Floriva Gifts faced customers preferring WhatsApp over website chat for gift enquiries and delivery coordination E26 Media built WhatsApp Business API integration with AI FAQ automation and seamless agent handoff integrating with their presence at florivagifts.com where applicable. Technology centre of gravity: Python, WhatsApp Business API, and AI automation — implemented by our Mangalore AI practice with production monitoring.
Gift buyers coordinate with family on WhatsApp — sharing links, addresses, occasion details. Website-only support missed customers on their preferred async channel. Meta messaging policies and opt-in requirements governed compliant programmatic outreach.
Discovery mined support tickets, sales call notes, and catalogue policies to ground answers in Floriva Gifts reality not generic templates. Conversation design balanced automation with human escalation when empathy or judgment mattered — sympathy orders and edge cases. Widget and API integration kept visitor experience native to florivagifts.com without jarring third-party iframes where avoidable.
This case study documents support scale economics, knowledge architecture, testing, launch, and outcomes for WhatsApp Business AI chatbot. Floriva Gifts demonstrates E26 Media AI delivery alongside ecommerce and website projects in our international portfolio. Sections cover intent design, retrieval grounding, handoff logic, operations integration, and continuous improvement from conversation logs.
Prospects evaluating AI vendors can reference a production WhatsApp Business AI chatbot system not slide-deck promises. Read on for technical implementation detail, quality safeguards, and how Floriva Gifts reduced manual ticket load. E26 Media supports knowledge base updates as catalogues and policies evolve — critical for retail AI longevity.
Channel
WhatsApp Business API
AI
FAQ + routing
Handoff
Human agents
Client
Floriva Gifts
WhatsApp as primary customer channel
For Floriva Gifts, whatsapp as primary customer channel began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Cross-functional workshops for whatsapp as primary customer channel aligned marketing, sales, and operations on what qualified success looked like before budgets were committed. Instrumentation tied to whatsapp as primary customer channel was validated in test environments so production analytics reflected real user behaviour, not configuration errors. Archive copies of creative, copy, and configuration from whatsapp as primary customer channel accelerated future campaign builds and reduced redundant discovery work.
AI FAQ and agent handoff
For Floriva Gifts, ai faq and agent handoff began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Risk registers for ai faq and agent handoff listed dependencies, owner responsibilities, and rollback steps if key metrics failed to move within agreed timeframes. Training materials supporting ai faq and agent handoff were kept concise so non-technical stakeholders could understand what changed and why it mattered commercially. Quarterly planning sessions referenced outcomes from ai faq and agent handoff when prioritising the next optimisation cycle for the account.
Integration with Floriva operations
For Floriva Gifts, integration with floriva operations began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Cross-functional workshops for integration with floriva operations aligned marketing, sales, and operations on what qualified success looked like before budgets were committed. Instrumentation tied to integration with floriva operations was validated in test environments so production analytics reflected real user behaviour, not configuration errors. Archive copies of creative, copy, and configuration from integration with floriva operations accelerated future campaign builds and reduced redundant discovery work.
Shared knowledge with website bot
For Floriva Gifts, shared knowledge with website bot began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Cross-functional workshops for shared knowledge with website bot aligned marketing, sales, and operations on what qualified success looked like before budgets were committed. Instrumentation tied to shared knowledge with website bot was validated in test environments so production analytics reflected real user behaviour, not configuration errors. Archive copies of creative, copy, and configuration from shared knowledge with website bot accelerated future campaign builds and reduced redundant discovery work.
Structured order detail collection
For Floriva Gifts, structured order detail collection began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Acceptance criteria for structured order detail collection were agreed with stakeholders before execution began, so completion could be evaluated against defined benchmarks rather than subjective impressions. Staged rollout for structured order detail collection included monitoring windows that allowed the team to correct course before changes affected every visitor or campaign dollar. Handover documentation for structured order detail collection captured decisions and metrics so the client's team could sustain gains after the active engagement phase ended.
Meta policy compliance
For Floriva Gifts, meta policy compliance began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Risk registers for meta policy compliance listed dependencies, owner responsibilities, and rollback steps if key metrics failed to move within agreed timeframes. Training materials supporting meta policy compliance were kept concise so non-technical stakeholders could understand what changed and why it mattered commercially. Quarterly planning sessions referenced outcomes from meta policy compliance when prioritising the next optimisation cycle for the account.
Agent desktop and notifications
For Floriva Gifts, agent desktop and notifications began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Risk registers for agent desktop and notifications listed dependencies, owner responsibilities, and rollback steps if key metrics failed to move within agreed timeframes. Training materials supporting agent desktop and notifications were kept concise so non-technical stakeholders could understand what changed and why it mattered commercially. Quarterly planning sessions referenced outcomes from agent desktop and notifications when prioritising the next optimisation cycle for the account.
