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Revenue analyst agent for a small industrial manufacturer on HubSpot that joins distributor sell-through, ERP orders and spec-stage pipeline

A custom AI data agent reads HubSpot, the ERP's order and billing tables, and the product and spec database through MCP connectors, then answers revenue questions in plain English with the source and join logic shown. It also publishes a weekly executive digest that ties long spec-driven opportunities to the distributor orders they eventually become, so leadership stops arguing about whose number is right.

ROLEREVOPS / OPERATIONSPLATFORMHUBSPOT
INDUSTRYMANUFACTURING / INDUSTRIAL
DRAWN BYHACKING DEMANDISSUEDOCTOBER 23, 2026
THE JOB

What The Revenue Analyst does

A 30-person industrial components maker sells mostly through regional distributors and a few channel partners. HubSpot tracks spec-in work with engineers and contractors, the ERP holds the real customers, ship-to accounts and invoiced orders, and a separate product database holds part numbers, spec sheets and approved-equivalent lists. Nobody joins the three, so when the owner asks "how much of last year's specified pipeline actually shipped, and through which distributor?" the ops lead spends two days in exports and still gets challenged. The Revenue Analyst works for the RevOps and operations team and leadership. It owns a maintained crosswalk between HubSpot companies, ERP customer and ship-to IDs, distributor accounts and part numbers. It answers ad hoc questions in Slack or Teams with the query and sources attached, and it produces the Monday executive digest. It reads data and does not write orders, prices or ERP records. Where a mapping is uncertain, it flags the mapping for a person to confirm.

PLATFORM

Built on HubSpot

HubSpot is where specifiers, projects, and sales activity live, and Breeze is useful for summarizing deals and contact history inside the CRM. However, the questions this team asks depend on ERP orders, distributor sell-through, and part-level product data that HubSpot does not hold and should not be forced to hold. A custom AI build fits better. Read-only MCP connectors over a small staged warehouse let one agent join all three systems with governed SQL, while n8n handles the nightly loads and file ingestion. HubSpot stays the front end for sales: pull-through results are written back as deal properties, and Breeze can surface them to reps. Databox is optional if leadership also wants a standing visual dashboard alongside the digest.

TRIGGERS

What starts it

  • Monday 6:00 a.m. schedule kicks off the weekly executive digest after the ERP nightly sync completes
  • A team member asks a question in the shared revenue channel or in HubSpot's assistant panel
  • A HubSpot deal moves to Specified, Approved Equal, or Closed Lost, which prompts a lookup for matching distributor orders in the ERP
  • The nightly ERP sync finds new customer or ship-to records that do not map to a HubSpot company
  • Month-end close in the ERP is marked complete, which triggers a refresh of booked and invoiced revenue by channel
DATA

What it reads

  • HubSpot CRM: companies, contacts (engineers, specifiers, contractors), deals with spec stage, project name, and the distributor of record
  • ERP sales orders, invoices, and customer and ship-to master, read through a read-only database user or reporting API exposed as an MCP server
  • Product database: part numbers, product families, spec sheet versions, and approved-equivalent and competitor cross-reference lists
  • Distributor point-of-sale or sell-through reports (monthly CSV or EDI 867 files) landed in a shared folder or small warehouse
  • A crosswalk table in Airtable or the warehouse that maps HubSpot company IDs, ERP customer IDs, distributor branches, and project names
  • A metric definitions file covering terms like booked, shipped, invoiced, spec win, and pull-through, versioned and owned by RevOps
THE WORKFLOW

How it works, step by step

  1. Land and stage the three systems nightlyn8n pulls ERP orders, invoices, and the customer master, along with product database tables and any new distributor POS files, into a small Postgres or cloud warehouse. HubSpot syncs through its API. Raw data stays untouched. The agent only queries staged, read-only views through MCP connectors, so it never touches the live ERP during business hours.
  2. Maintain the account and project crosswalkEach night the agent proposes matches between new ERP ship-tos or distributor end-customer names and HubSpot companies or projects, using name, address, part numbers ordered, and the distributor of record. High-confidence matches are written to the crosswalk with the evidence attached. Low-confidence matches go to a review queue in Airtable instead of being guessed.
  3. Answer questions with the join shownWhen someone asks something like "which specified projects from Q1 have pulled through as orders, and through which distributors," the agent picks the governed definition, runs SQL against the staged views, and replies with the number, a short table, the systems it touched, the date range, and any unmatched records it excluded.
  4. Track spec-to-order pull-throughFor every HubSpot deal marked Specified or Approved Equal, the agent watches ERP and POS data for orders of the specified part numbers to the project's ship-to or region. It then records the order dates, quantities, and channel on a custom deal property, so long cycles show real downstream revenue rather than a stale close date.
  5. Build the Monday executive digestThe digest covers booked and invoiced revenue by channel and distributor against the prior period, the spec pipeline by stage and age, projects specified but not yet ordering past their expected window, distributors with falling sell-through, and data quality items such as unmapped ship-tos. Every figure links to its definition and query. It posts to the leadership channel and is emailed as a short summary.
  6. Log, reconcile and flag driftEvery week the agent reconciles its invoiced totals to the ERP's own revenue report for the same period. If the gap exceeds the tolerance RevOps sets, it holds the digest's revenue section, tells the ops lead, and lists the records driving the gap.
HUMANS IN THE LOOP

