Case 01North Indian cart · Tech-park gate.
Metro tier · 12 months live · Format 02 · North Indian
The setup
Cart positioned 80 metres from the main gate of a 4,000-seat tech park. Operator recruited locally, two-week onboarding. Menu skewed toward chole-bhature, paratha-sabzi combos and quick-prep thali for lunch-hour throughput.
What worked
Predictable lunch-hour pull from office crowd, repeat customers within first month, very strong delivery-app pickup once the Grilzo POS routed orders through partner platforms. Operator hit ₹4K daily run-rate by Month 2 and held it consistently.
Case 02Burgers & Sandwich · College-strip.
Tier-2 city · 10 months live · Format 07 · Burgers
The setup
Cart placed on a 600-metre college strip with multiple coaching institutes and a hostel cluster. Evening operating window only — opens at 4 PM, closes by 11 PM. Single operator plus weekend helper.
What worked
Concentrated evening demand, strong weekend uplift, viral momentum on student social channels after first month. Friday and Saturday peak days regularly cross ₹6K. Format chosen because of price-point fit with student wallets — burger AOV of ~₹110.
Case 03South Indian cart · Residential lane.
Metro tier · 14 months live · Format 01 · South Indian
The setup & pattern
Twin-window cart serving morning breakfast and evening tiffin in a dense residential lane with ~3,500 households inside a 600-metre radius. Repeat customer base built up steadily over months 1–4, then plateaued at a strong, consistent run-rate.
The takeaway
Residential pockets win on consistency rather than peaks — daily sales rarely top ₹6K but almost never dip below ₹2.5K. Low variance, predictable monthly numbers, ideal for a distributor's stable-base portfolio.
Case 04Momos & Dim Sum · Local market.
Tier-2 city · 8 months live · Format 09 · Momos
The setup & pattern
Cart placed inside a busy 200-shop neighbourhood market. Daily shopper inflow plus weekend market-day traffic. Steamed and pan-fried variants drive volume; pricing tuned to fit the market's middle-income shopper profile. Weekend uplift typically adds 25–35% over weekday averages.
The takeaway
Markets reward formats with high transaction count rather than high AOV. Momos at ₹50–₹140 fits the wallet perfectly.
Section 05What the 50+ carts show.
Six patterns emerge across the network — these are the things that consistently predict cart performance.
Pattern 01 · Format-location fit > brand alone
The single biggest predictor of cart performance is matching the right format to the right micro-market. The 12-format catalog exists precisely for this reason.
Pattern 02 · Month-2 stabilisation
Most carts hit a stable run-rate by the end of Month 2. Earlier underperformance is usually a location or operator issue — both fixable through standard ops review.
Pattern 03 · App-driven uplift
Carts that integrate cleanly with the Grilzo POS and delivery routing typically see a 15–25% lift over walk-by-only operation within the first quarter.
Pattern 04 · Weekend skew
Markets and entertainment-zone carts show 20–35% weekend uplift. Office-cluster carts are the inverse — flat weekday-driven curves with minimal weekend pull.
Pattern 05 · Operator quality compounds
The same cart, same location, same format can vary 30–40% in revenue based on operator discipline. Hiring & retention is a real lever, not a footnote.
Pattern 06 · Cluster effect
2–3 carts within a 1.5 km radius reinforce each other through brand visibility and shared operations — often outperforming an equivalent isolated cart elsewhere.
The cart-level numbers in this document are indicative, not promised. What the 50+ carts do show is that the Grilzo model is reproducible — formats work, ramp curves are predictable, and the operating playbook scales. Your job as distributor: pick the right formats for the right micro-markets, deploy operators who care, and let the network compound.
Visit a live cart in NCR.
We arrange supervised cart visits — see the operations, talk to the operator, look at the dashboard.