Renewal automation engine
Eliminate 3–6% ARR renewal leakage, automate legacy SKU mapping, and reclaim hundreds of hours of rep capacity — without adding RevOps headcount.
The problem
Two failure modes quietly drain the renewal base every quarter. Both are catalog problems before they are sales problems — and both are automatable.
The pain
The ResSKU solution
The pain
The ResSKU solution
How it works
ResSKU sits between your contract history and your quoting motion. It works alongside major CRM and CPQ systems rather than replacing them.
Read-only sync of your account, contract, and product catalog records. Historical line items and current active SKUs land in one place.
The translation engine maps deprecated and fragmented SKUs to current active quote items, flagging only the genuinely ambiguous lines for review.
Contractual uplift language is applied consistently, and expansion add-ons are co-termed to the parent agreement before the quote is generated.
Renewal tasks, owners, and dates are written back as automated CRM activities so nothing waits on a spreadsheet reminder.
For your team
RevOps owns the catalog. Finance owns the leakage. Sales owns the clock. ResSKU reports to all three.
The financial impact
For a $30M ARR technology company with a $10M annual renewal base, ResSKU recovers $300,000+ of leaked ARR within 6 months. Typical ROI realized: 6x to 10x in Year 1.
| Renewal lever | Manual status quo | With ResSKU |
|---|---|---|
| Leaked ARR dollars | −$10M base exposed | +$300,000 recovered |
| Automated uplift capture | $10M base, uplifts unenforced | +$30,000 |
| Deprecated catalog mapping | $10M base, drift unresolved | +$30,000 |
| Quote turnaround | Hours draining per renewal | Sub-1-minute quote |
| Year 1 ROI | Baseline | 6x–10x |
Figures follow the ResSKU $30M ARR reference model, including other gains at roughly 5% saved. Illustrative, not a guarantee.
Model your own numbers
Move the inputs to your own renewal base. Every output below is computed from what you enter, using the stated assumptions — nothing is pulled from a customer list.
Estimated annual ARR leaked
$396,000
4.0% of a $9,900,000 renewal base
Recoverable ARR with ResSKU
$297,000
75% of modelled leakage recovered
Rep hours reclaimed per year
1,546
8 reps × 6 hrs × 46 weeks × 70% automated
Estimated Year 1 ROI
6x–10x
ResSKU reference range for Year 1
Illustrative model — assumptions shown above; actual results vary.
Copies these inputs and outputs into the demo request notes.
One page, whole story
Core value proposition, financial impact and ROI, and the two core operational drivers — SKU drift and the renewal leakage gap — in a single view.
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FAQ
Straight answers on scope, security, and measurement. If something here is unresolved for your environment, ask us in the demo.
Most teams are mapping live renewals within a few weeks. The pace depends far more on how clean your historical contract and catalog data is than on the software itself: connecting systems and importing catalog data is quick, while agreeing on canonical mappings for genuinely ambiguous legacy SKUs takes a few working sessions with whoever owns the catalog.
ResSKU is designed to work alongside major CRM and CPQ systems, reading contract, account, and catalog objects and writing renewal tasks back. Rather than publishing a list of certified logos, we scope your specific stack and data model during the demo and confirm what a connection would look like in your environment.
No. Your CPQ stays the system of record for pricing and quoting. ResSKU handles the layer in front of it — translating legacy SKUs into current active quote items, applying CPI uplift and co-term logic, and handing a clean, complete line set to the quoting system your team already uses.
Connections are scoped to the objects needed for renewal mapping, default to read-only apart from the renewal tasks ResSKU writes back, and are encrypted in transit and at rest. Access is role-based with an audit trail of every mapping decision. We are happy to walk your security team through our current controls, subprocessors, and retention settings before any data moves.
We compare what each renewal should have carried — mapped legacy line items, contractual CPI uplift, co-termed add-ons — against what was actually quoted and booked. The difference is the leakage estimate, reported per renewal so you can audit it. The 3–6% range and the $300,000+ recovery figure come from a $30M ARR reference model; your own baseline is measured on your data, not assumed.
Request a demo
Bring a sample of legacy contract line items. We will show the translation engine, uplift enforcement, and the renewal tasks that land in your CRM.
Your request is logged for the ResSKU team. We will send a short pre-read on the leakage baseline before the call so the 30 minutes go to your data, not our slides.
