# Revomo Notebooks: governed commercial analysis > Analysis on live commercial data that is finance-ready by construction. Every number traceable to the record it came from. Source: https://revomo.ai/notebooks/ --- Featured capability · Notebooks · RV·2026·NB ## The notebook that ships its own strategy . Live queries, models, charts and prose on governed commercial data, then forecasting, prescriptive optimization, guardrails, governed execution and measured value, in the same living document. The document *is* the strategy, and the strategy ships. Watch a strategy build itself ↓[See it on your data](https://revomo.ai/contact/) SPECIMEN RUN · **NORTHEAST DISTRIBUTION** · GOAL +200 BPS · VOLUME TOLERANCE −1.0% Revomo Notebooks: FY26 Margin Strategy · Northeast Distribution Notebooks / Commercial strategy / **FY26 Margin Strategy: Northeast Distribution** FY26 Margin Strategy: Northeast Distribution **Live on the spine Compiled with Copilot Every figure cites a governed record Last run: today, 06:14 This document is the strategy, not a slide about it. The data, the model, the optimization, the guardrails and the results live here, and they stay live after the meeting ends. **Goal.** Recover 200+ bps of pocket margin in Northeast Distribution by Q2, without giving up more than 1.0% of volume. Constraints and floors below are the same governed records the business runs on. Copilot I bound the commercial context for **Northeast Distribution**, six sources, one spine. Everything below computes on these records, not on an extract. **ERP** invoices · 24 mo **COST** vendor price files **REB** rebate agreements **FRT** freight lanes **CRM** quotes & wins **CTR** contract terms 184 customers · 1,842 SKUs · 96,412 transactions · ontology v2026.4 Analyze ### Where the margin leaks The part every good notebook can do, list to pocket, computed live: Standard list $11.42M Discounts off list −$0.86M Freight absorbed −$0.41M Rebates & programs −$0.33M **Pocket margin** $9.82M · 20.4% **Two concentrations.** Freight running below cost on 41 lanes (−$76K/yr) and 184 accounts priced under the corridor (−$92K/yr) account for 84% of the recoverable gap. Each line item traces to its record. ** A finding and a chart aren’t a strategy. Ask for one. Model the recovery → Max recovery within −1% volume Copilot Model ### Scenario model, what happens if we act cell 04 · predictive · *trained* **volume_response** = train(transactions_24mo, method=*'gradient_boosting'*)**backtest**: MAPE 4.1% · holdout Q1 · elasticity by segment × SKU family ** **Reprice freight terms** · +$76K/yr · vol −0.2% ** **Corridor discipline** · +$92K/yr · vol −0.4% ** **List realignment** · +$46K/yr · vol −0.2% Toggle levers, the forecast, the band and everything downstream recompute from the model, not from a slide. Optimize ### Prescriptive optimization, the exact moves cell 07 · discrete optimization · *solved 2.4s* **maximize** Σ pocket_margin**subject to** Δvolume ≥ −1.0% · Δprice ≤ 4% per account · corridor floors · 37 contract locks**solver**: MILP · 1,842 SKUs × 184 accounts · 339,128 decision variables Recovery / yr +$0K Pocket margin +0 bps Volume impact 0% SKUs held to term 0 **The optimizer respects the same guardrails the business does**, because they are the same records. No blanket percentage; 1,412 SKUs move, each inside its corridor, 37 held to contract. Govern ### Guardrails, written into the operating system Copilot `RULE·NE·FLOOR`Pocket GM ≥ 18% on all Northeast Distribution quotes DEPLOYED ✓ `RULE·NE·ESC`Moves > 4% per account route to RVP with model context attached DEPLOYED ✓ Execute ### Governed execution, not an email thread PA‑2026‑118 · price action · *staged* Draft ✓ → Validate ✓ → Approve ✓ → Publish · Oct 1 184 customers · 1,412 SKUs · effective Oct 1. Every quote, order and price list downstream inherits it, the strategy and the transaction system are the same system. Measure ### Did it work? The notebook keeps score. **Week 12: +205 bps realized against +218 modeled, 94% capture.** The variance decomposes to two national-account exceptions, both cited. The next notebook starts smarter than this one. RV·2026·NB·001 · SPECIMEN, illustrative data, real mechanics every cell · every figure · on the record ### Analysis is the floor, not the ceiling. A strategy lives in stages, find it, decide it, ship it, prove it. Revomo Notebooks run every stage in one governed document, because the document runs on the spine. 01 Analyze SQL, Python, charts and prose on live, governed commercial data. No extracts, no stale copies: every figure cites the record it came from, so the analysis survives the meeting. 02 Decide Forecast demand response, train predictive models, and run discrete optimization against real business constraints (corridor floors, contract locks, volume tolerance) because the constraints are records on the same spine. 03 Execute Write guardrails to the Rule Engine, stage governed price actions, and measure realized value against the model, in the same document, which stays live and keeps score. ### Bring a business goal. Leave with a running strategy. In the first weeks of an engagement, we build this notebook on your data, your leak, your constraints, your optimizer run, your governed action. [See Revomo in action](https://revomo.ai/contact/)[Start with a free margin assessment](https://revomo.ai/margin-assessment/) Plate NB · Series 2026 · Notebooks · RV·2026·NB