Data with critical errors
47% of records contain critical errors and only 3% meet minimum quality standards. Commercial decisions based on inaccurate data erode margin with each cycle.
Nagle, Redman & Sammon / HBR 2017Chemicals and Specialties
Chemical specialty companies that integrate specification, TCO, and cost-to-serve capture 250–400 bps more in EBITDA. Most still operate SDS, pipeline, and technical support in silos. Bunker connects this chain with Bunker Protocol, Salesforce, and AI.
Chemicals by the numbers
of records contain critical errors; only 3% meet minimum standards
Nagle, Redman & Sammon / HBR 2017in real REACH compliance costs; 4× the European Commission's initial estimate
Rovida & Hartung / Johns Hopkins-ALTEX 2009The silent risk in chemicals
When commercial, technical, and supply operate in separate systems, every negotiation happens without full context. The result is margin that quietly escapes - by application, by account, and by formulation.
The real scenario
The application engineer specifies, the commercial team negotiates, the technical team follows up - and none of the three can see what the others did. Every context-free handoff is wallet share lost per application.
47% of records contain critical errors and only 3% meet minimum quality standards. Commercial decisions based on inaccurate data erode margin with each cycle.
Nagle, Redman & Sammon / HBR 2017Real regulatory compliance costs can be four times higher than initial estimates. Without document traceability, every audit becomes an operational crisis.
Rovida & Hartung / Johns Hopkins-ALTEX 2009Between commercial, laboratory, production, and supply, every handoff happens without history. The customer repeats information, the proposal is delayed, and the technical rep has no pipeline visibility.
15% to 25% of revenue is compromised by poor-quality data. In chemicals, where margin varies by formulation and application, the impact is even more severe.
Redman / MIT Sloan 2017The sales cycle is technical and long. Trials take months. Qualification stalls on the customer side. And cost-to-serve per application is a black box. The Bunker Protocol connects commercial, application engineering, and supply in a single architecture: with traceability by formulation, TCO view per account, and pricing governance that distinguishes commodity from specialty.
We don't sell CRM. We design the operation that transforms technical specification into traceable pipeline.
Bunker Protocol applied to Chemicals
Evidence
in Return on Sales with dynamic pricing by product-formulation-customer-transaction combination
McKinsey Chemicals Practice 2024in EBITDA margin expansion in 12–24 months with end-to-end commercial rewiring via analytics and GenAI
McKinsey: "Rewiring for growth in chemicals" 2026in cost-to-serve for chemical specialties via commercial channel digitalization and quote automation
McKinsey: "Demystifying digital in chemicals" 2018Bunker designed the complete CRM architecture on Salesforce, integrated processes between commercial, laboratory, and supply, and installed pipeline governance with auditable predictability.
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Without Bunker
With Bunker
The first step is a technical-commercial diagnostic. No generalism, no talk of "customer journey" as if it were retail. We map where your operation loses margin between formulation, application, and cost-to-serve.
Frequently asked questions
The diagnostic maps the real cycle - from formulation request to customer approval - and identifies where each bottleneck consumes margin and time. The architecture is designed to accelerate handoffs between laboratory, application engineer, and commercial, not to simplify what is complex by nature.
We are not a regulatory consultancy. But we design the operation so that compliance is native: expiry alerts, batch traceability, and interaction audits are embedded in the flow - not in parallel spreadsheets.
It works especially well in that scenario. The platform organizes formulation history by account, connects application engineer and commercial with technical context, and prioritizes the portfolio by contribution margin - not by volume.