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Oracle NetSuite Partner · Cash Flow Forecasting · UK-wide

Cash flow forecasting software built on your NetSuite data

Cash flow forecasting software estimates the cash a business may hold over the weeks and months ahead. NetSuite already contains sales, purchases, invoices and payment dates. A forecast built from that source can be refreshed more often than a spreadsheet that depends on manual exports. The result still relies on accurate data and sensible assumptions.

  • Since 2003 working with NetSuite
  • Accountancy-led CA & CGMA directors
  • Built on live data not manual exports
Cash flow forecast built from live NetSuite data

Who builds the forecast?

Cofficient is an Oracle-authorised NetSuite partner. Our directors include qualified accountants, so the forecast is designed around the decisions a finance team needs to make.

Why manual forecasts drift

A spreadsheet forecast often starts with an export from several systems. The finance team updates formulas, adds assumptions and circulates a copy. Transactions continue after the file is produced, so the forecast begins to age immediately.

Common problems include:

  • Updates depend on one person and a set of formulas that other users may not understand.
  • Late payments and changed order dates are not reflected until someone edits the file.
  • Different versions circulate, which makes review and approval harder.
  • Scenario work takes time because each change must be modelled by hand.

The issue is the gap between the operational data and the forecast. Bringing the forecast closer to the source reduces that gap.

The data NetSuite already holds

A cash forecast can draw on information already recorded in NetSuite, including:

Sales orders

Sales orders, expected fulfilment dates and invoice schedules.

Customer invoices

Customer invoices, due dates and recorded payment history.

Supplier bills

Supplier bills, payment terms and planned payment runs.

Recurring costs

Recurring costs and other commitments held in the system.

The relevant records and fields vary by account. Discovery work should confirm which data is complete enough to use and where additional inputs are needed.

Forecast scenarios compared against recorded payment behaviour

How AI can support a forecast

AI may help with pattern review and scenario analysis. For example, a model can compare due dates with recorded payment behaviour or show how a delayed order changes the expected cash position. The selected tool must be tested against known outcomes before the finance team relies on it.

Useful applications may include:

  • Adjusting expected receipt dates where a clear payment pattern exists.
  • Refreshing the forecast after transactions or order dates change.
  • Running defined scenarios without rebuilding a spreadsheet model.
  • Flagging data gaps or unusual movements for a person to review.

The finance team remains responsible for assumptions, review and approval. The model supports the process; it does not remove uncertainty.

Read more about how we approach NetSuite AI projects →

What the forecast can tell you

What it can do

A well-designed forecast can show the expected cash position by week, identify a potential shortfall and compare the effect of agreed scenarios. It can also make the assumptions more visible, which helps the finance team explain the result to other decision-makers.

What it cannot do

It cannot predict an event that is missing from the data. It also cannot correct poor coding, incomplete orders or unrealistic assumptions. These issues need to be addressed in the source process.

How Cofficient builds the forecast

The work begins with the current forecast and the decisions it supports. Cofficient then reviews the NetSuite records, the update process and the controls used by the finance team.

  1. 1

    Agree the forecast horizon, reporting frequency and owners.

  2. 2

    Map the NetSuite data used in each part of the forecast.

  3. 3

    Record the assumptions and identify missing or unreliable fields.

  4. 4

    Build and test the forecast against previous periods and known scenarios.

  5. 5

    Train users, document the review process and monitor the result after launch.

A rolling thirteen-week cash view is common, but the final horizon should match the business cycle and the decisions being made.

Who you are working with

Cofficient is employee-owned. The team includes NetSuite specialists and directors with CA and CGMA qualifications.

Oracle NetSuite Partner Authorised UK NetSuite partner
Since 2003 20+ years of NetSuite delivery
Employee-owned Led by chartered, CA & CGMA-qualified directors
UK-wide Glasgow HQ, clients across the UK & internationally
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Our Google reviews

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Rebecca Thomson
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Cofficient spend a considerable amount of time getting to know your business and its processes to ensure they meet your exact requirements. They are a very honest and hardworking team who will also challenge you from time to time if necessary, which was fundamental to the success of the implementation. Rolling out a new CRM/ERP solution in your business is not an easy task however is a lot more manageable with the guidance and support from Cofficient.
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Hugh Hill
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Fabulous team to work. Worked hard to really understand what our organisation was about and how Netsuite could change the way we do things and really change experiences for the people we support. If your looking for a CRM and great partner then the Netsuite Cofficient combination is what you want.
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Aspen Solutions
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Cofficient managed and implemented our NetSuite integration and I could not recommend their professional and methodical approach highly enough.
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Ian Storm profile picture
Ian Storm
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We needed a smart customer relationship management software to help us sell smarter to our potential customers. NetSuite was the perfect solution. It is cloud hosted so the information is real time and easy to access across all of our offices. Cofficient were the obvious choice for implementation since they have more NetSuite experience than anyone else on the market.
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Debbie Ekins profile picture
Debbie Ekins
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We've recently implemented NetSuite with the help of Cofficient for our business based in EK, Glasgow. I can't say enough nice things about them (seriously, try me). From the initial stages of enquiry they were informative, not pushy. Which is exactly what we needed as we weren't quite sure what software, we needed, if any, and there were management reservations. They showed us exactly what NetSuite could do for our business and managed to get buy-in throughout the whole company, which has been really important for a successful implementation. Throughout the implementation process nothing has been too much for them, any problem we've thrown at them they've solved quickly and they've designed a software that fits our companies needs exactly. We've gone from nothing, to a full ERP system, which has been a lot of work, and Cofficient have done all the legwork - we've just had to jump right into learning the (fairly easy to work) system. I can't imagine how stressful it would have been if we had gone with a standard CRM/ERP that meant we had to migrate all the data into. Their help has been invaluable and to top it off the whole team is a bunch of lovely and professional people that have been a pleasure to work with. I'm cautious of recommending companies in case it comes back to bite me, but i'd have absolutely no reservations in recommending Cofficient to any business. If they can help you they will go all in, and if they can't they will tell you straight. A credit to business and the software the resell!

Questions about cash flow forecasting in NetSuite

Can NetSuite produce a cash flow forecast?

NetSuite contains reporting and planning capabilities, and it holds much of the transaction data used in a forecast. The final setup depends on the modules, records and reporting tools in the account. Cofficient can assess the current setup and identify any gaps.

Do we need separate cash flow forecasting software?

Not in every case. If the required data already sits in NetSuite, it may be possible to build the forecast around that source. A connected product should only be introduced where it adds a clear function that the current setup cannot provide.

How far ahead should we forecast?

The horizon should match the decisions being made. Many finance teams use a detailed thirteen-week cash forecast and a longer planning view. The level of confidence usually falls as the horizon extends.

How is financial data handled?

The data flow, permissions, hosting and retention rules depend on the tools used. These requirements should be documented before any forecast is built. Access should follow the organisation's existing finance and security policies.

Will an AI forecast be more accurate?

It may update more often and use recent transaction data, which can reduce the delay found in a manual process. Accuracy depends on the source data, assumptions and model design. Performance should be measured against previous forecasts before wider use.

Review your cash flow forecasting setup

Cofficient will review how the forecast is produced, which NetSuite data is used and where the process loses time or accuracy. You will receive a clear view of what can be improved within the current system and whether an additional tool is justified.