Hourglass Cafe

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⏳ 5-8m

👤 Walk-in Customer

📱 Ask Phone / Loyalty ➔

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🔍

Live Kitchen Display System (KDS)

Real-time live queue for Shastri Nagar barista station

Hourglass Cafe Online Order

⏳ Pickup Wait: 5-8 mins

Order ahead & pickup at C-42, Shastri Nagar (D-Block Road), Ghaziabad, U.P. | @the_hourglasscafe

⏳

👑 Customer Privileges

Join the Hourglass Loyalty Program

Get 50 Welcome Points instantly, 10% repeat customer discount, and milestone 10th-visit rewards!

🥐 Daily Fresh Bakes & Evening Flash Deals

Baked fresh daily at Shastri Nagar! Enjoy 20% off selected signature evening treats before closing.

🔥 Flash Specials Active

🔍

🛒

Your Order Bag

Hourglass Cafe Pickup

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Select items from the cafe menu on the left. Your order summary and total will update here in real time!

Subtotal ₹0.00

Estimated Wait Time ~10-15 mins

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📱 Mobile Number * (Required for SMS Invoice)

+91

📨 We'll send your Order # and digital invoice link via SMS

👤 Customer Name * (For Pickup Identification)

📝 Special Instructions / Sugar Level (Optional)

⏳ Advance Pickup Scheduled Slot (Cafe Opens 12:00 PM)

💳 Select Mode of Payment *

💳 Pay Online Now Instant Digital

UPI (GPay / PhonePe / Paytm), Debit/Credit Card, Amex

🏪 Pay at Counter on Pickup Pay on Handover

Pay Cash, UPI or Card to Samay at counter when picking up

📍 Pickup at Hourglass Cafe: C-42, Shastri Nagar (D-Block Road), Ghaziabad. Upon arrival, please tell your Order Number to Samay at the counter!

📊 Operational Analytics & Pattern Discovery

Recognizing what is being sold, when it is being sold, rush heatmaps & customer basket affinities

Total Revenue

₹0

0 Settled Orders

Average Order Value

₹0

Per ticket size

Weekend Rush Lift

+0%

Sat/Sun vs Weekdays

Customer Repeat Rate

VIP & enrolled retention

🧠 Algorithmic Pattern Discoveries & Operational Takeaways

⏰ When It Is Being Sold: Operational Dayparts & Rush Shifts

Breakdown of demand by shift: morning beverages, lunch comfort, evening snack surge, and late-night social dining.

📈 Hourly Sales Trajectory (08:00 - 23:00)

Hourly transaction distribution highlighting peak customer arrival windows

📅 Day-of-Week Rhythm

Revenue velocity comparison across Monday through Sunday

🏆 What Is Being Sold: Category Performance

Revenue contributions, items ordered, and peak consumption hours per category

Category	Revenue	Share	Top Selling Hero	Peak Hour

⚡ High-Velocity Products

Fastest selling menu items, estimated gross margins, and dominant ordering windows

Menu Item	Units	Revenue	Margin	Selling Window

🔗 Customer Basket Affinities (Frequently Bought Together)

Natural item pairings appearing in the same order — ideal for cashier cross-sell prompts and combos.

⛅ Weather-Correlated Sales Telemetry & Beverage Shifts

Cross-referencing POS drink trends with ambient temperature to predict iced vs. hot beverage surges

LIVE TELEMETRY ACTIVE

☀️

31°C · Sunny & Warm

Ghaziabad, UP (Hourglass Cafe C-42) · Humidity: 45%

Current Beverage Demand Split

74% Iced / Cold · 26% Hot

Simulate Ambient Weather Conditions:

📋 Station Prep Directive: Cold brew taps pressurized. Fill cold storage with 12L toned milk + 6L oat milk. Keep double ice bins replenished before the 12 PM peak.

