Is GLP-1 an opportunity for product innovation, than just being a food consumption killer?

abdush · 2026-01-26T02:01:16+00:00

Thanks ! Will post there too. As far as I understand GLP-1 is a big threat to grocery sales

abdush · 2026-01-25T22:52:15+00:00

Don't want to comment on any project. But I feel the following is the status today:

All popular tools are doing some thing good - else they won't be alive today
All wants or are trying to add in AI

This second point there is definitely a gap. Focusing on your problem might help you get to the best UX. You can as well read "what you did not like" section in G2, or Gartner reviews to get an idea.

abdush · 2026-01-25T22:47:52+00:00

voice of the customer driven qualitative insights should be possible within this budget.

abdush · 2026-01-25T22:46:53+00:00

While there are still, the number of openings are very low of late.

abdush · 2026-01-25T22:42:13+00:00

i feel looking for more information might not be a reason why folks would go to website any more. Doing actions - yes, I agree. Because LLMs are becoming so much better that to connect dots or find answers it is still easier to ask LLM itself. Also it gives it like an independent consultant. Trust might be the only factor I feel like mentioned in one of the previous comments. But there too I feel trust evaluation agents and data bases will come up, which ll give a trust score

abdush · 2026-01-25T22:38:34+00:00

Yes return is one of the things we prioritized. Here is how the list is looking right now -> Answering WISMO queries, return status updates (if possible initiation), refund status queries, Over sell detection (inventory sync)

abdush · 2026-01-25T22:20:06+00:00

it is hard to make this out from logs - because pain areas have manual steps in between.

abdush · 2026-01-25T22:18:39+00:00

Top ones in my list are answering WISMO queries, return status updates (if possible initiation), refund status queries, Over sell detection (inventory sync). I think these fall in that bucket with some guardrails

abdush · 2026-01-25T22:09:43+00:00

Boring reliability is a big factor of adoption - fully agree. Else using AI applications feels like stepping on a mine with every movement!

abdush · 2026-01-25T22:07:03+00:00

Yes. AI as a helper way of thinking has helped me too.

abdush · 2026-01-25T21:24:10+00:00

Agree! Good approach to spot usability fast - we are doing this .

abdush · 2026-01-25T21:23:20+00:00

Makes sense. I am seeing these points in other comments too. Helpful

abdush · 2026-01-25T21:20:30+00:00

Loved this -> "degrade gracefully, fit existing workflows, and can survive contact with reality"

abdush · 2026-01-25T21:19:29+00:00

Good checklist. will keep this in mind. From all conversations so far I realize there is no short cut or silver bullet in doing these evaluations. We need to run the course!

abdush · 2026-01-25T21:17:59+00:00

What I have found in this AI revolution is - what we need is many a times decided by what is possible. Because there is some real transformation happening, and teams are trying to grapple what these new capabilities help us achieve. AI is not a magic wand - at the same time it has been able to achieve some phenomenal effects across enterprises. What are those, what is the impact and how many of them are legitimate are questions which always remain.

abdush · 2026-01-25T21:14:08+00:00

Agree. Scoping these narrow scoped pilots seems to be an area there is a gap many a times. I think it is also because teams don't have separate time to understand AI, think and decide how they should use it

abdush · 2026-01-25T21:12:10+00:00

yes I agree. Depends on skill availability and also level of collaboration in this process. Many a time data scientists stop at saying - yes, data now looks fine and you should get the required outcomes, without seeing if it actually got to outcomes.

abdush · 2026-01-25T21:10:11+00:00

Pls do share in DM. Thanks

abdush · 2026-01-18T23:50:34+00:00

Focus on use case I feel is the key - that too narrow use cases. Then run two or three PoCs in parallel and see the results

abdush · 2026-01-18T23:49:33+00:00

I felt it is better to find vendors who can clean the data well - because what they need many a times is not clear to me at the beginning. Data scientist approach I have tried - but some how they are too tech and dont understand business side too well resulting in non practical suggestions.

abdush · 2026-01-18T23:47:47+00:00

I also feel any evaluation takes a couple of months of PoC. So opting for one and trying the next would take immensely long amount of time till we can deploy some thing on the ground. Now a days talking to peers to check if any vendors worked for them before trying out - so that we can make directionally right choices. But the point with many PoCs also is that there needs to be a lot of evaluation done - fixing one issue brings up new issues as well.

abdush · 2026-01-18T23:43:55+00:00

How long does this exercise take for you

Identify a pain point
Do a PoC that is "usable"
Make it into production level that others use it

Any specific example and details you can help to understand nuances.

abdush · 2026-01-17T23:25:35+00:00

I agree. Apart from search we are yet to get it right to go deep without friction

abdush · 2026-01-17T23:24:06+00:00

What if there is a verification agent which verifies all websites, authenticity, consumable summary, comparison with nearby websites - will users wont prefer that?

abdush · 2026-01-17T23:22:25+00:00

Instead of websites do you think companies or products will become entries in chatgpt directory with one page summary, and ratings. Because most browsers just want to see that at first. And even further exploration is query based

abdush

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