ParcelLab

ParcelLab

Bringing people and brands closer together by closing the experience gap post-sales and beyond.

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Financials

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Revenues, earnings & profits over time
EUR20182019202020212022
Revenues00000000000000000000
% growth-163 %--27 %
EBITDA00000000000000000000
Profit00000000000000000000
% profit margin(56 %)(9 %)-(72 %)(102 %)
EV00000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x
R&D budget00000000000000000000

Source: Company filings or news article

More about ParcelLab
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ParcelLab is a global enterprise software provider that specializes in enhancing the post-purchase experience for customers. The company operates in the e-commerce market, serving brands that aim to improve customer satisfaction and increase revenue. ParcelLab's business model is centered around the use of machine learning and low latency API to provide accurate delivery dates, thereby improving conversion rates and reducing cart abandonment.

The company offers a range of services designed to boost customer engagement and drive sales. These include personalized communications that fill information gaps and a digital returns portal that makes returns more sustainable and enhances the customer experience. The company also provides secure, enterprise-grade infrastructure, which includes three modules: Insights, Connect, and Security.

ParcelLab's revenue is likely generated through a subscription-based model, where clients pay for the services and features they use. The company's flexibility and speed in implementing changes have been praised by clients, suggesting a strong focus on customer service.

One of ParcelLab's notable clients is FARFETCH, a luxury fashion platform. ParcelLab has helped FARFETCH control the customer journey, resulting in 72% positive feedback. This shows the company's ability to handle complex fulfillment chains and communicate this complexity to customers.

In summary, ParcelLab is a post-purchase software provider that uses technology to improve customer satisfaction and increase revenue for brands in the e-commerce market.

Keywords: Post-Purchase Experience, Global Enterprise Software, Customer Satisfaction, E-commerce, Machine Learning, Personalized Communications, Digital Returns Portal, Enterprise-Grade Infrastructure, Subscription-Based Model, Customer Service.

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