☕ Barista Headcount & Shift Scheduling Guide

Calculated labor allocation to eliminate peak-rush bottlenecks without burning payroll during afternoon lulls

🕒 Hour-by-Hour Staffing & Ticket Size Dynamics

Hour Window	Orders	Revenue	Avg Ticket (AOV)	Rush Status	Recommended Baristas	Operational Focus

🧀 High-Margin Modifier & Add-On Performance

Tracking attachment rates of extra cheese, alternative oat milks, syrups, and espresso shots (averaging 84% gross margin)

Overall Attachment Rate

24%

1 in 4 orders contains add-on

Modifier Gross Margin

84%

High-profit bottom-line driver

Total Modifier Revenue

₹17,450

Pure upsell earnings

Barista Upsell Index

4.2 / 5.0

Cashier prompt compliance

Modifier / Add-On	Category	Price	Cost	Margin %	Units Sold	Revenue	Attachment Rate

📊 Product Mix (PMIX) & Menu Engineering Matrix

Classifying every menu item by Volume vs. Profit Margin to guide menu placement, bundling and pruning

🌟 STARS (High Profit, High Volume)

Heroes of the cafe. Maintain strict recipe consistency and hero placement.

🚜 PLOWHORSES (Low Profit, High Volume)

Customer favorites with tight margins. Re-engineer portions or pair with high-margin drinks.

🧩 PUZZLES (High Profit, Low Volume)

High-margin hidden gems. Train baristas to recommend or place on blackboard specials.

🐕 DOGS (Low Profit, Low Volume)

Consumes inventory space without financial return. Immediate candidates for removal.

🔗 Cashier Cross-Sell Prompt Scripts (Market Basket Affinity)

Statistically proven item pairings translated into natural verbal prompts for front-counter baristas

🥛 Perishable Ingredient Depletion: Theoretical vs. Actual Variance

Pinpointing silent profit leaks: milk pitcher over-pouring, espresso grinder dosage purging, and portion creep

EST. SHRINKAGE LOSS: ₹1,328 (4.8%)

Ingredient / Stock Item	Theoretical Usage	Actual Stock Depletion	Variance	Financial Impact	Root Cause / Operational Diagnosis

🗑️ Wastage & Spoilage Incident Log

Audit trail of curdled dairy, dropped pastries, remade coffees, and stale bakery items

Incident Date	Wasted Item	Quantity Discarded	Financial Loss	Reason / Operational Failure

💰 Cost of Goods Sold (COGS) & True Margin Breakdown

Granular ingredient + packaging cost breakdown against selling price to discover true margin per hero item

Menu Item	Selling Price	Raw Ingredients	Packaging (Cup/Lid/Bag)	Total COGS	Gross Profit	True Margin %

DATA-DRIVEN REWARD ARCHITECTURE

Spend-Based Point System Structured Around Cafe AOV

Rather than punch-card visits, customer reward thresholds are engineered just above average ticket size to drive incremental upsells.

Current Average Ticket (AOV)

₹176

STRATEGIC REWARD THRESHOLD

₹250 Spend (25 pts)

Set ₹74 above AOV to induce add-on behavior

UPSELL INCENTIVE GAP

+₹74 / Visit

Motivates adding a pastry or drink size upgrade

EARNED REWARD UNLOCK

Free Beverage or Cookie (₹80 Value)

High perceived value with low ingredient cost

👥 Customer Visit Frequency Segmentation & Targeted Playbooks

Segmenting regular guests into distinct behavioral profiles to trigger the right retention offers

🚨 Automated "Win-Back" Churn Alerts (Lapse Detection)

Identifies loyal guests who deviated from their normal visit frequency baseline before they churn to a competitor

LAPSE TRIGGER ACTIVE

🎯 Modifier-Driven Hyper-Personalization

Leveraging preference telemetry to deliver surgical promotions rather than generic blast emails

⚡

Beat the Afternoon Slump: 3X Loyalty Multiplier

Targeting Tuesday & Thursday 2:00 PM - 4:00 PM lull window to absorb labor costs

Automated POS Push at 1:30 PM: "Beat the 2 PM slump! Earn 3X Points on all Espresso & Frappes until 4 PM."

