AI Native Pricing and Customer Intelligence Platform for Industrials
Aristotle connects to your data and knowledge, shows where value is leaking by lever, and provides actionable recommendations. Quantified results in 30 days.
| Account | Signal | Fit | Window |
|---|---|---|---|
| Account A | New plant announced | 92 | Q1 |
| Account B | Hiring 40 engineers | 86 | Q1 |
| Account C | Capex up 22 percent | 81 | Q2 |
| Account D | New CFO appointed | 74 | Q2 |
| Account E | Supplier change | 68 | Q3 |
| Account F | Won peer contract | 61 | Q3 |
Clients
MeyersTire SupplyGrowth is harder for industrial companies.
Core markets grow with GDP at best. The next $100M has to come from price, from adjacent markets and from accounts no one has had time to work.
Share gains, adjacent markets and new accounts are where growth now sits, and most teams have no evidence-based way to find and rank them.
List prices move once a year, quotes are negotiated one at a time, and cost moves monthly. No one can see realized price by customer, product and channel.
Reps call the customers they know. New logos, cross-sell and the long tail go unworked because nobody has time to research them.
The last growth or pricing project cost more than the team that would have run it, and nothing stayed behind. For a PE-backed company, the value creation plan leads with growth and pricing, and the portfolio company has one analyst.
One Platform. Three Connected Solutions.
Pricing Intelligence, Customer Intelligence and Forecasting, built on one common platform.
Finds margin leakage in every quote and recommends the right price for each customer and product.
See Pricing Intelligence arrow_forwardRanks the accounts most likely to buy and gives sellers a cited brief for each one.
See Customer Intelligence arrow_forwardForecasts demand by customer and product and feeds the sales and operations plan.
See Forecasting arrow_forwardSoftware that keeps running, with the expertise to make the change stick.
| Aristotle | Traditional SaaS | Strategy consultancies | Spreadsheets and a pricing analyst | |
|---|---|---|---|---|
| Time to first result | check_circleUnder one month | Six to twelve months of implementation | Three to six months | Depends on competing priorities |
| Scope | check_circlePricing, growth and forecasting on one model | Pricing only | One question per project | Reporting on past performance |
| What it asks of your team | check_circleOne analyst, 2 to 4 hours a week | A project team for a year | A client team for the project | The analyst's whole week |
| What remains afterwards | check_circleLive applications inside the client's systems | Software that needs a specialist team | A report | Spreadsheets |
| Commercial model | check_circleAnnual license after a 30-day diagnostic, impact measured with finance | License plus large implementation fees | Fixed project fees | Headcount |
| Data ownership | check_circleClient owns the data and the models | Held by the vendor | Proprietary frameworks | Client owned |
Topline impact generated for clients. Pricing clients report a 12x ROI in year one. Reference calls available.
$700M components manufacturer selling through distributors
flipTap to read moreQuote-level price discrepancies across distributor tiers found, and a regular price book refresh built in.
Read the story arrow_forward$2B industrial manufacturer
flipTap to read moreEight growth plays across 30 end markets and 80 acquisition targets.
Read the story arrow_forwardPrivate equity add-on acquisition
flipTap to read moreMarket sized bottom up, with white space, cross-sell and yard synergies quantified.
Read the story arrow_forward$4B semiconductor manufacturer
flipTap to read moreForecast accuracy up 10 points across 6,000 customer and product pairs.
Read the story arrow_forwardResearch agents, one commercial data model and expert review. Every recommendation traces to its source.
Each answer carries its sources and calculations, so finance and sales leaders can verify a number before they act on it.
Won and lost deals, realized prices and actual demand flow back into the models every quarter.
Aristotle-hosted single tenant or the client's own cloud, under audited controls, with the client owning the data and the models.
An agent run turns a commercial question into a checked recommendation in minutes.
Agents plan the work, read the client's data and outside sources, run the analysis and check every figure. A specialist then reviews the result before it reaches the price book or the CRM.
The question is split into parts that can each be answered and checked.
Agents read the data and outside sources and run the analysis.
Every figure is traced to its source before it can be used.
A specialist approves the recommendation before anything changes.
Thirty days to a sized opportunity. Ninety days to the first results.
A 30-day diagnostic on your own data. First price actions and account plans live by day 90, each signed off by a specialist and your owner. Every quarter the models retrain on results and the next tranche is sized.
Connect
Read only links or flat-file extracts from ERP, CRM, quoting and finance data, into one tenant.
Diagnose
The applications build the data model and size the opportunity in margin and revenue.
Recommend
Prices, account plans and forecasts reach the people who decide, with the evidence attached.
Act
Approved changes flow into the price book, CRM and planning tools.
Learn
Results feed back into the models, which retrain and sharpen each quarter.
An executive sponsor. One pricing or finance analyst for 2 to 4 hours a week. One IT contact for extracts. 24 to 36 months of invoice lines, quote lines, cost, customer and product master.
Realized price lift and revenue against a baseline agreed with finance before deployment, net of volume and mix.
Aristotle-hosted single tenant, or your own cloud on AWS, Azure or Google Cloud. On-premise ERP and flat-file extracts supported.
30-day diagnostic. Deployment fee. Annual license. Reference calls with current clients before you commit.
Client data stays in one tenant, and the client owns the data and the models.
Every query, agent step and approval is recorded.
Aristotle-hosted, or deployed in the client's own cloud account on AWS, Azure or Google Cloud.
Data, models and outputs belong to the client.
Each number links to its source and calculation for audit and review.
Built on 50+ pricing and growth programs for industrial companies.
Where the team comes from
Size the opportunity on your own data in 30 days.
The diagnostic connects to existing systems and sizes the pricing and growth opportunity.