Wholesale Trade & Retail


Discover how this popular retailer uses DebtorLogic to gain valuable insights into their customers’ performance and payment history before extending credit.
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About Jaycar

From more than 110 stores across Australia and New Zealand, Jaycar offers a wide range of quality electronics at affordable prices. The Australian-owned retailer employ almost 1,000 staff who are as passionate about electronics as their customers are.

Jaycar’s impressive product range includes a diverse range of categories, including IT and communication, sound and video, outdoors and automative, and science and learning. Visit a store near you or search their extensive catalogue online.

Officeworks Retail space
Their Problem

Jaycar approached CreditorWatch to transform their existing credit risk management processes, which weren’t as robust as they could be.

Ananda Maharjan, Jaycar’s Credit Controller, recalls:

“Before CreditorWatch, our due diligence process was solely dependent upon performing ABN lookups and obtaining limited business information from sales reps and Google.

We also had issues with our collection process. If our customer’s account details had changed or they were being unresponsive, we would have to escalate the issues to their superiors.”

These issues exhausted the team’s time and resources and prevented them from confidently assessing their customers’ risk.

“We would recommend CreditorWatch’s services to any business that wants to deal with their customers in complete confidence.” – Ananda, Credit Controller at Jaycar

Jaycar building
Our Solution

DebtorLogic, CreditorWatch’s trade program, gave Jaycar the confidence they needed to make accurate decisions about their customers and mitigate risk to the business.

DebtorLogic analyses a business’ Aged Trial Balance (ATB) each month and provides data-driven analysis of where the business should focus their collection efforts.

DebtorLogic provides Jaycar with business credit scores and payment predictor data to help assess their customers’ ability to pay on time.

Ananda says:

“If a business has a below-average risk score, we account for any potential risks by asking for more trade references or making other enquiries. Payment predictor data is used to make a decision on whether to offer an applicant credit.”

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