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Customers/inkcupsIndustryManufacturing

How Inkcups Quotes 3 Machine Lines in Under 8 Minutes

Inkcups manufactures digital, pad and tagless printing machines from Danvers, Massachusetts, and sells them through offices in Germany, the United Kingdom, Mexico, Hong Kong and Vietnam. Its reps once quoted those machines from Word templates saved on their own laptops, so a price change meant editing 25 to 30 documents by hand and trusting that nobody sent an old one. DealHub AI replaced those templates with one guided selling playbook carrying every machine, consumable, service and warranty. Marketing now deploys a price change to every direct sales region in a day, and a rep who has never learned the machines still sends a complete quote in under eight minutes.

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G2/Gartner RankingsG2/Gartner Rankings
QUOTE CREATION<8 minutes

Down from about an hour, across 25 to 30 machine configurations

PRICING DEPLOYMENT50% faster

One change replaces edits to 30 separate quote documents

QUOTE ACCURACY~98% accurate

Guided selling catches the components reps used to miss

SummaryChallengeBefore / AfterCustomer VoiceOperational ImpactFAQ
Fast Scan

Marketing Now Owns Global Pricing

Challenge

Stale Word Files Reached Customers

Inkcups sells 25 to 30 machine configurations across digital, pad and tagless printing, and every one of them had its own Word quote template. Reps saved those templates to their own laptops, so marketing had no way to see which version a rep was working from. When a price changed, someone edited the documents one at a time and emailed the sales team to say they were updated. Quotes still went out on superseded pricing, and reps still left out the installation, training or mist extraction system a machine needed, which meant reopening a deal after the buyer had already seen a number.

The questions Inkcups' leadership was asking:

1

Our reps are quoting three machine lines from Word files on their own laptops. How do we know which price list any given quote came from?

2

A price change takes us a week to push out and the executive team wanted it live two weeks ago. Why is marketing still editing 30 documents by hand?

3

A rep in Germany needs a discount approved and everyone who can approve it is asleep. How much of our cycle time is just time zones?

4

Every quote in the field lives in a different rep's spreadsheet. How does our VP of sales report on the pipeline without rebuilding it each week?

Transformation

Before and after DealHub AI

Before and after DealHub AI
BeforeAfter

A price change meant editing 25 to 30 Word documents one at a time, then telling the team.

Marketing updates one price book, and every guided selling workflow serves the new price the next day.

Discount approvals ran over email and phone calls, and a European rep waited for a US morning.

Discount thresholds route themselves to product management or the executive team, and clear in under 24 hours.

Each rep kept their quotes in a personal Excel file, and the VP of sales assembled the total by hand.

Marketing pulls quote volume, average discount by region and expected close dates straight from Salesforce.

A new rep had to learn three machine lines before anyone trusted them to build a quote.

Guided selling asks the questions, so a new rep quotes consumables, service and warranties on day one.

Reps emailed a quote document, then chased separately with brochures, videos and contracts.

Buyers open one DealRoom holding pricing, product videos, brochures, terms and the sample report.

Solution

Inkcups Encoded What Reps Used to Memorize

DealHub CPQ guided selling

Marketing encodes each machine line as its own question path, priced once
A rep cannot submit a machine without its consumables, service and warranty
Inline notes explain a component, so a new hire does not guess

DealHub CPQ pricing and approval governance

One price book update reaches every guided selling workflow the next day
Europe quotes in euros on its own price list, terms and service contracts
Discount thresholds route to product management or the executive team automatically

DealHub DealRoom

Pricing, brochures, product videos, terms and the sample report ship as one link
Reps see who opened the DealRoom instead of chasing for confirmation
Regional footers and terms vary while branding stays identical
The Customer's Experience

Inkcups puts new hires on the sales floor without machine training

Inkcups puts new hires on the sales floor without machine training

“We can just set someone down, give them their account… Whereas before they really had to learn the machines, learn all the intricacies, now they can kind of be on the floor running right away with the DealHub quote.”

