Enrich

QSR and Food Delivery

Data with Advanced AI

Turn foot traffic and tickets into a self-optimizing kitchen that never misses the rush.
Speed and freshness drive repeat orders.
NiftyBot forecasts demand by hour, sets fair promo prices, and schedules staff precisely from your POS and third-party delivery inputs. You serve faster while protecting margin.
Complexity: Medium
Delivery Promo Planner
Promos should move volume without nuking margin. This call predicts lift for a McDonald’s Uber Eats BOGO nuggets push and suggests copy and send time. Fewer blanket discounts; more targeted wins.
REQUEST

{ "source": { "brand": "McDonald's", "market": "Chicago", "platform": "Uber Eats", "offer": "BOGO 10pc McNuggets", "promo_window_days": 2 }, "requests": [ { "field_name": "order_lift_pct", "field_type": "numeric" }, { "field_name": "margin_impact_note" }, { "field_name": "push_copy" }, { "field_name": "send_time_hint" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "order_lift_pct", "value": 14.0, "confidence": 0.8, "method": "estimation", "reasoning": "Chicken category promos in large metros show mid-teens lift over two-day windows." }, { "field_name": "margin_impact_note", "value": "Bundle sides at checkout to offset discount; limit offer to off-peak hours.", "confidence": 0.76, "method": "reasoning", "reasoning": "Attachment rate and time windows protect contribution margin during spikes." }, { "field_name": "push_copy", "value": "Chicago, your nugget night is on — BOGO 10pc for 48 hours.", "confidence": 0.74, "method": "assessment", "reasoning": "City call-out + timebox improves open and conversion." }, { "field_name": "send_time_hint", "value": "First wave 11:00–11:30am CT; second wave 5:00–5:30pm CT.", "confidence": 0.73, "method": "assessment", "reasoning": "Lunch and dinner decision windows drive peak responsiveness." } ] }
Complexity: Medium
Mobile Order Staffing
Bar line or backlog — choose neither. This call forecasts Starbucks mobile orders by 15-minute block and recommends barista counts. Throughput stays high, CX stays calm.
REQUEST

{ "source": { "brand": "Starbucks", "store_id": "SEA-1stAve-102", "day": "Friday", "mobile_penetration_pct": 58, "downtown_events": ["Mariners day game"] }, "requests": [ { "field_name": "orders_per_15min_forecast" }, { "field_name": "recommended_staffing" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "orders_per_15min_forecast", "value": { "07:30": 52, "07:45": 55, "08:00": 61, "08:15": 59, "12:00": 44, "12:15": 46 }, "confidence": 0.81, "method": "calculation", "reasoning": "Weekday commuter spike plus game-day lunch bump drive dual peaks." }, { "field_name": "recommended_staffing", "value": "Peak 6 baristas (2 espresso, 2 cold bar, 1 brew, 1 runner) 7:30–8:30; 5 baristas 11:45–12:30; base 4 otherwise.", "confidence": 0.78, "method": "reasoning", "reasoning": "Stations balanced to mobile mix; runner reduces pickup congestion." } ] }
Complexity: Low
Price Elasticity
Small price moves can grow revenue. This call suggests the best price point for a burrito bowl and quantifies the likely revenue change. Operations sets pricing with eyes open.
REQUEST

{ "source": { "brand": "Chipotle", "market": "Los Angeles", "item": "Chicken Burrito Bowl", "current_price_usd": 10.85, "traffic_7d": 9200, "conv_rate": 0.027 }, "requests": [ { "field_name": "suggested_price_usd", "field_type": "numeric" }, { "field_name": "estimated_revenue_change" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "suggested_price_usd", "value": 10.49, "confidence": 0.8, "method": "estimation", "reasoning": "Quick-serve mains often show volume elasticity where a small drop increases units enough to lift revenue." }, { "field_name": "estimated_revenue_change", "value": "Expected +3 to +6 percent over 7 days if traffic mix holds.", "confidence": 0.73, "method": "calculation", "reasoning": "Derived from current traffic, CVR, and projected unit lift at the new price." } ] }