| 1 | Build a Tiered Spice-Level System | Offer five clearly named levels, such as Mild, Medium, Hot, Very Hot, and Extra Hot. Use visual icons and allow customers to change spice levels on repeat orders. | Spice-level selection rate | 5 levels; 80%+ of orders assigned a recorded spice level | Reduces ordering anxiety, improves first-visit satisfaction, and supports repeat purchasing. | 2–4 weeks | High |
| 2 | Localize the Menu Architecture | Keep core Sichuan-style ingredients while adding familiar local vegetables, proteins, dietary options, and clearly translated ingredient descriptions. | Menu localization ratio | 20–30% localized items; 70–80% core items | Balances authenticity with local accessibility and increases the size of the addressable customer base. | 4–8 weeks | High |
| 3 | Use Transparent Weight-Based Pricing | Display the price per 100 grams or per standard portion before customers begin selecting ingredients. Add a visible total-price estimate during ordering. | Average order value and price clarity | Price variance within ±10% of the displayed estimate | Limits bill shock, improves trust, and makes the format easier to compare with local quick-service restaurants. | 2–6 weeks | High |
| 4 | Create Localized Value Sets | Offer lunch sets, single-person bowls, family bundles, and student or office-worker combinations based on local dining habits. | Set-meal contribution to sales | 25–40% of transactions from defined meal sets | Shortens decision time, improves portion control, and increases weekday demand. | 3–6 weeks | High |
| 5 | Offer Dietary and Allergen Filters | Mark vegetarian, vegan, gluten-free, halal-compatible, dairy-free, nut-containing, and allergen-sensitive ingredients where applicable. Use separate preparation procedures when required. | Dietary-choice coverage | 100% of ingredients labeled; 3–5 dietary pathways available | Improves conversion among mixed groups and lowers avoidable service complaints. | 3–5 weeks | High |
| 6 | Adapt Portions to Local Eating Occasions | Test small, regular, and large portions for solo dining, sharing, takeaway, and delivery. Track leftovers and customer satisfaction by portion size. | Portion mix and food-waste rate | 3 portion sizes; target food waste below 5% of prepared food | Improves perceived value while protecting margins and reducing unnecessary waste. | 4–8 weeks | Medium |
| 7 | Design for Fast, Consistent Service | Standardize ingredient replenishment, queue flow, cooking batches, cashier instructions, and order handoff. Separate dine-in and delivery pickup where possible. | Service speed and order accuracy | Average service time under 8 minutes; order accuracy above 97% | Supports lunch traffic, reduces queue abandonment, and creates a more reliable customer experience. | 4–10 weeks | High |
| 8 | Use a Repeat-Visit Loyalty Program | Reward visits rather than only spending. Combine digital stamps, personalized spice preferences, birthday offers, and a reward after a realistic number of visits. | Customer retention and visit frequency | Target 60–70% repeat visits within a defined 90–180-day cohort window | Builds habitual usage and provides first-party data for menu and promotion decisions. | 4–8 weeks | High |
| 9 | Localize Digital Ordering and Content | Use local language, local currency, metric units, region-specific payment methods, accurate food photography, and short explanations of unfamiliar ingredients. | Digital conversion rate | Mobile ordering conversion target of 3–8%; menu load time under 3 seconds | Reduces friction for first-time buyers and improves conversion across delivery and click-and-collect channels. | 3–6 weeks | High |
| 10 | Run a Local Test-and-Learn Program | Test menu names, prices, spice labels, bundle sizes, promotions, and opening hours by neighborhood before rolling out changes across all locations. | Experiment velocity and gross-margin control | 2–4 controlled tests per month; maintain target food cost near 28–35% of sales | Reduces expansion risk, identifies local demand patterns, and protects unit economics. | Ongoing; review monthly | High |