Pricing & Elasticity
What is dynamic pricing in restaurants?
At Quantiiv, dynamic pricing means setting the optimal price for every store-product combination based on customers' maximum willingness to pay. The price can be revisited as new evidence changes that estimate, but it does not move minute by minute or rise when demand spikes. We do not advocate Uber-style surge pricing, demand-based increases, daypart pricing outside a transparent program such as happy hour, or different prices across a brand's owned channels. Third-party delivery marketplaces are the exception: brands may charge more there to offset commissions and other channel-specific costs.
The unit of optimization is one product at one store. Each store-product combination has its own elasticity, customer mix, competitive context, and role in the basket. Measuring those differences produces a specific base price for each combination, designed to capture available pricing power without creating unnecessary volume, frequency, or traffic loss.
Dynamic describes an always-learning pricing model, not a constantly changing menu board. Recommendations can update as customer behavior provides better evidence, while the customer-facing price remains stable until the brand makes a deliberate price-file change. A busy lunch, a high-demand weekend, or choosing drive-thru instead of the brand's own online ordering is not a reason to charge more.
Third-party delivery platforms are treated separately from owned channels because they carry commissions and other incremental costs. A consistent marketplace markup can protect restaurant economics; that is different from changing prices in response to short-term demand or charging customers differently between drive-thru, counter, and owned digital ordering.
Happy hour is the narrow daypart exception because it is a transparent, established value program that customers understand before they order. It is not surge pricing: the schedule and offer are clear, consistent, and designed as a benefit rather than a penalty for arriving when demand is high.
Why it matters
Store-product optimization captures pricing power while keeping prices stable, explainable, and fair to customers. It gives operators precision without the customer-perception risk of surge pricing or the operational complexity of maintaining different prices by minute, daypart, demand level, or owned channel. Third-party delivery pricing can still account for the distinct cost of serving that channel.
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