When a person takes over

  • Crosswalk review: the ops lead confirms or rejects low-confidence matches between ERP ship-tos, distributor end-customer names and HubSpot projects, because a wrong match inflates pull-through for the wrong sales rep or distributor.
  • Reconciliation failures: if digest revenue does not tie to the ERP close report within tolerance, the controller or finance owner decides whether the issue is a timing difference or a data error before the numbers go to leadership.
  • Distributor-sensitive questions: any request about a specific distributor's margins, rebates, or performance ranking goes to the channel manager before it is shared outside leadership, because these figures affect partner negotiations.
  • New metric definitions: when someone asks for a measure that is not in the definitions file (for example a new way to credit spec influence), the agent drafts a definition and RevOps approves it before the agent uses it.
GUARDRAILS

Rules it follows

  • Read-only access everywhere. The agent cannot create, edit, or delete ERP orders, prices, customer records, or HubSpot deals, except for the specific pull-through properties it is allowed to write.
  • The ERP is the system of record for customers, orders, and revenue. When HubSpot and the ERP disagree, the agent reports the ERP figure and names the discrepancy instead of averaging or choosing quietly.
  • Channel attribution rule: revenue from an order is credited to the distributor of record on the invoice. Spec influence is reported as a separate measure and is never added on top of distributor revenue, so the same order is not counted twice.
  • Distributor pricing, rebate, and POS data is confidential to each partner. The agent never shows one distributor's data in a view, export, or message that another distributor or an external rep could see.
  • Every answer states its time window, definition, source systems, and how many records were excluded as unmatched. If no governed definition exists, the agent says so and does not improvise one.
KPIS

How you know it works

  • Hours per week the ops team spends on manual exports and spreadsheet joins, measured before and after launch
  • Share of ERP invoiced revenue mapped to a HubSpot company and, where relevant, a specified project
  • Weekly digest variance against the ERP's own invoiced revenue report
  • Time from a leadership question to a sourced answer
  • Number of specified projects with tracked pull-through orders, compared with those still showing no matched orders
ROLLOUT

From pilot to live

  1. Pilot: one product family, one regionStage the ERP, product database, and HubSpot for a single product family and the two or three largest distributors. Build the first crosswalk with the ops lead and lock definitions for booked, invoiced, and spec win. Run the digest in parallel with the existing manual report for four weeks and compare the results line by line.
  2. Expand: all channels and pull-through trackingAdd the remaining distributors and channel partners, load POS files, and switch on spec-to-order pull-through for every open specified deal. Move question answering into the shared channel for the full RevOps and sales leadership group, and retire the manual report once variance stays within tolerance.
  3. Run and maintainOngoing ownership covers ERP schema changes after updates, new distributor file formats, crosswalk review queue upkeep, definition changes, and monthly accuracy checks against close. A short monthly review with RevOps covers unanswered questions and new metrics to add.
TOOLS IN THIS BLUEPRINT

Tools that fit

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This blueprint is a version of The Revenue Analyst (data agent) ↗

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Questions about this agent

Good questions.
Straight answers.

Our ERP is an older on-premise system. Can the agent connect to it safely?

Yes, without connecting to it live. A nightly job copies the needed order, invoice, and customer tables from a read-only database user or scheduled export into a staging warehouse. The agent queries only that copy through an MCP connector. The ERP sees one light read per night, and nothing can write back to it.

Distributors don't tell us who the end customer is. How can the agent connect a spec win to revenue?

It uses whatever evidence exists. That includes POS or 867 sell-through files where distributors provide them, ship-to addresses on drop-ship orders, specified part numbers appearing in a distributor's orders for the project's region and timeframe, and the distributor named on the HubSpot deal. Matches are scored, and low-confidence ones go to the ops lead to confirm. Where no evidence exists, the digest shows the project as specified but unconfirmed rather than claiming revenue it cannot prove.

Our buying cycles run 12 to 24 months. Won't the pipeline numbers always look stale?

The agent separates spec stage from order stage, so a project specified a year ago is not counted as lost or late just because its close date passed. It tracks expected order windows by project type and flags only the projects that have passed that window with no matched orders. That gives sales a short, specific follow-up list instead of an aging pipeline nobody trusts.

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