
Visit Us @ Booth 4156
Planalytics will be sponsoring and exhibiting at NRF 2024 Retail’s Big Show on January 14 – January 16, 2024 in New York City.
If you would like more information about Planalytics, or to schedule a time to meet during the event, contact dfrieberg@planalytics.com.
To view additional NRF event information, Click Here.
Attend Our Big Ideas Session
Outside Influence: Dick’s Sporting Goods & FreshDirect boost performance with predictive weather-driven demand analytics
Tuesday, January 16 | 9:15-9:45 a.m. | Expo Level 3, Stage 5
Hear how FreshDirect and Dick’s Sporting Goods leverage weather-driven demand (WDD) analytics to “deliver” better customer experiences, and “score” more sales. The weather is always a big motivating force behind consumer buying decisions – directly, frequently, and meaningfully elevating or deflating demand for a product. WDD analytics enable retailers to optimize planning, inventories, operations, and digital marketing by proactively addressing a critical external influence on daily purchasing decisions. Learn how businesses increase sales and margins by operationalizing weather impact analytics in ML forecasts, installed solutions, and existing processes.
| Panelists |
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Joshua Niebler
Sr. Director, E-commerce Experience
Dick’s Sporting Goods |
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Aaron Cano
SVP, Analytics & Marketing Operations
FreshDirect |
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Scott Bernhardt
President
Planalytics |
Registration
To register for NRF 2024 please visit https://nrfbigshow.nrf.com/register
Individual All-Access Passes for retailers are now available at a discounted rate, providing access to all Keynotes, Featured Sessions, Exhibitor Big Ideas, Partner Perspective sessions, the Expo floor, and the Opening Party.
FREE (until 1/10/24) Retail Expo Passes are available to all qualifying retailers and allow access to the Expo and select sessions (Exhibitor Big Ideas sessions & Partner Perspective sessions) and the Opening Party and other networking opportunities.
Check Out Last Year’s Presentation

Client Panel Discussion:
H-E-B, Chipotle and Albertsons
Nailing demand forecasts: From machine learning to replenishment and everything in between.