Enrich

Sports

Data with Advanced AI

Sell out seats, staff the rush, and prove sponsor ROI—before the final buzzer.
Sports businesses move on moments.
NiftyBot prices tickets dynamically, forecasts concession crushes, and translates partnerships into credible reach and revenue. Your arena feels full and your partners feel smart.
Complexity: Medium
Concession Crush Forecast
Lines kill spend. This call forecasts hot dog and beverage demand by inning for a Yankees night game and suggests staffing. Fans move fast; carts stay stocked.
REQUEST

{ "source": { "team": "New York Yankees", "opponent": "Boston Red Sox", "first_pitch": "2025-06-21T19:05:00-04:00", "expected_attendance": 46200, "weather": "75°F clear" }, "requests": [ { "field_name": "units_forecast" }, { "field_name": "staffing_plan" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "units_forecast", "value": { "Innings 1–3": { "hot_dogs": 9800, "beverages": 14200 }, "Innings 4–6": { "hot_dogs": 6200, "beverages": 11700 }, "Innings 7–9": { "hot_dogs": 4100, "beverages": 8600 } }, "confidence": 0.81, "method": "calculation", "reasoning": "Night games with rivalry draw front-load sales; beverages remain strong through mid-innings." }, { "field_name": "staffing_plan", "value": "Open 100% stands pregame; add 6 roaming beer vendors through 6th; shift 20% staff to exit-adjacent carts in 8th.", "confidence": 0.78, "method": "reasoning", "reasoning": "Matches peak windows and late-game egress patterns." } ] }
Complexity: Medium
Dynamic Ticket Pricing
Right price, right section, right now. This call suggests new prices for select Chase Center sections vs. the Lakers and explains the demand math. Revenue climbs without empty seats.
REQUEST

{ "source": { "team": "Golden State Warriors", "opponent": "Los Angeles Lakers", "date": "2025-10-18", "sections": { "Lower Bowl 110": { "sell_through": 0.88 }, "Upper 220": { "sell_through": 0.61 } }, "days_to_game": 9, "secondary_market_heat": "High" }, "requests": [ { "field_name": "price_recommendations" }, { "field_name": "revenue_impact_pct", "field_type": "numeric" }, { "field_name": "note" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "price_recommendations", "value": { "Lower Bowl 110": "+7%", "Upper 220": "-6%" }, "confidence": 0.82, "method": "assessment", "reasoning": "Lower bowl near sell-out with high secondary heat; upper bowl needs price relief to accelerate velocity." }, { "field_name": "revenue_impact_pct", "value": 3.9, "confidence": 0.73, "method": "calculation", "reasoning": "Modeled from remaining inventory, elasticity by section, and days-to-game curve." }, { "field_name": "note", "value": "Revisit upper bowl in 48 hours; expect velocity pickup post-price change.", "confidence": 0.72, "method": "reasoning", "reasoning": "Mid-horizon check avoids overcorrecting ahead of last-minute surge." } ] }
Complexity: High
Sponsorship ROI Snapshot
Partners want proof they can take upstairs. This call estimates incremental reach and engagement from an Adidas kit campaign with Real Madrid and gives renewal talking points. It’s math your CMO can love.
REQUEST

{ "source": { "brand": "Adidas", "club": "Real Madrid", "activation": ["Kit reveal video", "Player IG reels", "Stadium LED takeovers"], "campaign_window_weeks": 6, "regions": ["EU", "LATAM", "APAC"] }, "requests": [ { "field_name": "incremental_reach_millions", "field_type": "numeric" }, { "field_name": "engagement_uplift_pct", "field_type": "numeric" }, { "field_name": "renewal_points" } ] }
RESPONSE

{ "enrichments": [ { "field_name": "incremental_reach_millions", "value": 2.3, "confidence": 0.7, "method": "estimation", "reasoning": "Based on prior kit drops’ cross-region overlap and short-form amplification." }, { "field_name": "engagement_uplift_pct", "value": 11.2, "confidence": 0.69, "method": "calculation", "reasoning": "Weighted average across reveal + player reels vs non-campaign baselines." }, { "field_name": "renewal_points", "value": ["Player-led reels outperformed brand posts by 21%", "LED takeovers lifted in-stadium social by 14%", "APAC short-form view-through exceeded EU by 9%"], "confidence": 0.73, "method": "reasoning", "reasoning": "Highlights the creative/region levers that actually moved the needle." } ] }