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News/Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing
arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral

Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.09956v1 Announce Type: new Abstract: Pricing food products to balance profitability with consumer welfare is a central challenge for retailers. Dynamic pricing is widely used to maximize revenue, yet most pricing models optimize business objectives while overlooking consumer fairness. Thi

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Discussion
Mentioned models
05
  • 01
    Autoregressive Distributed Lag (ARDL)
  • 02
    Linear Programming (LP)
  • 03
    Simulated Annealing (SA)
  • 04
    ARIMA
  • 05
    SARIMA
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#pricing#fairness#forecasting#optimization

No replies yet. Be first.

Mentioned models
05
  • 01
    Autoregressive Distributed Lag (ARDL)
  • 02
    Linear Programming (LP)
  • 03
    Simulated Annealing (SA)
  • 04
    ARIMA
  • 05
    SARIMA
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#pricing#fairness#forecasting#optimization

Related coverage

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arxivFAD-SA-GRU: Enhancing Hate Speech Detection in Algerian Dialect Through Feature-Augmented Self-Attention GRU Networks7harxivRL Forgets! Towards Continual Policy Optimization7harxivLearnable Mixed Nash Equilibria are Collectively Rational7harxivOracle-Efficient Combinatorial Semi-Bandits7h
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Originally published on arxiv ↗
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