{"slug":"create-an-ar-framework-for-offline-shops","name":"Instant Product Advisor","category":"Sales","customer":"Shop owners at independent boutiques and specialty stores","problem":"Customers leave empty-handed because staff cannot provide quick answers about product details or alternatives.","value":"For shop owners at independent boutiques and specialty stores, turn product labels and images into instant customer answers and checkout capability. Address the problem: customers leave because they cannot get quick answers about fit or materials. The value hypothesis is a self-service sales agent that operates on existing devices without app installation; the pilot must establish whether this reduces staff workload and increases conversion rates.","format":"Source-linked assistant and administrator console","screens":"Key screens: Inventory scanner, customer query interface, checkout agent. Use a camera viewfinder for scanning items, a chat interface for answering questions, and a payment link generator for checkout. The first view is the inventory scanner, followed by the customer query interface and checkout agent.","functionality":"1. Scan product labels with camera. 2. Extract attributes from images and web data. 3. Generate a customer-facing QR code. 4. Identify products in real time via camera. 5. Answer natural language questions about products. 6. Generate payment links for checkout.","workflow":"Upload product images, scan labels to extract data, review extracted data, generate a customer URL, answer customer questions, process checkout requests, and hand over the item. Start with product images and finish with a completed sale.","ai":"Use vision models to identify products from camera feeds and language models to answer questions using the shop's own data. Validate product attributes against the database. A shop owner reviews the extracted data before it is used to ensure accuracy.","inputs":"Product images, label text, web data, shop product database","deliverables":"A customer-facing URL with camera recognition and Q&A capabilities, and a populated product catalog","admin":"Shop owner accounts, product database versions, approval states for extracted data, usage logs, and subscription management","mvp":"The first cut: one shop owner, one product category, the scanner module and the basic Q&A module, manual review of extracted data","expansion":"Automated checkout processing, multi-language support, inventory management integration, and advanced analytics on customer queries","usp":"A sales assistant that runs on the customer's existing phone without requiring app downloads or hardware installation","defensibility":"The value comes from the proprietary dataset of product attributes extracted by the vision model, which becomes more accurate as more shops use it","alternatives":"Staff training, printed brochures, and manual checkout. This differs by providing instant, AI-driven answers and self-service checkout on the customer's device","revenue":"Monthly subscription priced at 190 USD for small shops and 490 USD for larger stores based on product count and interaction volume","costs":"API costs for vision and language models, server hosting for the web app, and customer support","integrations":"Shopify for online store data, payment gateways for checkout","dependencies":"Browser camera access, on-device vision models, and language APIs","pilot":"Prove it by having a shop owner scan 50 products and track the number of customer questions answered and sales completed via the system compared to baseline.","plan30":"Week 1: Build the inventory scanner and data extraction module. Week 2: Develop the customer-facing web app with camera recognition. Week 3: Integrate the Q&A agent with the shop's product data. Week 4: Launch the pilot with one boutique.","metrics":"Number of products catalogued, number of customer interactions, and conversion rate of assisted sales","channels":"Direct outreach to boutique owners, social media marketing, and partnerships with retail software providers","leadMagnet":"A free demonstration of scanning your inventory and generating a customer-facing URL","message":"Turn your phone into a 24/7 salesperson for your shop","retention":"Earn recurring revenue through monthly subscriptions and increase value by adding more products and features over time","controls":"Limit the number of products per subscription tier, restrict access to the admin panel, and ensure the AI does not hallucinate product details not in the database","crossSector":"Sales; Hospitality and Events","fn":["Scan product labels with camera","Extract attributes from images and web data","Generate a customer-facing QR code","Identify products in real time via camera","Answer natural language questions about products","Generate payment links for checkout"],"sc":{"opp":7,"pain":5,"feas":9,"now":8},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case. Manual review in the loop.","time":{"days":2,"label":"2 days"},"usd":5000},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":3,"label":"3 days"},"usd":4000},{"name":"Full product","scope":"Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":5,"label":"5 days"},"usd":6000}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[60,120],"total":[90,180]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[530,1050],"total":[640,1260]}],"total":15000,"complexity":0,"days":10,"shot":true,"demo":true}