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Recoshelf

Empty shelves of retail dont sell, we prevent it

Ukraine, Kyiv city
Market: Logistics and warehouses, Food industry, Trade, Robotics, Artificial Intelligence
Stage of the project: Prototype or product is ready

Date of last change: 29.09.2021
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Idea

Monitor how well retail sell your product.

With the use of computer vision and IoT. We track key indicators like OOS, OSA, and consumer behavior.

Current Status

Launched a commercial agreement for queue control, 650 shops chain, first MRR is $500 with $40K potential.

MVP for shelf control is ready

Implement pilot projects.

Market

Global PAM is $35B.
TAM is $3B
SAM is $1B

Problem or Opportunity

Retail suffer from the fierce e-commerce competition. Customers become very sensitive to service. Margins shrink. The whole retail business process should be revised.
Up to 20% of time the shelves are empty. There is a potential to earn $500B more if the shelves are full.
We believe the digitized shelf would sell more that lead to increasing of product availability (OSA).

Solution (product or service)

Recoshelf has developed an AI based system to prevent downtime of shelves, controls queues and inappropriate storage conditions. The digital model of the enterprise, which we build on the basis of neural networks, allows us to identify these and other problematic business processes in a timely manner and respond to them.

Competitors

TRAX is market leader. Other competiors are:
https://vispera.co/
https://www.traxretail.com/
https://planorama.com/
https://intrtl.com/
https://www.softservebs.com/uk/solutions-2/trade-marketing-efektivnij-merchendajzing/
https://shelfierobot.com/#howitworks
http://www.mysales-labs.com/
smartshelf.com
https://www.wiseshelf.com/
www.picsell.ai
Shelfmatch
https://www.observanow.com/

Advantages or differentiators

Our advantages are:
1. Little data for machine training
2. Low internal R&D costs
3. Light, affordable IoT camera
4.We don’t charge CAPEX to customers

Finance


We project up to 1mil revenue in 2022 due to the existing contract with 300K potential adding other customers we pilot with now.
Cost structure:
COGS 45,94%
G&A 8,91%
R&D 34,52%
Sales and Marketing 10,63%

Business model

We build enterprise solutions, license our product with SAAS model
Channel No1: direct sales to C-level
No2: partners
No3: exhibitions

Price level: $10-40 per camera. One shop use may 10, 50, 200 cameras.

Money will be spent on

COGS: 50%
R&D: 34%
Marketing and Sales: 10%

Offer for investor

10% of Estonian entity or convertible.

Team or Management

Risks

New technology invention
Monopolization by TRAX
Competition from large ERP/automation companies
Recession

Incubation/Acceleration programs accomplishment

Finished Demium and BuildIT accelerations in 2019-2020
Attended Y incubator School in 2019-2020

Won the competition and other awards

1. National USF grant https://usf.com.ua/projects_catalog/
2. Startus "promising starups https://www.startus-insights.com/innovators-guide/discover-7-retail-startups-you-should-watch-in-2021/
3. Amazon award AWS AI CHALLENGE

Product Video

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Idea
Current Status
Market
Problem or Opportunity
Solution (product or service)
Competitors
Advantages or differentiators
Finance
Invested in previous rounds, $
Business model
Money will be spent on
Offer for investor
Team or Management
Mentors & Advisors
Lead investor
Risks
Incubation/Acceleration programs accomplishment
Won the competition and other awards
Invention/Patent
Product Video