Australia timezone support coverage
For Floriva Gifts, australia timezone support coverage began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Risk registers for australia timezone support coverage listed dependencies, owner responsibilities, and rollback steps if key metrics failed to move within agreed timeframes. Training materials supporting australia timezone support coverage were kept concise so non-technical stakeholders could understand what changed and why it mattered commercially. Quarterly planning sessions referenced outcomes from australia timezone support coverage when prioritising the next optimisation cycle for the account.
Media and address sharing flows
For Floriva Gifts, media and address sharing flows began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Acceptance criteria for media and address sharing flows were agreed with stakeholders before execution began, so completion could be evaluated against defined benchmarks rather than subjective impressions. Staged rollout for media and address sharing flows included monitoring windows that allowed the team to correct course before changes affected every visitor or campaign dollar. Handover documentation for media and address sharing flows captured decisions and metrics so the client's team could sustain gains after the active engagement phase ended.
Payment and exception routing
For Floriva Gifts, payment and exception routing began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Acceptance criteria for payment and exception routing were agreed with stakeholders before execution began, so completion could be evaluated against defined benchmarks rather than subjective impressions. Staged rollout for payment and exception routing included monitoring windows that allowed the team to correct course before changes affected every visitor or campaign dollar. Handover documentation for payment and exception routing captured decisions and metrics so the client's team could sustain gains after the active engagement phase ended.
Volume and conversation cost modeling
For Floriva Gifts, volume and conversation cost modeling began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
Risk registers for volume and conversation cost modeling listed dependencies, owner responsibilities, and rollback steps if key metrics failed to move within agreed timeframes. Training materials supporting volume and conversation cost modeling were kept concise so non-technical stakeholders could understand what changed and why it mattered commercially. Quarterly planning sessions referenced outcomes from volume and conversation cost modeling when prioritising the next optimisation cycle for the account.
Outcomes for omnichannel Floriva
For Floriva Gifts, outcomes for omnichannel floriva began with stakeholder workshops defining what the AI must never guess and when to escalate immediately. We structured approved knowledge — products, policies, delivery rules, pricing bands — into retrieval chunks tuned for WhatsApp Business AI chatbot query patterns. Prototype conversations with real staff surfaced phrasing customers use on WhatsApp Business AI chatbot versus internal jargon documentation had used.
Implementation used Python, WhatsApp Business API, and AI automation components with logging, confidence scoring, and rate limits appropriate for florivagifts.com traffic profiles. Quality review cycles sampled anonymised transcripts weekly during launch month to catch drift before customers noticed. Integration hooks connected WhatsApp Business AI chatbot events to Floriva Gifts support workflow — notifications, tagging, and optional order lookups scoped to platform APIs.
We benchmarked outcomes for omnichannel floriva against pre-engagement baselines to quantify uplift in monthly reporting and justify continued investment in the channel. Review checkpoints during outcomes for omnichannel floriva prevented misaligned launches — each increment shipped only after staging validation and stakeholder sign-off. Frontline staff feedback after the initial outcomes for omnichannel floriva release informed practical refinements that pure analytics alone would have missed.
Project timeline
Setup
WhatsApp Business API onboarding and policy compliance.
Build
AI flows, handoff logic, operations integration.
Launch
Soft launch, agent training, monitoring and tuning.
Problem
Customers preferred WhatsApp over website chat for gift orders.
Solution
WhatsApp Business API integration with AI FAQ and human handoff.
Outcome
Floriva customers can enquire and order via WhatsApp.
Key highlights
✓ WhatsApp integration
✓ FAQ automation
✓ Agent handoff
PythonWhatsApp APIAI automation
Related questions
Yes — ordering, booking, support for Karnataka retailers and clinics. Floriva shows international WhatsApp AI. API onboarding scoped per client.
Meta charges per conversation category. We model costs in discovery from volume. Transparent reporting to client.
Agents receive full thread context. No repeat your order frustration. Triggers on low confidence or user request.
Compliance with Meta WhatsApp policies. Floriva flows respect marketing versus utility messages. Documented in launch checklist.
Shared knowledge base for consistent answers. Channel-specific UX adaptations. Single update propagates both.
Structured flows collect details before human quote. Complex sympathy orders escalate. Integration with order system scoped.
Flows can accept address or inspiration photos. Agent review when needed. Media handling per API capabilities.
AI covers FAQs overnight Australian time. Humans during staffed hours. Escalation rules per Floriva roster.
Custom flows fit Floriva gift catalogue nuance. Generic bots miss delivery cutoff rules. E26 built alongside ecommerce.
API credentials secured. Webhook verification. Access limited to operations staff.
Knowledge updates with catalogue changes. Log review for new intents. Retainer optional.
Production omnichannel AI with website chatbot. Verifiable Floriva Gifts client. E26 AI portfolio flagship.
