What we do
Algoretail employs AI and machine learning to transform and automate grocery retail stocking procedures from the supplier, through the stockroom and onto the shelf.
Leveraging our unique knowledge and understanding of the grocery industry, and empowered with innovative technology, we bring measurable value to grocers, delis, and supermarket chains.
5% added growth in grocery sales
35% decrease in waste
15% increase in net profit
Who we are
Ariel Hubara
Co-Founder & CEO
Ariel is a well-respected retailer expert with a vision to solve the main challenges of the grocery stores global industry. He started his way as a bookkeeper and worked his way up through several different positions in the retail world including managing positions and VP in one of the well-known supermarket chains in Israel.
His 14 years of experience made him tech enthusiastic with an innovative idea that pragmatically solves retail challenges in an efficient and fully automated way.
As Algoretail’s CEO, Ariel is fully involved in the company’s day-to-day operations. He takes an active role in client relations and highly devoted to customer care success.
Shuki (Josh) Shechter
Co-Founder & CTO
Josh is the tech expert of Algoretail. He started as a tech teacher after graduating from the Technion (Israel institute of technology) and while doing so, he started his tech entrepreneur life.
In his 25 years of experience in the software & hardware world, Josh built and founded several successful tech companies among them he co-founded Stornext that later on he and his partner sold Storenext to Retalix.
As Algoretail’s CTO, Josh is responsible for the software design, tech analysis and the development of Algoretail with a high level of attention to details.
Shahar Daka
Deputy CEO & Biz Dev
Deputy CEO & Business developer, who have been involved in the industry from grassroots to top senior management level.
As a VP Operation and Business Developer of one of the biggest retail network of Israel, Shachar managed a multi-million dollar operation business, with a deep insight of the business channelings.
How we do it
Algoretail Active Planogram
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Increased display attractiveness
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Maximized sales and shelf productivity across departments and branches
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Analysis and A/B testing of product placement with profit history and forecasts per shelf
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Maintain customer loyalty with high stock availability and intuitive product placement
Algoretail Tasks
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Work plan and planogram display on the user’s mobile device
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Product placement tasks are intelligently timed and tracked to allow for stock associates’ performance analysis
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Real-time synchronization with sales and inventory data
Algoretail IO
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Data-driven sales forecasting
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Real-time auto-replenishment engine
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Granular reporting with graphic representation of insights
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Customizable real-time alerts