Batch and expiry tracked manually
Where batch and expiry are recorded by hand, recall response and stock rotation both depend on the accuracy of that habit.
Healthcare & pharma
Accuracy is not a performance target here.
In healthcare and pharmaceutical operations, an inventory error is a clinical risk and a traceability gap is a regulatory exposure. The systems work is about making the correct action the easy one.
Operating challenges
Where risk accumulates.
Risk accumulates where a control depends on a person remembering: expiry checks, batch recording, cold-chain confirmation and controlled-item handling.
Cold-chain evidence that is not connected
Temperature is monitored, but the evidence is not attached to the consignment it belongs to.
Distribution across many delivery points
Clinics, pharmacies and wards each hold stock, and the central position is an approximation.
Administrative load on clinical staff
Data entry designed for the system rather than the ward takes time away from care and gets skipped.
Fragmented supplier and procurement data
Pricing, contracts and lead times sit in separate places, so purchasing decisions are made without the full picture.
Transformation opportunities
What reduces the risk.
Batch and expiry as system data
Recorded at receipt and carried through movement, so rotation and recall are queries rather than searches.
Connected cold-chain evidence
Temperature records attached to the consignment, available when the question is asked.
Visible distributed stock
Stock at every delivery point visible centrally, so shortages and expiry are seen before they bite.
Capture designed for clinical settings
Fast, low-friction data capture, because anything slower gets worked around.
Consolidated procurement data
Contracts, pricing and lead times in one place so purchasing decisions use complete information.
Relevant capabilities
What we typically bring.
ERP & business systems
Discovery, selection, implementation, optimization and integration across finance, supply chain and operations — with the platform chosen on fit, never assumed in advance.
Integration & managed services
APIs, data flows and the continued operation of what has been delivered, under explicit service ownership rather than informal goodwill.
Custom software development
Applications, portals, workflow tools and internal systems built where no packaged product matches how the business actually works.
E-commerce & digital commerce
Storefronts, B2B commerce, marketplaces and order flows connected to the systems that hold the stock, the pricing and the ledger.
Typical systems and processes
The estate this work touches.
Use cases
Work that comes up repeatedly.
Batch traceability
Forward and backward traceability from receipt to delivery point, built for the recall scenario.
Delivery-point stock visibility
Stock at clinics, pharmacies and wards visible centrally, with expiry surfaced before it becomes waste.
Cold-chain evidence linkage
Attaching temperature records to consignments so the evidence exists when it is needed.
Procurement consolidation
Contracts, pricing and lead times brought together so purchasing decisions use one source.
Document processing
Extracting structured data from certificates, delivery notes and regulatory paperwork at volume.
How we deliver
Change that can be verified.
Where a system holds data with clinical or regulatory consequence, changes are documented, tested and reversible, and the pace is set by that requirement rather than by a delivery calendar.
Establish the obligation
Identify what must be traceable and provable, and what currently produces that evidence.
Map the movement
Follow stock from receipt to point of use, including the manual records.
Design
Design capture that is faster than the workaround, or it will not be used.
Implement
Deliver in verified increments with documented change control.
Operate
Support with response expectations matched to clinical criticality.
Why Launch Soft Solutions
Accuracy designed into the workflow.
Capture faster than the workaround
Controls only hold if following them is quicker than avoiding them. That is a design constraint.
Traceability as a data model
Batch and custody are modelled properly rather than added as fields, which is what makes recall a query.
Change you can evidence
Work on systems with regulatory consequence is documented, tested and reversible, so your own validation and quality processes have something to work from.
Start with one traceability question.
Pick a batch and ask where it went. How long the answer takes is usually the whole assessment.