WebAgent Revamp for a B2B Wholesale Distributor

A large catalogue website containing years of accumulated product listings and pricing detail that buyers had to dig through page by page — most visitors left without ever submitting an enquiry, simply because finding the specific answer they needed took too long.

Minimum-order and mixed-SKU rules lived buried in a downloadable PDF that neither returning buyers nor newly hired sales representatives could navigate quickly, meaning even simple questions routinely required someone to stop and go dig through a document.

Years of accumulated Google ranking on the existing domain that a full rebuild would have put at serious risk — the business had watched competitors lose search visibility for months after a redesign and was understandably reluctant to repeat that mistake.

New sales representatives took weeks to become confident quoting accurately from the catalogue and pricing rules, creating a training bottleneck that slowed down onboarding and left inconsistent answers going out to prospective buyers in the meantime.

Buyers frequently abandoned the enquiry process after failing to find a direct price for a specific combination of products, defaulting instead to competitors whose sites made it easier to get a fast, if less precise, answer.

There was no way to distinguish a serious, ready-to-order enquiry from casual browsing until a sales rep had already spent time on a phone call or email exchange, making lead prioritization largely guesswork for the commercial team.

Order confirmations and payment collection happened entirely outside the website through a separate manual process involving phone calls, bank transfer instructions sent by email, and days of back-and-forth before an order was actually locked in.

The catalogue itself was updated infrequently because doing so required a developer, so pricing changes and new product additions lagged behind reality by weeks at a time, occasionally causing quoted prices to be wrong.

Seasonal demand spikes around key ordering periods meant the small commercial team was regularly overwhelmed by simultaneous enquiries, and the business had no way to triage which conversations needed a human immediately versus which could be handled by a straightforward, repeatable answer. The business had tried hiring temporary seasonal staff in past years, but training them on the pricing rules and catalogue took longer than the peak period itself lasted, making the approach barely worth the cost.

Revamped the existing site into an AI Web Agent hosted on the exact same domain — the catalogue pages, pricing tables, and terms documents became the agent's training data directly, so search engine rankings and years of accumulated backlinks were fully preserved rather than reset.

Old individual product URLs now issue clean redirects into live conversations that answer pricing and minimum-order-quantity questions precisely, sourced strictly from the same approved data that used to sit static and unreachable in a PDF.

Buyers can now request a quote directly in chat for any combination of products, confirm the resulting order, and receive a Razorpay payment link mid-conversation for either an advance deposit or the full amount, without leaving the conversation at any point.

Every order enquiry is automatically logged as a scored lead with the specific products, quantities, and stated urgency attached, then routed to the correct regional sales representative complete with the full conversation context already captured.

New sales representatives are handed a working, always-current source of truth from day one — the agent itself — cutting the ramp-up time that used to be spent memorizing pricing rules and hunting through the old minimum-order PDF.

Configured the agent to flag genuinely high-intent conversations — specific quantities requested, a delivery timeline mentioned, a payment link generated — so the commercial team can prioritize follow-up instead of treating every enquiry identically.

Set up a same-day update process so that price changes and new product additions reach the agent's knowledge base within hours rather than the weeks it used to take through the old developer-dependent catalogue update process.

Preserved every existing terms-and-conditions and policy page as source material for the agent, so nuanced questions about returns, bulk discounts, or delivery zones are answered with the same precision as pricing questions.

Built in seasonal awareness so the agent can surface relevant promotions, bulk-order deadlines, or capacity constraints proactively during known peak ordering periods, smoothing out the enquiry spikes that used to overwhelm the commercial team all at once.

Added a lightweight analytics layer on top of the agent's conversation logs so the commercial team can see which product lines generate the most quote requests each month, turning what used to be anecdotal sales-floor impressions into an actual data source for purchasing and inventory decisions.