Inefficient field force allocation
More than half of target physicians receive inadequate visit frequency. Without territory intelligence, the field force spends time where it generates no return.
Manchanda et al. / JMR 2004Life Sciences, Pharmaceutical & Consumer Health
The rep visits. The prescriber doesn't remember. SFE measures frequency, not engagement.
Top-quartile reps generate 12× more revenue than the bottom quartile: the difference is coaching and intelligent frequency, not visit volume. Bunker connects the medical panel, CLM, and compliance with the Bunker Protocol, Salesforce, and AI applied to SFE.
Life Sciences by the numbers
22%
of late-stage drugs fail for commercial, not scientific, reasons: 74 out of 344
Hwang et al. / JAMA Internal Medicine 2016≥50%
of target physicians in pharma receive inefficient sales force allocation
Manchanda et al. / JMR 2004US$33B
in financial penalties over 14 years; incurred by 85% of large pharma companies
Arnold et al. / JAMA 202041%
more accuracy in pharmaceutical demand forecasting with machine learning
Yani & Aamer / IJPHM 2023The silent risk in Life Sciences
One in five late-stage drugs fails for commercial, not scientific, reasons. Is your operation prepared to avoid being the next?
When the sales force, medical intelligence, and customer service operate in separate systems, every interaction with the prescriber happens without context. The result is inefficient allocation, fragile compliance, and margin that erodes with each cycle.
The real scenario
Four fractures that erode share and compliance with every promotional cycle
Each gap compounds between one medical panel and the next. By the time the rep arrives without the prescriber's history, the KOL has already been approached by the competition - and the engagement window closes.
Compliance as accumulated risk
US$33 billion in penalties over 14 years. Incurred by 85% of large pharma companies. Without governance built into the workflow, every interaction is a latent regulatory risk.
Arnold et al. / JAMA 2020Imprecise demand forecasting
Traditional demand forecasting systematically underperforms. Machine learning improves accuracy by 41%, but requires integrated data that most operations do not have.
Yani & Aamer / IJPHM 2023Key accounts without a consolidated view
Multiple stakeholders in each account, different teams interacting without a shared history. Every prescriber visit starts from scratch - and the engagement opportunity is lost.
Integrated LifeSciences Architecture
Bunker
We have worked closely with SFE, CLM, and medical panels. We know where context is lost between the field and medical intelligence.
The rep heads out on route without the account's frequency history. Each BU runs CRM with its own engagement rules. The KOL gets visited three times by the same group and nobody knows. And the district manager builds the territory map in Excel because IQVIA doesn't talk to Veeva.
We don't sell CLM or CRM. We design the operation that turns medical visits into trackable engagement - with compliance built into the workflow.
- +300 CRM projects: including life sciences operations with SFE and compliance
- +120K users impacted, from field reps to KAM and MSL
- Commercial governance deployed across 8 countries with ANVISA regulatory compliance
- Direct experience in pharmaceuticals, medical devices, and consumer health
Bunker Protocol applied to Life Sciences
Four phases. One architecture. Auditable results.
Evidence
Auditable results in a context similar to yours
5–10%
revenue uplift with data-driven SFE and territory segmentation by prescription potential
McKinsey: "Pharma commercial engine" 202212×
more revenue generated by the top-quartile reps vs. the bottom quartile: a gap captured through coaching and intelligent frequency
ZS Associates: "SFE Benchmark" 2023−65%
reduction in in-person rep-HCP frequency with no loss of share, replacing visits with orchestrated omnichannel engagement
McKinsey: "Omnichannel in medtech and pharma" 2023Farmax: national pharmaceutical manufacturer with horizontal pricing, rebates and commercial policy spread across ERP and spreadsheets, with untraceable approvals.
Bunker implemented Salesforce Sales and Service Cloud with proprietary accelerators for horizontal pricing and trade funds, bidirectional integration with the Totvs Datasul ERP and a corporate 2h SLA for critical incidents.
Request access to additional information about this and other cases compatible with your context.
Request a compatible caseTransformation
From fragmented SFE to a connected engagement architecture
Without Bunker
Disconnected SFE
- Field and HQ with separate data and conflicting versions of engagement
- Key accounts without consolidated history across teams
- Compliance managed outside the operational workflow
- Territory allocation by intuition, not intelligence
- Demand forecasting without commercial data integration
With Bunker
Integrated engagement architecture
- Unified view of prescriber, account, and territory across field and HQ
- Key accounts with shared history and value-based prioritization
- Compliance built into the workflow with auditable traceability
- Intelligent field allocation by territory, potential, and frequency
- AI applied to daily routines with alerts, summaries, and action recommendations
Every promotional cycle without field governance costs compliance, share, and engagement that won't come back.
The first step is an SFE diagnosis. No commitment, no generic deck. Evaluate whether your field operation justifies a different architecture.
Frequently asked questions
Answers for Life Sciences
01 Does the protocol replace the CLM we already use? Expand
It doesn't replace - it connects. The CLM remains the content channel for the prescriber. The protocol integrates CLM, field data, and account intelligence so the rep's visit is prepared with context, not a generic script.
02 How does it work with the regulatory restrictions on medical promotion? Expand
Regulatory compliance is an architecture premise. Visit frequency alerts, free sample windows, and interaction traceability are embedded in the workflow - not handled in a post-hoc audit. Every field action is trackable and auditable.
03 Is it possible to measure the real effectiveness of the field force, beyond frequency? Expand
That is the premise. The protocol cross-references frequency with prescriber engagement, share of voice, and prescription trends - so SFE measures impact, not just activity. The KAM starts prioritizing by outcome, not by geographic route.