🧠 AI Temporal Intelligence & BI Engine AWS Database Integrated

Fine-tuned database AI model evaluating cafe operations, demand baselines, and BI tools for any given time

⚡ Enterprise AWS Architecture Pipeline: Separation of OLTP Operations & OLAP Analytics Hub

Pipeline Active

1. Amazon Aurora (OLTP) READ/WRITE

High-throughput, sub-10ms transactional engine. Manages counter billing, inventory decrements, and cashier authentication.

Endpoint: Aurora Serverless v2 • 3,650+ Active Records

2. AWS Zero-ETL Bridge CDC STREAM

Serverless storage replication. Automatically syncs commits from Aurora to Redshift in <10s without ETL pipelines or POS lag.

Integration: hourglass-pos-zero-etl • Zero Lag

3. Redshift ML & Iceberg OLAP & AI HUB

Analytics brain. Powers Apache Iceberg Time Travel queries, Redshift ML demand predictions, and SageMaker anomaly detection.

Models: cafe_demand_model (94.2% Acc) • S3 Iceberg Catalog

🧊

Apache Iceberg on S3 & Redshift Time-Travel Console

FOR SYSTEM_TIME AS OF

Query "how data looked at any particular point in time" with native Iceberg snapshot metadata without impacting Aurora OLTP performance.

Catalog: s3://hourglass-pos-analytics-866874944450/iceberg/

TARGET TABLE:

AS OF HISTORICAL MOMENT (IST):

LIMIT:

Quick Time Travel Presets:

            SELECT * FROM hourglass_dw.orders FOR SYSTEM_TIME AS OF TIMESTAMP '2026-09-15 18:00:00' LIMIT 50;
          
            Latency: ~12ms • Storage: S3 Iceberg Parquet

Snapshot Columns
Click "Execute Time Travel Query" or choose a preset to reconstruct historical data.

Reconstructed Snapshot State 0 records loaded

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Fine-Tuned AI: Redshift ML & SageMaker Operational Engine

CREATE MODEL SQL + SageMaker Anomaly

Machine learning models trained directly inside Redshift SQL. Integrates with SageMaker to detect real-time sales anomalies, forecast peak demand, and prescribe tactical combos.

Active Model: cafe_hourly_demand_model_v2

DAY OF WEEK:

TARGET HOUR:

Weekend Rush Mode

Predicted Hourly Demand

-- Orders

Baseline: -- ord/hr

Projected Gross Sales

₹0

Target AOV: ₹0

Model Confidence

94.2%

Redshift ML (AutoML)

SageMaker Anomaly Status

EVALUATING

Operational variance within threshold

☕ Register AI Barista Directive:

Evaluating real-time customer stream...

🎯 AI Recommended Dynamic Combos:

PRIME EVENING RUSH --

AI Operational State: Evaluating...

AI Health Score

Hour Target Pace

₹0 / 0 ord

⏳ Interactive Time-Travel Explorer: Inspect How The Cafe Should Be At Any Particular Hour

08:00 AM 11:00 PM 6:00 PM

☕ Barista Register Directive:

🎯 Prescribed Top Sellers (This Hour):

🍳 Kitchen Prep & Shift Focus:

PREDICTIVE DEMAND FORECASTER

Tomorrow's Forecast: -- Orders

Peak rush window: --

Projected Revenue

₹0

☕ Morning Shift Kitchen Prep List:

📊 BCG Menu Engineering Matrix

🌟 STARS (High Profit, High Volume)

🐴 PLOWHORSES (Low Profit, High Volume)

🧩 PUZZLES (High Profit, Low Volume)

🐶 DOGS (Low Profit, Low Volume)

🛒 Market Basket Analysis (Apriori Association)

Primary Item	Associated Item	Confidence	Lift Multiplier

👥 RFM Customer Segmentation Matrix

Customer	Phone	Segment	Recency	Visits	Spend	Action Recommendation

📜 Sales Ledger & Historical Reports Full Audit Trail

Query, filter, and audit past transactions (Active Cashier: Samay Kashyap)

From: To:

