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Shivani Jasoliya

Support operations and industry guides · Vatdi team

Shivani writes about running support with an AI assistant in the loop: handover rules, the weekly quality review, deflection measured honestly, data handling, and what changes for a fashion, furniture, education or B2B store. Measure first, then recommend.

Three stages of customer service automation for a small store: answers, routing and reporting
Support operations
16 views

Customer service automation for a small store is a sequence, not a platform decision. Automate answers first, because that is where the volume is, then routing, then reporting. Leave judgement, goodwill and anything emotional alone. This guide gives the order, what each stage needs, the things that should never be automated, and how to tell whether any of it worked.

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Question map for a property chatbot covering availability, viewings, fees, repairs and references
Industry guides
26 views

A property management chatbot handles the questions that arrive constantly and rarely need judgement: what is available, how viewings work, what the fees are, how to report a repair and what references you need. Emergencies and disputes go straight to a person. This guide covers the content to publish, the escalation rules that matter most in property, and what to avoid saying.

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Checklist of chatbot guardrails for an online store covering stock, discounts, advice, identity and escalation
Support operations
98 views

Chatbot guardrails are the rules that keep an assistant from promising what your business cannot deliver. For an online store the list is short: no invented stock or delivery dates, no discounts you did not authorise, no advice outside your expertise, no pretending to be human, and a clear route to a person. This guide covers each rule, how grounded answering enforces most of them, and how to test they hold.

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Checklist of six chatbot KPIs a small store should review weekly, from answered without a person to assisted sales
Support operations
100 views

Most AI chatbot KPI lists are written for contact centres with twenty agents. A small store needs six numbers: answered without a person, the unanswered-question list, handover wait, ratings on answered conversations, repeat contacts and assisted sales. This guide defines each one, says where to read it, how often to look, and which vanity metrics to leave out of the report entirely.

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Bar comparison of three chatbot deflection definitions showing how the same conversations produce very different rates
Support operations
92 views

Chatbot deflection rate is the share of conversations that end without a person, and it is the easiest support metric to fool yourself with. A customer who gave up counts the same as a customer who got an answer. This guide covers the three definitions vendors use, how to measure the honest version, why published benchmarks are other people's stores, and what to change when the number moves.

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Flow showing a chatbot conversation escalating to a human agent with the transcript and order details attached
Support operations
127 views

Chatbot human handover is the difference between an assistant customers trust and one they resent. Four triggers are worth escalating on: the customer asks, the assistant lacks the answer, the topic is sensitive, or the conversation is going in circles. This guide covers what to pass to the agent, what to tell the customer, how to handle out-of-hours, and the numbers that show whether the rules are set right.

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Map of the questions a retail chatbot handles for an online store: stock, sizing, order status, returns and store hours
Industry guides
111 views

A chatbot for retail earns its place by answering the questions that stop a sale: stock, sizing, delivery dates, order status, returns and where the shop is. This guide lists what shoppers actually ask, what a retail assistant should and should not handle, how physical shops with an online store use one, and how to set it up from your own catalogue and policies in an afternoon.

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Chat where the AI recognises a delivered-but-missing parcel and hands the case to a person with the order details
Support operations
111 views

An AI customer service bot earns its place on the contacts with an answer in your content or order data, and loses trust the moment it improvises on the rest. This guide draws the line: what a retrieval-based bot handles well, what it must hand to a person and how, the ten instructions that keep it honest, what our data shows, and the numbers to watch weekly.

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