
Package.ai
Unified platform for last mile delivery and customer engagement powered by conversational AI and workflow automation.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | $14.0m | Series A | |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 29 % | 67 % | 33 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
Related Content
Package.ai operates in the retail technology sector, providing a unified platform designed to enhance last mile delivery and customer engagement. The company leverages conversational AI, workflow automation, and last mile intelligence to help brands manage customer interactions across various channels and touchpoints.
The primary clients served by Package.ai include retailers, particularly those specializing in home furnishings and appliances, who face unique challenges in delivering personalized, high-touch in-store experiences. By focusing on the post-purchase phase, Package.ai aims to transform the customer journey and improve customer loyalty and satisfaction, as measured by metrics like the Net Promoter Score (NPS).
Package.ai's business model revolves around a Software-as-a-Service (SaaS) offering, where clients subscribe to use the platform for a recurring fee. This model ensures a steady revenue stream while allowing clients to scale their usage based on their needs.
The company generates revenue through subscription fees, which can vary based on the size of the retailer and the specific features they require. Additional revenue may come from premium features or custom integrations tailored to the unique needs of larger clients.
Keywords: last mile delivery, customer engagement, conversational AI, workflow automation, retail technology, home furnishings, appliances, SaaS, NPS, post-purchase experience.