Riley Mann

Digital Marketing Strategist

Inkcups cut machine quote creation from about an hour to under eight minutes

“You can actually report on how long it takes each salesperson to create a quote. And in the past, it’s been probably an hour or so, and now we’ve reduced that number with DealHub down to less than eight minutes.”

Jessica Makrinos

Marketing Manager

Inkcups replaced rep spreadsheets with regional discount reporting inside Salesforce

“Each salesperson would have their own Excel spreadsheet with all of their quotes, but it was all, of course, in different places. Now with DealHub, we can run reports directly from Salesforce… We can look at average discount rates across all the regions.”

Jessica Makrinos

Marketing Manager

Inkcups evaluated other CPQ vendors and found no equivalent to the DealRoom

“We started exploring what other CPQs were out there, what was available, and nothing compared to DealHub with the DealRoom and the PDF… we couldn’t find that anywhere else. Especially the ability to show product videos, add brochures, add the Dropbox.”

Riley Mann

Digital Marketing Strategist

DealHub AI guided selling holds the product knowledge a rep used to carry in their own head. Previously a new hire had to learn three machine lines and their consumables before anyone trusted them to price a deal, so ramp was measured in months. Now they answer the questions the playbook asks and quote on their first day.

DealHub AI ties every quote back to the Salesforce opportunity it belongs to. Previously nobody at Inkcups could say how long a quote took to build, because the work happened inside a Word file on an individual rep's laptop and left no record. Now marketing reports creation time per salesperson, and it runs under eight minutes.

DealHub AI puts quote volume, discount rates and expected close dates into Salesforce reports the team already ran. Previously each rep kept a personal Excel file and sent numbers to the VP of sales, who assembled the picture by hand. Now leadership reads average discount by region and what is due to close next quarter.

DealHub DealRoom turns a machine quote into one page a buyer opens and works through. Previously reps emailed a quote document and then followed up separately with brochures, product videos and contracts, with no way to tell whether any of it was read. Now it ships as one link and reps see who opened it.

Risk Reduction
Operational impact and time to value

Ownership

Rollout owner

Marketing, working with the DealHub AI implementation team. The named implementation contacts were Natalie and Yuran.

Governance model

Business-owned. Marketing configures machine workflows, price books and approval tiers directly. The executive team sets pricing, and product management supplies the base guidelines for a new SKU.

Time to value

Time to first value
Adoption pattern

100% of the direct sales teams in the United States, Europe and Mexico. The Asia team sells through distributors and is out of scope.

Systems and Lift

Connected system categories

Salesforce (CRM, native quote-to-opportunity sync, DealHub quote data available to Salesforce reports). Excel export and import for bulk price updates. An ERP downstream of quote entry, which finance works in.

Internal lift

Low after go-live. Marketing runs configuration and price changes without a developer or an outside Salesforce consultant, and the team was equipped to do it by the time the system went live.

FAQ

Frequently asked questions

Inkcups sells across three printing machine lines, and each line asks a different set of questions before a quote is complete. Encoding those questions in a guided selling playbook moved the product knowledge out of the rep and into the workflow, so a new hire quotes machines, consumables, service and warranties on their first day and quote accuracy holds at about 98%.
Inkcups runs one price book that marketing updates centrally, with a separate euro price list for Europe and different terms, footers and service offerings by region. A price decision from the executive team is live for every direct sales region the next day, and the branding on every output document stays identical.
Quote data has to land in the CRM as structured data rather than in a document. With DealHub AI writing each quote back to its Salesforce opportunity, Inkcups reports quote volume, average discount rate by region and expected close dates from Salesforce alone, instead of collecting spreadsheets from individual reps.
Not at this size. Inkcups has no revenue operations team, and marketing owns configuration, pricing deployment and Salesforce administration for roughly 90 people across six countries. Whether that holds as a company scales is a judgment about staffing, not something this story settles.
Your Catalog Belongs in One System
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Inkcups put its machine quoting logic somewhere marketing could change it, and gave every direct sales region one price book to quote from. A pricing decision the executive team makes on a Monday is in front of customers on Tuesday.

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