STAR Platform
Sizing, Pricing & Quotation Platform · Commercial and industrial heat transfer
The quote a customer used to wait two weeks for, sent the same afternoon — by the sales rep, without an engineer in the loop.
STAR takes the sizing calculations, catalog rules, configuration dependencies and pricing tables behind an engineered heat transfer product and puts them inside one guided workflow. Reps enter the project and configuration details; STAR sizes the equipment, prices it, and produces the documentation that moves the quote forward.
Engineered products don't quote themselves
Every enquiry for a configured heating or heat transfer product starts the same way: the rep gathers the project conditions, an engineer sizes the equipment, someone checks which options are actually compatible, and someone else works the price out of a spreadsheet. Days pass, and the customer waits.
Engineers as a queue
Sizing sits with a handful of people. Every quote joins their backlog, and the sales team's response time is capped by an engineering calendar.
Spreadsheets that drift
Pricing tables get copied, edited and emailed. Nobody is quite sure which version a quote was built on, or whether the discount applied was one the company still offers.
Configurations that don't fit
Option A rules out option B, and only the product specialist knows it. The mistake surfaces after the quote is sent — or worse, after the order is placed.
A pipeline nobody can see
Quotes live in inboxes and local files. Leadership has no reliable count of what was quoted, at what value, by whom, or across which company in the group.
From project details to a submitted quote
The rep answers questions about the job. STAR does the rest, carrying the engineering and commercial logic step by step so the quote can only come out valid.
Start with the project
Customer, site and project details open the quote, so every later step and every document is tied to a real job rather than a loose calculation.
Enter the operating conditions
The parameters an engineer would ask for are asked once, in plain form fields, with the units and ranges the product actually accepts.
STAR sizes the equipment
Product-specific sizing logic — the work normally done by an engineer — runs inside the application and returns what fits the duty described.
Configure within the rules
Options come from the live catalog, and the dependencies between them are enforced as they are chosen — incompatible combinations never reach the customer.
Price it from one source
Pricing is calculated from the tables the administrators maintain, so two reps quoting the same configuration on the same day reach the same number.
Submit and follow it through
STAR produces the documentation the quote needs and keeps it on record, where the rep can find it, revise it and manage it alongside every other quote they own.
Three audiences, one platform
Pick a chapter to see the screen behind it. Click any screenshot to open it full size.
Reps size, configure, price and manage quotes across the full product range without leaving the app. STAR carries the calculations, catalog rules, pricing tables and configuration dependencies behind the scenes, then produces the documents that move the quote forward.
What's inside the platform
Built-in sizing engine
Product-specific sizing logic runs inside the application, so the engineering work behind a quote happens as the rep fills the form rather than days later.
Guided quotation workflow
A step-by-step path from project basics to a submitted quote, covering the full product range without the rep needing to know which rules apply where.
Product catalog & configuration rules
Administrators maintain the catalog, the configuration options and the dependencies between them — the quoting engine follows whatever they publish.
Pricing tables under control
Prices live in the platform, not in circulating spreadsheets. One update reaches every rep, and every quote is calculated from the same source.
Quote documentation
The platform produces the documentation that moves a quote forward, presented consistently whichever rep or company in the group it came from.
RGA — returned goods
Dedicated screens for returned goods authorizations sit beside quoting, keeping after-sale handling in the same operational system.
Roles & permissions
Administrators create reps and supervisors, assign role-based permissions and control exactly what each user can see and do.
Multi-tenant by design
Each company runs in its own tenant with its own catalog, pricing and users, while the holding company oversees tenant activity, subscriptions and performance centrally.
Dashboards & business intelligence
Quote counts, sales value and rep activity are reported across companies, turning day-to-day quoting into a measurable view of the business.
One platform, four jobs to do
Sales representatives — size, configure, price and manage their own quotes across the full product range, and answer a customer while the conversation is still live.
Sales supervisors — see what their team is quoting and at what value, with permissions that match how the sales organization is actually structured.
Tenant administrators — own the users, the roles and the data the quoting engine runs on: product catalogs, configuration options, pricing tables and returned goods authorizations.
Group leadership — oversee tenant activity, subscriptions and performance from a central environment, and compare how each company in the group is selling.
What changes once STAR is in place
Response time stops depending on engineering availability — the rep quotes when the customer asks
Engineering time goes back to engineering, instead of repeating routine sizing for every enquiry
Fewer errors reach the customer, because the rules that make a configuration valid are enforced as it is built
Pricing is consistent across reps, regions and companies, from one maintained set of tables
New reps become productive without first learning the product catalog by heart
Leadership sees the pipeline as data — quote counts, sales value and rep activity across every company in the group
The people who commissioned it
Elyntis understood our needs from the very beginning and made the whole process for a custom coded application easy and efficient. They gave us innovative solutions to the challenges that arose along the way. Elyntis developed a great user experience for our customers, stayed in budget and were great to work with.
We couldn't be more thrilled with the development and implementation of our new updated sizing and pricing program. From day one, the team demonstrated a deep understanding of our market dynamics and our overarching business goals.
What stood out the most was the highly collaborative process. They took the time to analyze the complex data and understand the needs and were able to provide an incredibly user-friendly program not only to us, but most importantly to our customers.
Thanks to their expertise and hands-on guidance, we now have a streamlined, scalable framework that positions our offerings perfectly in the market. Highly recommended!
Your product line has its own rules. So would your platform.
STAR is custom-built software, not a template. The sizing logic, catalog structure and pricing model came out of the client's own engineering practice — which is exactly why it fits. If quoting your products means calculations, dependencies and price tables that only a few people fully hold, the same approach applies to your business.
We start with your logic
The calculations your engineers run today become the engine the application runs on, analyzed and validated together with your team.
Enterprise foundations
Multi-tenancy, role-based permissions and administration are built in from the start, so the platform grows with the group instead of being retrofitted.
Owned by your admins
Catalogs, options and prices are maintained by your own people through the application — no development ticket to change a price.
See the other platform we built and delivered, or read how we work as an engineering partner.
See what this would look like for your products
Tell us how your team quotes today, and we'll walk you through STAR and what the same approach would mean for your product line.
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