Personalization of prices and demand: the impact of recommendation systems on network margins
Abstract and keywords
Abstract (English):
The article examines how price and product range personalization affects the contribution margin of a retail chain. Three policies are compared based on controlled launches in 6 cities and 9 categories: mass promotions, personal recommendations at uniform prices, and recommendations with personal prices and "handrails". Personal recommendations increased the margin by 0.6-1.1 percentage points; adding personal prices — up to 1.4-2.1 percentage points with an unchanged discount budget and a decrease in the share of discounted orders by 12-18%. Taking into account the cost of slots and balances yielded an additional 0.4-0.6 percentage points; write-offs of perishable goods decreased by 8-12%, returns — by 0.3-0.6 percentage points. The effect is stable with a "fairness corridor" of ±5-7% and a limit on the frequency of personal offers. Conclusion: the economic result is achieved when algorithms are linked to operational constraints and are estimated by incremental profit.

Keywords:
price personalization, recommendation systems, contribution margin, demand management, substitution rules, price fairness, delivery slots, perishable goods, customer lifetime value, omnichannel retail
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References

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