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Ad Hoc Revenue & Margin Querying in Enterprise Sales Operations

A nationwide medical equipment distributor managing 45 regional sales territories, 12,000 hospital accounts, and over 150,000 quarterly order transactions in PostgreSQL databases.

Runs onBodham

sales analytics turnaround time cut: 14 dayssales analytics turnaround time cut
routine sales reporting tickets from central BI engineering: 90%routine sales reporting tickets from central BI engineering

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Regional sales leaders submitted ad hoc data requests to the central BI team for territory revenue splits, discounting trends, and product margin breakdowns.
BI teams faced a 2 week ticket backlog, forcing sales executives to prepare quarterly territory reviews using outdated month end static spreadsheets.
Inability to inspect deal level gross margins quickly resulted in uncoordinated discounting, reducing regional operating profitability by 4.2%.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Conversational Natural Language to SQL Translation

Sales directors type plain English queries directly into Bodham to inspect complex relational PostgreSQL sales tables instantly.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Sales analytics turnaround time cut from 14 days to under 15 seconds per inquiry.
Eliminated 90% of routine sales reporting tickets from central BI engineering backlogs.
Recovered 3.8% in operating margins through immediate detection of off guideline customer discounting.

Capabilities this relies on

nl to query
system connectors
workflow orchestration
evidence audit trail

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