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Case study · Technical Safety Services

DealHub CPQ implementation and ownership

Led the end-to-end rollout of DealHub CPQ as the quoting backbone of a national services company, then became the single owner for every change and escalation since.

Period
2023 – present
Role
Implementation lead · system owner
Results

7,659

opportunities quoted

4,962

opportunities won

$27.2M

revenue through the platform

Figures are those published in my resume. Architecture is described at the pattern level: no confidential configuration, pricing logic, or customer data appears on this site.

A national sales organization spanning three business divisions needed one quoting platform connected to Salesforce. Without CPQ, pricing, quote documents, and approvals depend on individual reps and spreadsheets, and the link between what was quoted and what the CRM records is unreliable.

The platform also had to survive contact with the field: different divisions sell different services with different pricing structures, and a quoting tool that only fits one of them does not get adopted by the others.

  1. Ran discovery of the quoting workflows division by division before configuration started, so the playbooks, pricing structures, approval paths, and document templates reflected how each team actually sells.

  2. Project-managed the implementation: owned the plan, directed the implementation contractors on scope and deliverables, and validated every deliverable against the discovery requirements before accepting it.

  3. Built the Salesforce integration so opportunities, quotes, and outcomes stay in sync in both directions and Salesforce remains the system of record.

  4. Wrote the integration tooling myself rather than depending on vendor UIs: Python clients for the Salesforce SOAP, REST, Tooling, and Metadata APIs, and a DealHub REST client that pages the product catalog and polls its asynchronous exports, so the catalog and pricing rules stay reconciled against the service-management system.

  5. Drove the rollout with hands-on training and enablement across the organization, then formalized governance so all CPQ changes and escalations route through a single owner.

From discovery to a governed quoting platform
  1. Discovery by division Watched each team quote before configuring anything.
  2. Configure Playbooks, pricing structures, approval paths, document templates.
  3. Integrate with Salesforce Two-way sync; the CRM stays the system of record.
  4. Build the API tooling Python clients for the Salesforce SOAP, REST, Tooling, and Metadata APIs; a DealHub REST client that pages the catalog and polls async exports.
  5. Roll out Hands-on training and enablement across the organization.
  6. Govern Every change and escalation routes through one owner. gate

DealHub became the backbone of quoting at TSS. Under my ownership the platform has quoted 7,659 opportunities and won 4,962 of them, representing $27.2M in revenue.

Every change request and escalation since go-live has routed through me as system owner, which keeps configuration coherent across divisions and gives IT and sales a single point of accountability.

The implementation created the foundation the pricebook automation program and the executive analytics layer are built on.

Share of quoted opportunities won

64.8%

4,962 won of 7,659 quoted

64.8% · 4,962 of 7,659
won quoted

Opportunities quoted through DealHub under my ownership, and the share that closed won: $27.2M in revenue.

Where it sits

The highlighted nodes are the systems and people this project touched.

works opportunities submits field leads creates opportunities change requests scope · validation two-way sync price books pricing rules closed-won data CRM + quote data history forecast + intervals models analytics Sales team national org · 3 divisions Field technicians on-site at customer facilities IT & external consultants change control I govern Salesforce CRM system of record Tech Opportunity Program field leads into the pipeline Pricebook automation Python · 48 modules DealHub CPQ quoting backbone Commissions automation closed-won to payout Snowflake · MS SQL Server analytics data layer Revenue forecasting ensemble · ETS · LightGBM · foundation models Power BI executive dashboards CEO · CFO · VP Sales Ops decisions in, rules out