TOTAL PERIOD REVENUE

₹0

0 Orders

AVERAGE ORDER VALUE (AOV)

₹0

POS vs Online

DIGITAL PAYMENTS (UPI + CARD)

₹0

0% digital adoption

CASH REGISTER DRAWER

₹0

₹0 discounts applied

📅 Revenue Trajectory Over Selected Period

Ticket #	Date & Time (IST)	Cashier	Type	Customer	Items Ordered	Subtotal	Discount	Total (₹)	Payment	Action

Showing page 1 of 1

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Gemini & Antigravity AI Business Strategist Active Live Telemetry

Algorithmic intelligence & business decisions grounded in Hourglass Cafe's PostgreSQL sales database

📊 3-Month Executive Audit

Quarterly Financial Health

90-day gross revenue stands at ₹2,20,658 across 1,259 tickets (AOV: ₹175). Evening 4 PM–8:30 PM window produces 58% of daily turnover.

💡 Action: Set a ₹200 combo threshold to lift AOV by ₹25 per check.

🍽️ BCG Menu Actions

Stars vs Dogs Re-Engineering

Stars: Adraki Chai, Classic Cold Coffee, Vegilicious Sandwich.
Dogs: Sweet Corn Chat, Mint Sandwich.

⚡ Action: Reprice Dogs upward by 15% or bundle with high-margin iced beverages.

👥 Customer Personalization

RFM Churn Mitigation

Identified 8 high-value patrons approaching churn risk. Milestone 10th-visit reward ready for active regulars.

🎁 Action: Auto-apply ₹50 discount when regular customers reach visit #10.

💬 Ask AI Strategist (Samay Kashyap Terminal) Model: Google Gemini 1.5 Flash + Antigravity Engine

📦 Inventory Control & Predictive Forecasting

Real-time ingredient deduction on sale, empty-shelf alert automation & tomorrow/day-after replenishment forecasting

Tracked Ingredients

Across 15 categories

Empty Shelf / Critical

Immediate action needed

Low Stock Warnings

Below safety threshold

Healthy Stock

Ample runway

Auto-Deduct Engine

Active ✅

Real-time deduction on sale

Alert Notifications

Email trigger active

💡

Predictive Restock Intelligence: Forecasts tomorrow and day after tomorrow inventory requirements based on yesterday's actual consumption, day-before consumption, and 14-day sales history with weekend/weekday rush seasonality. Recommended reorder amounts ensure your client achieves a setup that they never run out of stock.

Ingredient Requirements & Runways

Ingredient	Category	Current Stock	Yesterday (T-1)	Day Before (T-2)	Today Left (T)	Tomorrow (T+1)	Day After (T+2)	Runway	Status	Rec. Restock	Action
Loading predictive forecast...

Item Code	Ingredient Name	Category	Current Stock	Low Warning Threshold	Empty Shelf Alert Point	Ideal Target Stock	Unit	Status	Actions
Loading stock inventory...

📑

Pre-Mapped Excel Two-Way Data Interchange: Export all cafe operations into structured tabs (Products, Inventory_Stock, Invoicing, Replenishment_Forecast). Make manual counts, recipe adjustments, or paste new supplier deliveries in Excel, and import the workbook back. The system validates all columns, tracks every change in the audit ledger, and automatically restocks ingredients.

📥

Export Master Excel File

Download a complete workbook containing 5 pre-mapped sheets: Products & BOM Recipes, Live Stock & Par Levels, Vendor Invoices, and 3-Day Forecast.

📤

Import & Synchronize File

Upload your updated Excel spreadsheet. The engine will inspect modified stock levels, update recipe quantities, and register any new vendor invoices.

📋

Pre-Mapped Columns & Schema

Tab 1 (Products): Prices, active menu items, and ingredient amounts per dish.
Tab 2 (Inventory): Physical stock count, par thresholds, cost per unit.
Tab 3 (Invoicing): Purchase invoices & goods received notes.

