Customer Price Sensitivity
The fear behind most pricing decisions is losing the guest entirely, so prices tend to move by the same small, cautious amount across the board, regardless of what any individual item can support. That approach treats every item on the menu the same, when in reality some items could absorb a real increase with barely a dip in orders, while others are already priced at the edge of what guests will pay.
Strela analyzes transactional data to identify which menu items can support a price increase without hurting customer demand.
Service Areas
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Transaction-level demand analysis by item. Order-level data gets reviewed item by item to understand how demand behaves under real conditions, not just how much each item sells in total.
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Price elasticity assessment for candidate items. Items get evaluated for how sensitive their demand is to a price change, surfacing which ones have real room to move.
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Identification of items that can absorb an increase safely. Specific items get flagged as strong candidates for a price increase based on their demand pattern, not a guess.
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Identification of items where price is already at its ceiling. Just as important, items already priced at the edge of what the market will bear get flagged so they're left alone.
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Recommended increase amounts with projected margin impact. Recommendations come with a specific number and a projection of what that change means for margin.
The Outcome
Price increases placed exactly where the data says the market will bear them, protecting both margin and traffic. Instead of an across-the-board bump that risks pushing guests away from items that were already priced correctly, increases land only where they'll be absorbed, and margin grows without the anxiety of guessing where the line sits.