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What is Stratinis used for?
Stratinis is price optimization and revenue management software delivered as a cloud service. It is used to analyze, set, and execute prices at scale—especially when a company has many prices to manage or sells across multiple countries and currencies. Its stated focus is helping businesses update large price lists, find more optimal price points, and keep control of discounts and rebates through to net revenue.
What it is typically used for
- Managing large price volumes: The site says it is built for thousands—even millions—of prices, discounts, and pricing rules, which suits catalogs or customer bases too large for spreadsheets.
- Price optimization: Testing whether a product or service is priced too low or could bear a higher price without losing overall revenue.
- B2B revenue management: Controlling the discounts and rebates that turn list prices into net prices, and optimizing net revenue rather than headline prices.
- Price increase planning: Simulating increases before rollout, identifying price points, and limiting discounting so the increase actually takes effect.
- Quotes and deals: Letting sales teams simulate and optimize individual deals while staying within corporate pricing policy.
- International pricing: Coordinating prices, discounts, and rebates across countries, including key-account pricing, while reducing grey-market and pricing risks.
- Waterfall analytics: Seeing how list price becomes net price through discounts and rebates, and how that flows to profitability, across historical, current, and future prices.
- Approval workflows: Running iterative simulation and approval of price changes as an ongoing process.
Who it fits, and the trade-offs
It is aimed at pricing, finance, and commercial teams in B2B or multi-market businesses where price complexity is the bottleneck—not at small firms with a short, stable price list, where the setup effort and process discipline would outweigh the benefit. Because it is cloud-delivered, the site emphasizes fast deployment and predictable cost with Stratinis handling IT tasks; the trade-off is that pricing decisions still depend on your own data quality and on staff adopting the workflows. The vendor's own headline figures (+250M prices and discounts, +50M pricing rules, +500% ROI) are marketing claims, so treat them as directional rather than as guarantees for your business.
A practical next step
Before requesting a demo, assemble one real pricing case—for example, a product line sold in three countries with tiered discounts—and ask to see it handled end to end: price update, optimization, discount control, and waterfall view. That single test shows whether the workflow matches how your team actually approves prices.
How can I simulate a price increase before rolling it out to customers?
Use Stratinis' price-increase simulation feature to model the change before it reaches customers: the site describes simulating price increases before implementation, identifying optimal price points, and controlling discounting so the increase isn't eroded. The practical workflow is to test candidate increases against your price, discount and rebate data, watch the effect on net revenue rather than list price alone, then roll out through the approval workflows the software provides.
A concrete way to run the simulation
- Define the scenario. Pick the products, customers and countries in scope, and set the increase as a percentage or as specific new price points.
- Model discount behavior. In B2B, a list-price rise often gets absorbed by deeper discounts and rebates. Simulate the increase alongside your current discount patterns to see the real net-price effect.
- Compare outcomes. Test a few increase levels and check revenue, volume and margin implications side by side, using the waterfall view from list price through discounts and rebates to net price and profitability.
- Check the edges. For international pricing, model currency differences and market-level willingness-to-pay so you don't create gaps that invite grey-market selling.
- Approve and execute. Route the chosen scenario through the request and approval workflow, then apply it to the price records in the system.
What to watch for
- Discount creep: the biggest risk is that sales offsets the increase with larger discounts; simulate the discount response, not just the headline price.
- Customer segments: a uniform increase rarely suits all accounts; test key accounts separately.
- Data quality: simulations are only as good as the historical price, discount and rebate data behind them.
Choosing between approaches
| Approach | Best for | Trade-off |
|---|---|---|
| Spreadsheet modeling | A handful of products, one-off decisions | Fast to start, but hard to keep consistent across many prices and currencies |
| Dedicated pricing software (as Stratinis describes) | Large price volumes, many countries, discount and rebate complexity | Requires clean data and setup effort, repaid by repeatable, auditable scenarios |
If your price list is small and domestic, a structured spreadsheet test may be enough. If you manage thousands of prices across markets with layered discounts, start by requesting a demo through Stratinis and bring one real product line and its discount history so the simulation reflects your actual net revenue.
How does Stratinis help manage prices, discounts, and rebates across multiple countries and currencies?
Stratinis is built for exactly this problem: keeping large volumes of prices, discounts and rebates consistent across countries, currencies and customer segments. Its cloud pricing suite combines price management, optimization and revenue management in one system, so international prices are handled in a shared structure rather than separate spreadsheets per market. The site describes capacity for millions of prices and over 50 million pricing rules, which is aimed at companies with many products, customers or frequent price changes.
What it does for multi-country pricing
- Central price management: Update and maintain thousands or millions of prices in one place, including prices that change often.
- International pricing: Manage prices, discounts and rebates across countries, and optimize pricing for international key accounts. The site specifically mentions reducing pricing risks and grey markets, which matter when price differences between markets invite cross-border reselling.
- Currency and market differences: The page frames the challenge as differing currencies, competitiveness and willingness-to-pay by market; the software is positioned to manage those differences within one system rather than treating each country separately.
- Net revenue control: In B2B, list prices are only the start. Stratinis covers the full waterfall from price through discounts and rebates to net price and profitability, with analytics across historical, current and future prices.
- Simulation before rollout: Price increases can be simulated before implementation, and discounting can be controlled so an increase isn't given away again through deeper discounts.
- Quotes and deals: Sales teams can simulate and optimize individual deals while staying within corporate pricing policies, which helps keep local discounting aligned with global rules.
- Workflows and approvals: Price changes go through iterative simulation and approval, giving headquarters a way to review local proposals before they take effect.
