Copper Chimney targets 100-plus restaurants by 2033

Copper Chimney is planning its next growth phase around new-market entry, denser metro coverage and expansion into tier 2 and tier 3 cities, supported by technology, backend integration and people investments.

— Source publishedThu, 27 Aug, 2026, 10:00 IST·First seen Thu, 27 Aug, 2026, 10:19 IST·Source ET Hospitality

What happened

Copper Chimney plans to grow to more than 100 restaurants by 2033 through new-market entry, metro-city densification, technology and backend integration, people

Key facts

  • 100+ restaurants
  • 2033
  • tier 2 and tier 3 markets

Why this matters

Copper Chimney’s push into new markets and denser metro coverage could create partnership opportunities in real estate, delivery, technology and regional supply infrastructure.

What to watch

  • Announcement of an annual opening cadence or a detailed city-by-city pipeline.
  • Franchise, master-franchise, hotel or airport partnership disclosures.
  • Evidence of backend investment in commissaries, procurement, ERP, CRM, loyalty or workforce technology.
  • Entry into tier 2 and tier 3 cities, especially through clustered launches rather than single units.
  • Same-store sales, outlet-level margins, delivery mix and average check trends as the network expands.
  • Senior hiring across operations, real estate, training, supply chain and franchise management.
  • Competitor expansion by premium Indian dining chains that increases demand for prime sites and trained staff.
  • Prioritize city clusters rather than isolated openings, adding multiple outlets in Delhi NCR, Mumbai, Bengaluru, Hyderabad, Pune and high-income tier 2 markets.
  • Expand into travel, hospitality and retail-led locations where established footfall can reduce customer-acquisition costs.
  • Invest in centralized supply, kitchen standardization, labor training, loyalty and delivery integration to support a larger network.
  • Test format variations such as smaller express outlets, food-court formats, delivery kitchens or managed hotel restaurants.
  • Use new-store performance data to refine menu localization, price architecture and catchment-specific operating models.