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EasyPark builds an AI agent to help it qualify B2B sales leads

EasyPark is using Parker, an AI agent built on Salesforce Agentforce, to identify potential business customers among existing parking-app users. iTnews reports the agent examines behavioural patterns and qualifies B2B leads so sales representatives can focus their effort. The report does not establish a measured revenue uplift.

Illustration for EasyPark builds an AI agent to help it qualify B2B sales leads

What EasyPark is doing

In a 9 October report, iTnews describes EasyPark’s first production use of Salesforce Agentforce: Parker, an agent that helps identify and qualify existing users for the company’s business parking products.

EasyPark’s ANZ country director says Parker looks at behavioural trends to distinguish potential B2B customers from users who prefer its consumer offering. The intended role is to assist sales representatives, not replace the whole sales process. The report does not provide independently verified conversion rates or savings.

The lesson for Australian businesses

This is a useful example of starting with one defined decision: which existing customers might benefit from a business product? A smaller operator could test similar triage before attempting autonomous prospecting or outreach.

First define what makes a genuinely suitable lead and check which customer data may be used for that purpose. Ask staff to review suggested leads against those criteria. Do not assume that collecting behavioural data for one service automatically makes every new use appropriate.

What to measure

Track the proportion of recommendations staff accept, missed opportunities, irrelevant referrals and time saved. Keep people in charge of customer contact, and compare the pilot with the existing qualification process.

The transferable idea is disciplined lead selection—not a requirement to buy the same platform or a promise of increased sales.

Read the original article at iTnews Australia
Source: iTnews Australia · Published 11 October 2026