InstaShelf

Real-time insights to >1M stores with AI-powered mobile app

1 follower

Real-time insights to >1M stores with AI-powered mobile app

1 follower

Unlock the full potential of your sales and marketing team with our AI-powered mobile app. Our AI models identify products at SKU level, empowering team with merchandising & distribution gaps, competitor activity and pricing insights across millions of stores.

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Launch tags:Android•Productivity•Task Management

Launch Team

LM-Kit OneThe Private AI Application Server

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InstaShelf

Maker

Thank you @katmanalac for hunting! Hello Product Hunt, CPG brands spend north of $500 bn in trade marketing annually to buy prime shelf space in retail stores and influence consumer decisions. However, they have little visibility on if their money is being put to a good use, and the primary way to monitor the quality of in-store execution is for someone to manually eye-ball billions of products across millions of stores, take their notes, digitise them and share it with the sales and marketing team. @eunice_wong1 used to manage 50 retail outlets in one of her previous roles, and half of her time was spent travelling to stores doing this manual eye-balling and auditing. This process is not only tedious and expensive, but also at best 70% accurate. Additionally, the reports are retroactive, typically reaching the decisions makers after a week or even a month of audits. And that is why, we decided to build Instashelf, a mobile based solution that converts photographs into real-time actionable insights enabling perfect in-store execution. A typical user is a sales representative or a merchandiser visiting a store on their usual beat, clicking photographs and uploading them on our server. Our AI models then identify products in these photographs down the SKU level (brand/ flavour/ pack-size/ promotional packs), note their placement and pricing, and generate reports almost instantly. Instashelf runs on mobile phones with a 2 MP+ camera (practically any cellphone!) and is capable of doing the audits offline. The reports include insights on product availability, pricing, new products or promotions by competitors, share of shelf and adherence to planogram requirements. All of this is delivered in an intuitive and easy-to-use dashboard showing immediate issues to improve operations and long-term trends to use in strategy. The founders would love to hear your feedback, feature requests or any other queries at eunicewong@milkyway.ai or sagarsetu@milkyway.ai. Have fun building!

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5yr ago

Looks great, congrats on the launch!

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5yr ago

Thank you Eunice and Sagar for the exceptional partnership as we developed this solution for launch in my markets. The product itself is extremely simple and intuitive to use; vital as we rely on our front line to gather the necessary information. An easy recommendation.

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5yr ago

InstaShelf

Maker

@adriank Thank you especially for your continued feedback which helped us shape our product.

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5yr ago

Revery

Awesome launch! Wonder how do you handle inventory in the back of the shelf?

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5yr ago

InstaShelf

Maker

@jeffz00 Thank you! We estimate the shelf depth using multiple photographs and make an estimate for the stock that's not visible from the front. Any further details on the requirement or suggestions on solution approach are most welcome!

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5yr ago

Super exciting product to transform off-line retail!

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5yr ago

InstaShelf

Maker

@kedan_li2 Thanks! We have partners who combine our physical retail data with e-commerce data and make the insights even more rich! Stay tuned for updates on that

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5yr ago

Aleph Solutions

I really love your product! Super simple and a real need. Congrats on the launch!

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5yr ago

InstaShelf

Maker

@gzelerteins Glad you found it useful!

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5yr ago

Amazing job guys! Looks really promising. Congrats on the launch!

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5yr ago

InstaShelf

Maker

@vishesh_sood Thank you and looking forward to feedback from you and your network

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5yr ago

Wow, great team and the product! All the best and sincere congratulations on the launch!

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5yr ago

InstaShelf

Maker

@kazplex Many thanks! More feedback and feature requests always welcome from you and your team

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5yr ago

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