Upgrade to Pro — share decks privately, control downloads, hide ads and more …

From the Store to Your Door

A2f2287b6054926438eb65f8726cc77d?s=47 Andrew Kane
October 15, 2014
Programming
1
2.5k

From the Store to Your Door

An inside look at logistics at Instacart

A2f2287b6054926438eb65f8726cc77d?s=128

Andrew Kane

October 15, 2014
Tweet

More Decks by Andrew Kane

See All by Andrew Kane
A2f2287b6054926438eb65f8726cc77d?s=48 ankane
0
2.6k
A2f2287b6054926438eb65f8726cc77d?s=48 ankane
1
2.7k

Other Decks in Programming

See All in Programming
1d42b38276c3d2c7cc931fa444c13488?s=48 nasum
19
7.2k
Af64bc38c0ffcfcabdf430759ee491ce?s=48 lovee
3
180
7437b838338581b08ca72340b05475b9?s=48 abt
1
270
7437b838338581b08ca72340b05475b9?s=48 abt
0
230
82aa6e293e94bf37796f4ae50f583f6c?s=48 veronikapj
2
130
C53a4a07191668addb0f406ceac16f41?s=48 sungkukshawnpark
0
670
Bd7bd8f154dbbbdc40af37d59baec53b?s=48 marushosummers
0
760
4578d99b560b2a470e05288ef6766ac2?s=48 paulk
5
2.1k
9e64d2069945742c818421e884603b44?s=48 ushisantoasobu
1
280
15934fa2aa7b2ce21f091e9b7cffa856?s=48 manfredsteyer
PRO
0
230
0abc75d0ead1b1300178fad993308c67?s=48 motchy1204
0
140
7e0087a19318ded4ba2203187694740f?s=48 christianweyer
PRO
0
110

Featured

See All Featured
8ec1383b240b5ba15ffb9743fceb3c0e?s=48 philnash
20
910
48c098b6579220a67a6ba949be6e4b5a?s=48 revolveconf
203
9.9k
7cbd3f5f922d798cc312eaf596de7ae6?s=48 iamctodd
28
2.6k
Ef32e0b1ac5082450dc8c1fca3a26b5c?s=48 cherdarchuk
77
270k
9cde37f47e4a800ea081ea42de8d749a?s=48 dougneiner
56
5.5k
F716e5f737fcfb03f2cf8d1a184f1dbe?s=48 nonsquared
83
3.6k
56c4053438af8e8b90d6f53cbb7573be?s=48 jakevdp
777
200k
C44e1f7e22c3f23cff7bc130871047ef?s=48 eileencodes
117
26k
170b760e0147792d0140e59ec78e9893?s=48 eitanlees
118
10k
64827b31aef81498662e8af4bd6d5157?s=48 jonrohan
1020
400k
Bfd6b681ec6e8c9bef82ff0521c364f7?s=48 kastner
55
2k
88bc30284c6a424b63a92aad27d0ba36?s=48 jnunemaker
PRO
43
4.8k

Transcript

  1. Fro th Stor t Your Door

  2. Same Day Grocery Delivery

  3. 12 minutes— — —

  4. 15 cities 40 stores 22 people

  5. github.com/ankane

  6. None
  7. None

  8. [avocado]

  9. None

  10. Review

  11. $$ checkout

  12. Live

  13. None

  14. Tell me more

  15. “All models are wrong, but some are useful”

  16. Actions Location Transactions Dat

  17. [modeling example] Trip Id # of Items Hour of Day

    Total Time (min) 1 12 8 30 2 45 10 41 3 18 17 35 4 6 23 ???

  18. def total_time 30.minutes end

  19. Measur

  20. Measur Over Time

  21. 25 50 75 100 April May June July

  22. <%= line_chart data %>

  23. Pie charts cool?

  24. Pie charts cool? 100% No

  25. Now what?

  26. Operation Researc

  27. Shopper Store Time Decisio Variable

  28. Alcohol # of Items Constraint

  29. Min Lateness Min Shopper Hours Objectiv Functio

  30. None

  31. Hours

  32. seconds

  33. Measur Over Time

  34. Question ?