and lot-traceability module | $90k to $140k | 5 to 7 months |
| Full SCM with IoT monitoring and LIMS integration | $140k to $240k | 7 to 10 months |
| IoT sensor integration and infrastructure | $25k to $50k | 1 to 2 months |
Timeline: what happens, and when
Exactly what you get
A supply chain system built for cold-sensitive science: temperature monitored from the supplier's dock through your storage, excursions flagged the moment they happen and linked to the affected lots, and full traceability from supplier to the bench where a lot was used. When a lot is compromised, you know which studies are at risk immediately. It connects to your inventory management software, ERP, warehouse management system, and business intelligence dashboards.
How to choose a developer in Durham
Cold chain and lot traceability are the whole point, so vet for both. Ask a candidate how they'd catch a temperature excursion on a reagent in transit and instantly link it to the lots and studies at risk. A Durham partner who serves biotech should talk about IoT sensors, excursion thresholds, and lot lineage without prompting. A generic SCM integrator who's never handled cold chain will build you a system that confirms boxes arrive, not whether they arrive usable.
- Cold-chain temperature visibility in transit and storage with instant excursion alerts
- Lot traceability from supplier through receiving, storage, and use
- Immediate identification of which studies a compromised lot touched
- Receiving that confirms viability, not just arrival
- Supplier quality data tied to lots and outcomes
- Significant cost and a longer build than a generic SCM subscription
- Requires IoT temperature sensors and integration to be effective
- You own the system and its integrations as suppliers change
- For non-cold-chain, durable-goods supply, generic SCM is sufficient
- !A vendor with no cold-chain or IoT-monitoring experience, ask for a comparable build
- !No lot-traceability-to-bench concept, ask how they'd trace a compromised lot to studies
- !They treat receiving as arrival confirmation only, ask how they verify viability
- !No plan to integrate ERP and LIMS, ask how supply data reaches the lab
- !Generic SCM pricing with no cold-chain handling, ask what's actually included
If supply chain is on the roadmap, project management, helpdesk & ticketing, crm usually follow within the year. Budget them as one conversation.
Rohan advises mid-market and enterprise teams on ERP, CRM and custom software, and has led delivery on dozens of business-software builds.
Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.
Frequently asked questions
Why doesn't SAP handle cold chain?
SAP optimizes procurement, logistics, and inventory for durable goods, but it doesn't natively monitor temperature in transit or carry lot lineage to the bench. For a Durham biotech, cold-chain integrity and lot traceability are the requirements, and they sit outside generic SCM's design.
How does cold-chain monitoring work?
IoT temperature sensors track shipments and storage continuously, and the system flags any excursion the moment it crosses a threshold, tying it to the specific lots exposed. That turns a silent failure into an immediate, actionable alert before a reagent reaches a study.
What is lot-to-bench traceability?
It's tracking a lot from the supplier through receiving, storage, and into the specific experiments that used it. So when a lot is compromised, you can instantly identify which studies are affected, rather than discovering the problem after the fact with no way to scope it.
Do we need IoT sensors?
For cold-chain visibility, yes, the system needs real temperature data from transit and storage to be useful. Budget for sensor hardware and integration. Without it, you're back to confirming arrival without knowing viability, which is the gap you're trying to close.