📁

Drag & Drop your Excel (.xlsx) file here, or click to browse

Supports full multi-tab workbooks with Products, Inventory Stock, and Invoicing

Vendor Invoicing & Restock History

Complete ledger of supplier purchases, purchase orders, and goods receipts recorded via Excel or manual entry.

Invoice #	Date	Supplier / Vendor	Ingredient	Quantity	Unit	Unit Cost (₹)	Total Cost (₹)	Payment Status	Notes
Loading supplier invoices...

Live Kitchen Display System (KDS)

Hourglass Cafe Online Order

Join the Hourglass Loyalty Program

Your Order Bag

📊 Operational Analytics & Pattern Discovery

🧠 Algorithmic Pattern Discoveries & Operational Takeaways

⏰ When It Is Being Sold: Operational Dayparts & Rush Shifts

📈 Hourly Sales Trajectory (08:00 - 23:00)

📅 Day-of-Week Rhythm

🏆 What Is Being Sold: Category Performance

⚡ High-Velocity Products

🔗 Customer Basket Affinities (Frequently Bought Together)

⛅ Weather-Correlated Sales Telemetry & Beverage Shifts

☕ Barista Headcount & Shift Scheduling Guide

🕒 Hour-by-Hour Staffing & Ticket Size Dynamics

🧀 High-Margin Modifier & Add-On Performance

📊 Product Mix (PMIX) & Menu Engineering Matrix

🌟 STARS (High Profit, High Volume)

🚜 PLOWHORSES (Low Profit, High Volume)

🧩 PUZZLES (High Profit, Low Volume)

🐕 DOGS (Low Profit, Low Volume)

🔗 Cashier Cross-Sell Prompt Scripts (Market Basket Affinity)

🥛 Perishable Ingredient Depletion: Theoretical vs. Actual Variance

🗑️ Wastage & Spoilage Incident Log

💰 Cost of Goods Sold (COGS) & True Margin Breakdown

Spend-Based Point System Structured Around Cafe AOV

👥 Customer Visit Frequency Segmentation & Targeted Playbooks

🚨 Automated "Win-Back" Churn Alerts (Lapse Detection)

🎯 Modifier-Driven Hyper-Personalization

Beat the Afternoon Slump: 3X Loyalty Multiplier

🧠 AI Temporal Intelligence & BI Engine AWS Database Integrated

Apache Iceberg on S3 & Redshift Time-Travel Console

Fine-Tuned AI: Redshift ML & SageMaker Operational Engine

AI Operational State: Evaluating...

Tomorrow's Forecast: -- Orders

☕ Morning Shift Kitchen Prep List:

📊 BCG Menu Engineering Matrix

🛒 Market Basket Analysis (Apriori Association)

👥 RFM Customer Segmentation Matrix

📜 Sales Ledger & Historical Reports Full Audit Trail

Gemini & Antigravity AI Business Strategist Active Live Telemetry

Quarterly Financial Health

Stars vs Dogs Re-Engineering

RFM Churn Mitigation

📦 Inventory Control & Predictive Forecasting

Ingredient Requirements & Runways

Export Master Excel File

Import & Synchronize File

Pre-Mapped Columns & Schema

File Analysis & Preview:

Stock Level & Cost Adjustments to be Applied:

Supplier Invoices to be Recorded & Restocked:

Vendor Invoicing & Restock History

⚙️ Inventory Automation & Alert Settings

🗑️ Kitchen Spoilage, Wastage & Daily Tasting Incident Log

Payment & Checkout

Customer Intake & Loyalty Identification

--

Mobile Number Not Registered

SMS Dispatched with Loyalty Details

Loyalty Profile Activated!

Pending Settlement (Pay After Served)

End of Shift Cash Drawer Reconciliation

80mm Thermal Receipt

👤 Switch Cashier / Shift Login

Hourglass Cafe Notice

The Cafe is Closed as of Now

Order Confirmed & Dispatched!

Online Pickups & Counter Handover Desk

➕ Restock Ingredient

🗑️ Log Kitchen Spoilage & Wastage

⚙️ Adjust Ingredient Settings

Ingredient

Excel Inventory Synchronization