Portfolio-built chatbot prototype · Food business automation
Cravings to Go Customer Inquiry & Order Support Chatbot
A structured customer-support chatbot prototype designed to answer routine food-business inquiries while keeping custom requests and final order confirmation with a person.
Small food businesses often answer the same questions about menu availability, delivery areas, payment options, party-tray sizes, and ordering procedures.
I designed a structured chatbot prototype that organizes this information into clear responses while reserving custom requests, availability checks, and final order confirmation for human review.
Operational problem
Repeating the same delivery and payment answers across conversations
Keeping party-tray and ordering information consistent
Answering common pre-order questions without losing a warm customer tone
Avoiding guesses about prices, contact details, or availability
Keeping custom requests and order approval under human review
System built
I organized the business information into a structured chatbot knowledge base so routine customer questions can receive clear and consistent answers. Requests requiring availability confirmation, customized orders, or final order approval remain subject to human review.
Workflow diagram
01Customer message
02Knowledge-base prompt prepared
03Relevant documented information used
04Scoped AI response delivered
05Human confirmation for custom requests
Covered FAQ → concise customer reply
Missing or custom detail → message the business directly
Tools and technical capabilities
Delivery and payment inquiry support
Party-tray capacity information
Ordering instruction responses
Knowledge-base-only answering rule
Fallback response for missing information
Human confirmation boundary for custom orders
Actual project evidence
Chatbot Interface PreviewShows the existing Cravings to Go chatbot prototype with greeting and quick inquiry prompts.Structured Knowledge BaseSummarizes verified delivery, payment, party-tray, ordering, availability, and boundary rules from the local project files.
Human confirmation boundary
The prototype supports routine inquiry responses only. Availability, custom requests, pricing details not present in the knowledge base, and final order approval should be confirmed by a person.
Key learning or next improvement
Recommended future improvements include direct website-chat integration, structured order collection, automatic order logging, owner notification, order-status tracking, unanswered-question logging, and FAQ analytics. These are recommendations, not completed features.
Have a similar workflow bottleneck?
I can help map the repetitive steps and identify where practical automation could make the process easier.