Dealavo
Home Page - Dealavo | Price Monitoring | Dynamic Pricing | for brands & e-stores.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
* | N/A | Late VC | |
| Total Funding | 000k | ||
| EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | 194 % | 12 % | 41 % | 36 % | 76 % | 68 % | 24 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | (21 %) | (36 %) | (12 %) | 23 % | 29 % | 35 % | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (26 %) | (43 %) | (16 %) | 20 % | 26 % | 29 % | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
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Dealavo sp. z o.o. is a data-centric technology firm headquartered in Warsaw, Poland, that provides e-commerce analytics and price monitoring solutions for online stores and manufacturers. The company was established as a startup spun out from the CodiLime group, with Jakub Kot currently serving as the CEO. Kot, who began programming at age 12, transitioned from a developer role to leading the company, guiding its focus on delivering actionable market insights.
The firm's business model is centered on a subscription-based service for its suite of software tools, with pricing tailored to individual client needs based on factors like assortment volume and monitoring range. Dealavo serves a diverse clientele, from small enterprises to large global brands such as Samsung, DeLonghi, and Philips, across more than 30 markets. Its core market consists of e-commerce businesses and product manufacturers seeking to optimize their online retail performance and distribution strategies.
Dealavo’s product portfolio includes competitor price monitoring, dynamic pricing (Repricing AI), a ROAS booster for ad campaigns, and competitor assortment reporting. The platform operates by collecting web data, which is then processed through machine learning algorithms for product matching. A key feature is a dual verification process that combines this AI-driven matching with manual checks by a quality assurance team to ensure high data accuracy. This system allows clients to track competitor pricing, automate price adjustments based on predefined rules (e.g., maintaining a certain market position or margin), monitor product availability across distribution networks, and receive alerts on significant market changes. The ultimate goal is to enable data-driven decision-making, helping clients protect brand value, increase profit margins, and improve sales volume.
Keywords: e-commerce analytics, price monitoring, dynamic pricing, repricing AI, competitor analysis, ROAS optimization, distribution monitoring, retail data, brand protection, market insights, web scraping, data analysis, pricing strategy, e-commerce intelligence, margin optimization, product availability tracking, online retail performance, competitor assortment, e-commerce tools, data-driven decisions