A practical example
A manufacturer sells through distributors in five countries. Local teams propose different discounts, and rebates are agreed per key account. With Stratinis, headquarters could hold one price and rule structure, let local teams simulate deal-level discounts within policy, and review the net-price effect of a proposed increase before it goes live. The waterfall analytics then show whether a higher list price actually raised net revenue after rebates.
How to decide if it fits
It is most relevant if you have a large number of prices, sell internationally, and discounting or rebates materially affect net revenue. If your pricing is simple and domestic, the overhead of a rules-based system may exceed the benefit. Before committing, ask for a demo using your own country and currency structure, and check how exchange-rate changes and local price approvals are handled in practice. For broader pricing method guidance, Stratinis also publishes pricing advice alongside the software.
How can sales teams use Stratinis to optimize quotes and deals while respecting pricing policies?
Sales teams use Stratinis at the quote stage: reps simulate a specific deal in the system, see the effect on net price and margin, and get the best permissible price before the offer goes out. The software is built to enforce corporate pricing policy in that process rather than leaving it to individual judgment, so a rep can test discount levels and deal structures while the system keeps the quote inside approved limits. Because the suite also covers price waterfalls (list price through discounts and rebates to net price), a rep can see whether a proposed deal is actually profitable after rebates, not just whether the headline discount looks acceptable.
What this looks like in practice
- Deal simulation: a rep enters customer, volume and requested terms, and compares outcomes before committing.
- Policy guardrails: quotes respect corporate pricing rules, so exceptions surface for approval instead of being granted silently.
- Approval workflows: price changes and requests go through iterative simulation and sign-off, which creates a record of who approved what.
- Cross-country consistency: for international key accounts, the same logic helps avoid price gaps between markets that invite grey-market resale.
Where the trade-offs sit
Tight policy enforcement speeds up routine quotes but can slow unusual deals that need exceptions; the approval workflow is the escape valve, and its speed depends on how you configure it. Simulation quality also depends on having reliable historical price, discount and rebate data loaded — the analytics are only as good as that input. And the tool supports judgment; it does not replace a rep's read of a competitive situation, so teams still need clear rules on when to escalate.
A useful next step
Pick your ten most discount-heavy deals from last quarter and ask whether each would have passed your current policy unchanged. If several would not, that gap is exactly what a simulation-and-approval workflow is meant to close — use it as the scenario to test in a demo of Stratinis.
What does the price waterfall analysis in Stratinis show about net prices and profitability?
Stratinis describes its price waterfall analysis as a way to see the full path from list prices down through discounts and rebates to net prices and, ultimately, profitability. The site says the software gives "full insights into prices, discounts and rebates, all the way over net prices to profitability," and that it can analyze historical, current and future prices. In practice, that means a waterfall view shows where revenue leaks between the price you set and the margin you keep.
What the waterfall is meant to reveal
- Each step from gross to net: list price, then the effect of discounts and rebates, arriving at the net price actually realized.
- Where margin erodes: which discount or rebate categories consume the most of the gap between list and net price.
- Profitability, not just revenue: the page frames net revenue control as the outcome, particularly for B2B where net prices include a variety of discounts and rebates.
- Forward-looking scenarios: because it covers future prices, the same structure can support simulating changes before they are implemented.
How different teams would use it
A B2B pricing manager with many customer-specific rebate agreements would use the waterfall to see whether a large customer is profitable after all discounts, rather than judging by list price. A sales operations team could use it to check whether deal-level discounting stays within policy. An international pricing lead could compare net-price outcomes across countries and flag markets where discounting is quietly eroding margin.
Decision criterion
Choose this kind of analysis if your main problem is leakage between list and net price — complex discounts, rebates and country differences. If your challenge is simply updating many prices, the price-management features matter more than the waterfall itself. For background on pricing practice, see Stratinis Price Optimization Software and Revenue Management Solutions.
How does Stratinis compare to using spreadsheets for managing large numbers of prices?
For very large price lists, Stratinis is built to replace spreadsheet-based price management rather than replicate it. The site describes a cloud service for managing prices, discounts and rebates at scale, with optimization, simulation and workflow features that spreadsheets handle only through custom effort.
Where the difference matters
- Volume and repetition. Stratinis says it is built for "even millions of prices" and cites over 250 million prices and discounts in one system. Spreadsheets can hold large tables, but become slow, error-prone and hard to keep consistent across many products, customers and countries.
- Optimization. The software supports testing whether a price could rise without losing overall revenue. In a spreadsheet this is manual modelling you build and maintain yourself.
- Net revenue in B2B. Stratinis covers discounts and rebates down to net prices and profitability in a full waterfall view. Spreadsheets can do this, but each new discount type usually means new formulas and reconciliation work.
- Price increases and deals. You can simulate increases before rollout and let sales staff test quotes within corporate pricing rules. Spreadsheets offer no built-in policy enforcement, so approvals depend on discipline.
- International pricing. Managing different currencies, competitiveness and willingness-to-pay across markets—and avoiding grey-market risk—is a stated focus. Spreadsheets require separate linked files per market.
- Workflows. Iterative simulation and approval of price changes are part of the product; in spreadsheets this is typically email and version control.
Where spreadsheets still make sense
Spreadsheets are cheap, familiar and flexible, and are reasonable for a small, stable price list or a one-off analysis. The trade-off is governance: as the number of prices, markets and approvers grows, the cost of errors and stale versions rises faster than the licence cost of dedicated software. Stratinis also offers a separate pricing advice service, which may suit teams not ready for software.
A practical test
Count your active prices, discount types and countries, then estimate how often they change and how many people edit them. If updates are frequent, prices span multiple markets, or net-price calculations are already fragile, a dedicated system is likely the better fit; start with a demo on Stratinis and compare it against your current workbook on one real product line.
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