Afresh Technologies

Afresh Technologies

AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores.

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DateInvestorsAmountRound
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Valuation: €0.0

round
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$115m

Series B
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2019202020212023
Revenues0000000000000000
% growth-207 %77 %-
EBITDA0000000000000000
Profit0000000000000000
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Dealroom estimates

More about Afresh Technologies
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Afresh Technologies is a startup that provides technology solutions specifically designed for the fresh food grocery sector. The company's technology is designed to simplify the complexities of managing fresh food inventory, a task that has become increasingly important as consumer demand for fresh food has risen significantly since 2020. Afresh's technology is used by grocery teams to improve their performance in managing fresh food categories.

The company's technology uses advanced machine learning algorithms to provide actionable insights and optimize decision-making across the fresh food supply chain. This includes improving the accuracy of orders, which in turn improves product shelf life, and providing tools to manage the variability and unpredictability of fresh food data. The technology also helps to reduce food waste, greenhouse gas emissions, and water usage, making it an environmentally friendly solution.

Afresh's clients are primarily grocery stores and other businesses in the fresh food sector. The company operates in the technology and grocery markets, and its business model is likely based on a software-as-a-service (SaaS) model, where clients pay a subscription fee to use the technology.

The company makes money by charging its clients for access to its technology. The exact pricing structure is not publicly available, but it is likely based on the size of the client and the level of service they require.

Keywords: Fresh Food, Grocery, Technology, Machine Learning, Inventory Management, Order Accuracy, Environmental Sustainability, Food Waste Reduction, SaaS, Supply Chain Optimization.

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