HUL raises capex target to 3% of sales as AI-led quick commerce drives premium push

Hindustan Unilever is sharpening its New India strategy around premiumisation, beauty and AI-enabled quick-commerce fulfilment. The company targets 500 bps in operational savings and will direct more than 85% of its increased capex budget to growth capacity and productivity.

— Source publishedTue, 8 Sept, 2026, 09:00 IST·First seen Tue, 8 Sept, 2026, 09:22 IST·Source NDTV Profit

What happened

Hindustan Unilever Ltd. (HUL) · HUL outlined its New India strategy, prioritising premiumisation, market development, AI-enabled quick-commerce fulfillment and

Key facts

  • 40-40-20 growth matrix
  • CPI near 5%
  • 10-to-15-minute quick-commerce delivery
  • premium soap bars growing at double the velocity of mass-market counterparts
  • power spenders expanding at a 30x index versus mass buyers
  • 500 basis points of operational savings targeted
  • capex target raised from 2% to 3% of sales
  • more than 85% of capex allocated to growth capacity and productivity

Why this matters

HUL’s New India agenda makes AI logistics, quick-commerce capabilities and premium beauty assets more strategically valuable partnership or acquisition targets.

What to watch

  • Quick-commerce GMV growth and HUL's digital/quick-commerce sales contribution.
  • Premium portfolio volume growth versus mass-category volumes.
  • Gross-margin movement, promotional intensity and platform commission or trade-spend trends.
  • Evidence of the 500 bps savings programme in employee, supply-chain and overhead costs.
  • Capex allocation between manufacturing capacity, automation, data/AI and fulfilment infrastructure.
  • Out-of-stock rates, delivery-fill rates and SKU availability in top metro dark-store networks.
  • Competitive premium launches and quick-commerce investments by P&G, L'Oréal, ITC, Dabur, Marico and private labels.
  • Prioritise premium, high-repeat SKUs in beauty, skincare, foods and home care for quick-commerce-exclusive assortments and smaller-format packs.
  • Deploy AI across demand forecasting, dark-store replenishment, assortment allocation and promotional optimisation.
  • Redirect savings from legacy supply-chain complexity, low-velocity SKUs and manual back-office processes into growth capacity and digital execution.
  • Expand retailer and platform data-sharing partnerships while protecting direct consumer insight through loyalty, sampling and brand-owned digital channels.
  • Use regional micro-fulfilment and differentiated inventory pools to reduce stock-outs in top urban clusters.