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NederlandsCreating a payment plan in Collection Management
HOW TO CREATE A PAYMENT PLAN
In collection management, you may need to create a payment plan in order to manage your collections and increase your cash flow.
Please join us in this webinar where we will show you how you can create a payment plan in our Collection Management solution.
Esker Q3 2023 Sales Activity
Sydney, Australia. — October 17, 2023
Continued growth in cloud activities
Esker Q3 2023 sales revenue amounted to 43.8 million euros, a 13% increase over Q3 2022 based on constant exchange rates (+8% based on current exchange rates). For the first nine months of 2023, Esker sales were 131.6 million euros, up 15% based on constant exchange rates (+13% based on current rates).
Lactalis Iberia Group Transforms Customer Service Processes With Esker
Sydney, Australia. — October 3, 2023 — Esker, a global cloud platform and leader in AI-driven process automation solutions for Finance, Procurement and Customer Service functions, today announced that Lactalis Iberia Group, the Spanish subsidiary of the world’s leading dairy foods company, is automating and optimising its Customer Service processes with Esker.
Managing Collections with Esker
Making sure you're the first in line when customers decide who to pay
ESKER COLLECTIONS MANAGEMENT STRATEGY
Optimising your collection strategy begins with two key principles: firstly, ensuring your invoices are comprehensive and dispatched promptly; and secondly, providing your customers sufficient time to plan and secure the necessary funds for payment. While utilising e-invoices is undoubtedly a strong approach, let's take an even more advanced step forward in refining your collections strategy with Esker.
Esker Recognition & Extraction Technologies for Order Management
Esker uses multiple AI-driven recognition and extraction technologies to provide best-in-class automation results. Let’s explore these technologies in the upcoming Lunch & Learn webinar, “Esker Recognition & Extraction Technologies for Order Management”. During the session, we will discuss recognition technologies, data extraction, and will also delve into the best practices for both Auto-Learning and Teaching.
Join us to discover: