As temperatures rise and seasonal demand peaks, a new research report from Sciative Solutions shows how AI-powered dynamic pricing is impacting the FMCG and quick commerce sectors in India. The data indicates a 50% increase in FMCG product assortment, with packaged food and cold drinks seeing an 80% rise in listed products from pre-summer to peak summer.
This growth reflects changing consumer habits due to rising temperatures, school vacations, outdoor activities, and more social gatherings. Consumers are opting for ready-to-consume, light, and refreshing items, boosting demand for cold beverages, snacks, juices, and packaged foods.
AI keeps brands ahead of the curve
“AI is enabling brands to not just respond, but proactively lead in rapidly evolving market conditions,” said Vijeta Soni, Co-founder & CEO, Sciative Solutions. “With over one lakh SKUs and 500+ pincodes to manage, real-time, AI-driven pricing and inventory decisions are essential to stay competitive and relevant, especially during high-demand periods like summer.”
Hyperlocal pricing becomes a game changer
The report also highlights the growing influence of hyperlocal pricing strategies, with over 60% of products showing price variations across different pincodes, and 30% of products experiencing price changes within a single day. Categories like ice cream, frozen food, and dairy were the most affected—reflecting high perishability, logistical sensitivity, and fluctuating local demand.
“We are witnessing the arrival of precision commerce at scale,” said Anshu Jalora, Founder & Managing Director, Sciative Solutions. “AI is not just helping brands handle the complexity—it’s turning that complexity into a competitive advantage through smarter, real-time decisions that align perfectly with consumer behaviour, stock dynamics, and regional demand.”
Key insights from the report
- 30% of brands launched or scaled up their presence on quick commerce platforms during the summer period, capitalizing on the surge in demand.
- Frozen foods and cold drinks & juices recorded up to 16% and 15% price increases, respectively, driven by cold chain complexity and consumer willingness to pay more for convenience.
- Price hikes correlated directly with stockouts, as categories with frequent out-of-stock (OOS) instances were also those that saw the steepest price increases.
- Real-time competitor monitoring revealed frequent price fluctuations across platforms, underlining the importance of responsive pricing strategies.
Kombucha case study: premium without discounting
A standout case in the report is Kombucha, a niche, health-oriented beverage that saw 150% growth in product listings without relying on discount-led entry. Instead, brands used AI to identify wellness-focused consumers and sustain a premium pricing model, bucking the conventional penetration strategy.
AI is now a strategic necessity
With seasonality, weather, and regional buying patterns becoming critical pricing factors, the report concludes that AI is no longer a technological enhancement; it’s a strategic necessity for any FMCG brand operating in India’s fast-moving digital retail ecosystem.
