
ComeBy
SaaS pocket retail assistant that breaks down the walls between shoppers and brick and mortar stores.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Seed | ||
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
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ComeBy.io is a tech startup that operates in the retail industry, specifically focusing on sportswear retailers. The company offers innovative solutions that help retailers increase their sales and enhance customer experience. They do this by providing personalized recommendations to customers who scan products in-store. This not only boosts sales but also improves the overall shopping experience for customers.
In addition to this, ComeBy.io also offers expert insights that aid retailers in making informed decisions about product selection and store layout designs. This strategic decision-making support can lead to more efficient store operations and potentially higher profits.
Furthermore, ComeBy.io's solutions help retailers save on mall leases by analyzing external traffic. They also attribute value to additional store footfall, which can be a significant revenue driver for brick-and-mortar retailers.
The company's solutions also save staff time and increase shopper efficiency by 20%. This can lead to significant cost savings for retailers and a more streamlined shopping experience for customers.
Lastly, ComeBy.io helps retailers with sales forecasting and managing out-of-stock situations. By converting and reconverting shoppers facing out-of-stock items, retailers can potentially increase their sales and customer satisfaction.
ComeBy.io's business model seems to be based on providing these services to retailers, likely on a subscription or contract basis. This means the company generates revenue by charging retailers for access to their solutions and expert insights.
Keywords: Retail Technology, Sportswear Retailers, Personalized Recommendations, Store Layout Design, External Traffic Analysis, Store Footfall, Staff Time Saving, Shopper Efficiency, Sales Forecasting, Out-of-Stock Management.