Blog
Practical notes on embeds, catalog sync, and AI advice that stays inside your site.
24 articles
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Advising on bundles and sets without inventing prices
Bundles raise AOV — when they exist in data. How to advise on sets without price improvisation.
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The weekly ritual for an AI product advisor that keeps improving
Without a ritual, advice quality drifts. How to link analytics to catalog and knowledge fixes.
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Mobile-first: an AI widget that actually sells on phones
High opens, low clicks on mobile? Usually UX. A practical test plan for launcher, chips, and buy box.
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Attribute quality: which product fields make or break advice
No prompt saves an empty size column. How to prioritize attributes that enable product clicks.
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Returns and shipping in AI advice without breaking promises
Delivery and returns belong beside the catalog — with stricter discipline than marketing copy.
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Cross-sell and upsell with an AI product advisor
Help first, then broaden. How to build cross-sell on real SKU relationships instead of generic suggestions.
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Guided selling: from preference to product click
Good questions shorten the search. How to build an advice flow that ends in a product click, not chat noise.
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Peak season: AI advice that scales with your traffic
Peak traffic exposes a weak catalog and vague policies. This checklist keeps advice standing.
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Sync frequency: how fresh your catalog really needs to be
Too slow means wrong stock advice. Too aggressive means noise. How to pick a rhythm that fits your shop.
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A/B testing widget placement without breaking UX
Do not guess where the widget sits. A practical test plan for placement, default state, and suggestions.
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Multilingual bots: one catalog, multiple languages
Same SKUs, different language. How to avoid duplicate sync chaos and keep advice sharp per market.
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ROI of an AI product advisor: what you can actually measure
ROI is not vanity opens. How to link widget behaviour to product clicks, leads, and a better catalog, without loose assumptions.
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Fynd vs a generic chatbot: when catalog-first wins
Generic sounds fluent, but does not know your SKUs. Compare approaches and pick what fits retail.
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Closing unanswered questions: a weekly fix loop
Every gap is a product or content shortfall. How to turn analytics into a steady improvement loop.
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Catalog quality for RAG: checklist before you go live
RAG is only as good as your sources. This checklist prevents friendly but useless answers.
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Capturing leads with product advice (without pushing)
The right moment for an email or callback comes after useful advice, not before. How to capture leads without friction.
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WooCommerce & Shopify: embed Fynd without a native plugin
No native app required to go live. How to place the widget on Woo, Shopify, and custom, with the right sync.
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Privacy and shopper data: what your shop should set up
Conversations belong to your shop. How to talk clearly about data, analytics, and what visitors should expect.
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Multiple bots in one shop: personas that sell
Running specialist on sports, skincare on beauty: same catalog, different voice. How to use personas and isolation well.
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From widget open to purchase: what analytics shows
Opens, messages, product clicks, and gaps, without vanity metrics. Which numbers to check weekly and how to close gaps.
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Starter trial and plans: pick the right level
New shops get 14 days of Starter. Use that time to validate sync, widget, and real questions, then scale deliberately.
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RAG on your catalog: why generic chatbots fall short
Answers without your SKUs, policies, and brand voice stay guesswork. How catalog-first RAG works in practice.
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Embed an AI product advisor in your webshop
One script tag and a solid catalog source: Fynd goes live without a native plugin. How to prepare sync, embed, and launch.
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Widget UX that does not interrupt (but does advise)
Inline playground, suggestions, and themes, without overwriting your storefront. Practical choices before you go live.
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