ERP for Pharma & Life Sciences
ERP for pharma and life sciences governs recipe, batch and quality processes so they hold up against GMP, GDP and computerized system validation requirements.
ERP for Pharma & Life Sciences: Requirements
- GxP compliance and validation
- Processes and the software itself must meet GMP and GDP principles. The ERP needs to be validated using a recognised approach such as GAMP 5, with documented test cases and a change control process.
- Batch and serial traceability
- Unbroken tracking from active ingredient through intermediate stages to the delivered pack, in both directions. Switzerland's Therapeutic Products Act sets the baseline, and exports to the EU add serialised pack identification under the Falsified Medicines Directive.
- Quality management integration
- Deviations, CAPA measures and release processes need to be linked to operational batch and stock data, not run in a separate QM tool disconnected from the ERP.
- Recipe and formula management
- Versioned recipes and manufacturing instructions with a clear approval history, so it stays traceable which version a given batch was produced under.
- Controlled storage and shelf life
- Cold chain and storage condition data plus expiry dates, with picking by FEFO (first expired, first out) so ageing stock does not sit unnoticed.
- Audit trail and electronic signatures
- Every change to quality-relevant data needs a complete audit trail. Companies with US market exposure also need electronic signatures compliant with 21 CFR Part 11.
ERP for Pharma & Life Sciences: Common problems
- Batch traceability takes hours instead of minutes because data sits in spreadsheets and paper logs
- Deviations and CAPA measures run in a QM tool disconnected from stock and production orders
- Recipe changes are not properly versioned, so it is unclear afterwards which batch followed which instruction
- Validation effort on every update is underestimated, so systems stay on outdated, less secure versions longer than they should
- Cold chain and expiry data are captured manually, and gaps between the system and physical stock only surface once product has expired
- Audit preparation ties up staff for weeks because evidence has to be pulled together from several disconnected tools
ERP for Pharma & Life Sciences: Matching systems
- GUS-OS Suite
- Purpose-built for the regulated process industry, combining ERP with batch, quality and document management designed around GxP requirements.
- CSB-System
- Industry ERP for the process industry with preconfigured batch management and traceability, used among others in pharma and chemicals.
- SAP S/4HANA
- Suits larger pharma and life sciences companies with international sites that need batch management, quality management and validation at enterprise scale.
Pharma and life sciences form one of the pillars of the Swiss economy. Chemicals, pharma and life sciences together reached export revenue of around CHF 152 billion in 2025, roughly 53 percent of all Swiss exports. The Basel region is by far the largest cluster: around two-thirds of Swiss pharmaceutical value creation happens there, anchored by Novartis and Roche alongside a broad base of SME suppliers and contract manufacturers. Swissmedic, as the national regulator, sets the framework that IT-supported manufacturing and distribution processes need to align with. For SME suppliers around the large pharma groups, GxP compliance is not optional, it is a precondition for working with those clients.
ERP for Pharma & Life Sciences: Frequently asked questions
Does a pharma company in Switzerland need specialised ERP, or is a standard ERP enough?
A standard ERP without batch, recipe and validation functionality usually falls short. What matters is that the system supports GxP compliant processes and can be validated using a recognised approach such as GAMP 5, rather than bolting these requirements on afterwards.
What does GxP compliance mean for choosing an ERP system?
GxP covers good practice frameworks such as GMP and GDP. For an ERP this means a complete audit trail, versioned recipes, batch and serial traceability, and a documented validation of the system itself, not just of the individual processes.