eyko by business process
Protect revenue on the way to cash. eyko reads the signals across pricing, billing, credit, and collections, and tells you where revenue is leaking, who will pay late, and what to do before it hits the quarter.
Five signal areas eyko watches across your order-to-cash position. Select one to explore.
Know what
Where revenue is leaking, who is slipping, and how the quarter is tracking.
Know why
The drivers behind the leak and the slippage, ranked, with the accounts attached.
Know what next
The specific actions, by account and product, with the revenue and cash impact of each.
An order-to-cash position is scattered across the CRM and order book, pricing and contracts, billing, and the AR aging, so by the time it is reconciled the leak has happened and the slow payer has already slipped. eyko reads those systems on a beat and returns a ranked Why and What Next your revenue team can act on.
Revenue leakage found and recovered, not written off at year end.
Earlier warning on the customers about to slip, with the exposure attached.
Collections effort aimed at the accounts that actually move DSO.
A revenue forecast you can defend, with the drivers behind the gap.
Where price is leaving revenue on the table.
Price for the revenue you are leaving on the table. eyko reads price, volume, discounting, and competitive position together.
Where revenue leaks before it becomes cash.
Find the revenue that never makes it to cash. eyko reads billing, contracts, discounts, and margins to surface leakage before year end.
Which customers are becoming a credit risk.
Know which customers have quietly become a risk. eyko re-scores credit continuously from payment behavior and external signals.
Which overdue accounts move the position.
Aim collections at the cash that moves the position. eyko ranks overdue accounts by expected recovery, not just balance.
How the revenue plan is tracking, and the gap.
Forecast revenue you can defend, with the drivers behind the gap. eyko reads pipeline, backlog, and recognition together.
Find the revenue-maximizing price per product within the elastic band, and the lines already past the peak.
Model how a discount flows through to volume and margin before you approve it, not after.
See where your prices sit against the market and where the gap is costing revenue or margin.
Find the bundles that lift attach rate and revenue without discounting the whole basket.
Quantify how volume responds to price by product and segment, so the move is sized to the response.
Read how sensitive each segment is to price, so increases land where they hold and discounts stop where they do not.
Find the revenue that never makes it to cash, across underbilling, unapplied escalations, missed minimums, and out-of-policy discounts.
Trace where value leaks between the quote and the cash, from misconfigured deals to billing that never matches the order.
Read billing against contract terms and flag where billing has fallen below the agreement, before it compounds.
Track gross margin by product, customer, and region and decompose the change into discounting, cost lag, and mix.
Surface the discounts and overrides that fall outside policy and quantify the margin they give away.
Re-score every account continuously from payment behavior and external signals, so credit risk reflects today, not onboarding.
Predict which receivables are most likely to go bad, with the exposure and the drivers attached.
Flag the accounts matching the pre-default profile before the first missed payment.
Read payment behavior and external signals together for early warning of customer distress, with the exposure attached.
Rebalance credit limits so low-risk growth accounts get room and deteriorated accounts get pulled back.
Rank outstanding receivables by expected cash impact and payment probability, so effort lands where it pays.
Find the levers that pull Days Sales Outstanding down and bring collections forward.
Predict incoming receipts by week from real payment behavior, with the accounts behind the number.
An automated, ranked early-warning list of the overdue accounts that need attention now, and why.
Forecast recognized revenue against plan and surface the backlog conversion driving the gap.
Predict how much backlog will convert to revenue, and when, with the segments behind the number.
Read stage-by-stage conversion to show pipeline quality and where the forecast is at risk.
Measure forecast against actual over time, find the systematic bias, and tighten the next forecast.
Decompose the change in revenue into volume, price, mix, and churn, so you act on the right lever.
Start with the question you need answered, across pricing, leakage, credit risk, collections, and revenue forecasting.
No setup. eyko pulls order, pricing, billing, AR, and credit data straight from your CRM and ERP.
A ranked read of where revenue is leaking and who is slipping, the drivers behind it, and the actions to take, ready to share with the CFO.
No setup. eyko reads cash, receivables, payables, debt, and FX data straight from your ERP and bank feeds, alongside the data platform and BI tools you already use.
FAQ
It is the layer above your CRM, billing, and AR reporting that explains where revenue is leaking, who is about to pay late, and how the quarter is tracking. BI shows you last quarter's revenue. eyko reads the signals across pricing, billing, credit, and collections, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard.
CRM and billing reports show you the numbers: pipeline, invoices, aging. They do not tell you which contracts are underbilled, which customers are about to default, or which overdue accounts are worth chasing first. eyko sits alongside those systems and answers the decision behind the number, with the drivers and the accounts attached.
eyko reads from your CRM and order book, your pricing and contract terms, billing and invoicing, and the AR aging and credit data in your ERP, alongside the cloud data platform or BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including Salesforce, SAP, Oracle E-Business Suite, NetSuite, JD Edwards, Microsoft Dynamics, and Snowflake.
eyko reads billing against contract terms, pricing policy, and order data, and flags where revenue never makes it to cash: underbilling on usage contracts, contracted escalations that were never applied, unmet minimums, and discount overrides outside policy. It attributes each leak to a source and ranks the recovery by how fast the cash comes back.
Yes. eyko re-scores credit continuously from payment behavior and external signals, flags the accounts matching the pre-default profile before the first missed payment, and attaches the exposure to each. That turns a backward-looking aging report into an early-warning read on who is about to slip.
No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where revenue is leaking or which customers are about to slip.
Order-to-cash touches the rest of the business. These processes share the same signals.
See what eyko returns when it reads your order-to-cash signals on a beat.