• >
  • >
  • >
  • >
  • >

Case Studies.

Add Case Study

Our Case Study database tracks 22,657 case studies in the global enterprise technology ecosystem.
Filters allow you to explore case studies quickly and efficiently.

Download Excel
Filters
  • (6,653)
    • (2,601)
    • (2,127)
    • (945)
    • (676)
    • (312)
    • (229)
    • (194)
    • (163)
    • (141)
    • (135)
    • (114)
    • (100)
    • (53)
    • (28)
    • (2)
    • View all
  • (5,642)
    • (2,469)
    • (1,692)
    • (826)
    • (497)
    • (441)
    • (353)
    • (84)
    • (1)
    • View all
  • (5,571)
    • (2,178)
    • (1,766)
    • (643)
    • (425)
    • (422)
    • (416)
    • (291)
    • (225)
    • (213)
    • (213)
    • (48)
    • (8)
    • (8)
    • (7)
    • (1)
    • View all
  • (5,247)
    • (2,179)
    • (1,715)
    • (1,321)
    • (250)
    • (10)
    • View all
  • (2,881)
    • (1,448)
    • (574)
    • (376)
    • (210)
    • (183)
    • (174)
    • (158)
    • (154)
    • (152)
    • (80)
    • View all
  • View all 15 Technologies
  • (1,985)
  • (1,985)
  • (1,915)
  • (1,679)
  • (1,629)
  • (1,613)
  • (1,446)
  • (1,247)
  • (1,221)
  • (1,179)
  • (1,156)
  • (1,097)
  • (1,075)
  • (979)
  • (847)
  • (824)
  • (735)
  • (608)
  • (593)
  • (493)
  • (482)
  • (387)
  • (343)
  • (342)
  • (340)
  • (271)
  • (247)
  • (211)
  • (203)
  • (201)
  • (181)
  • (179)
  • (148)
  • (142)
  • (117)
  • (87)
  • (83)
  • (71)
  • (65)
  • (58)
  • (24)
  • (9)
  • View all 42 Industries
  • (8,728)
  • (4,742)
  • (3,618)
  • (3,233)
  • (2,947)
  • (1,692)
  • (1,498)
  • (1,332)
  • (1,315)
  • (1,032)
  • (892)
  • (362)
  • (337)
  • View all 13 Functional Areas
  • (3,304)
  • (2,787)
  • (2,603)
  • (2,006)
  • (1,630)
  • (1,625)
  • (1,561)
  • (1,369)
  • (1,043)
  • (732)
  • (725)
  • (711)
  • (690)
  • (647)
  • (601)
  • (574)
  • (521)
  • (486)
  • (472)
  • (470)
  • (434)
  • (416)
  • (410)
  • (364)
  • (356)
  • (352)
  • (340)
  • (315)
  • (305)
  • (302)
  • (271)
  • (257)
  • (252)
  • (242)
  • (237)
  • (235)
  • (229)
  • (229)
  • (222)
  • (214)
  • (188)
  • (183)
  • (176)
  • (167)
  • (147)
  • (145)
  • (143)
  • (142)
  • (142)
  • (139)
  • (137)
  • (133)
  • (130)
  • (121)
  • (120)
  • (119)
  • (119)
  • (119)
  • (115)
  • (105)
  • (99)
  • (98)
  • (96)
  • (96)
  • (91)
  • (90)
  • (86)
  • (85)
  • (84)
  • (83)
  • (81)
  • (80)
  • (69)
  • (67)
  • (65)
  • (62)
  • (62)
  • (61)
  • (58)
  • (58)
  • (55)
  • (53)
  • (53)
  • (50)
  • (49)
  • (48)
  • (44)
  • (41)
  • (40)
  • (40)
  • (38)
  • (37)
  • (33)
  • (33)
  • (31)
  • (29)
  • (29)
  • (28)
  • (27)
  • (23)
  • (22)
  • (22)
  • (19)
  • (19)
  • (18)
  • (18)
  • (17)
  • (17)
  • (17)
  • (17)
  • (15)
  • (13)
  • (12)
  • (12)
  • (12)
  • (11)
  • (11)
  • (8)
  • (6)
  • (5)
  • (4)
  • (4)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • View all 129 Use Cases
  • (13,581)
  • (5,296)
  • (4,272)
  • (3,520)
  • (2,856)
  • (1,288)
  • (1,239)
  • (360)
  • (10)
  • View all 9 Services
  • (504)
  • (432)
  • (416)
  • (382)
  • (301)
  • (291)
  • (246)
  • (240)
  • (222)
  • (218)
  • (211)
  • (204)
  • (180)
  • (167)
  • (143)
  • (139)
  • (132)
  • (131)
  • (121)
  • (116)
  • (115)
  • (113)
  • (112)
  • (109)
  • (107)
  • (107)
  • (107)
  • (104)
  • (92)
  • (91)
  • (89)
  • (88)
  • (86)
  • (85)
  • (85)
  • (84)
  • (80)
  • (78)
  • (77)
  • (75)
  • (75)
  • (73)
  • (72)
  • (72)
  • (72)
  • (69)
  • (69)
  • (68)
  • (67)
  • (67)
  • (67)
  • (65)
  • (65)
  • (64)
  • (64)
  • (62)
  • (60)
  • (58)
  • (58)
  • (56)
  • (55)
  • (55)
  • (54)
  • (54)
  • (54)
  • (53)
  • (53)
  • (53)
  • (53)
  • (53)
  • (52)
  • (52)
  • (52)
  • (52)
  • (51)
  • (51)
  • (51)
  • (50)
  • (50)
  • (48)
  • (48)
  • (47)
  • (47)
  • (46)
  • (46)
  • (46)
  • (45)
  • (43)
  • (43)
  • (43)
  • (42)
  • (42)
  • (41)
  • (41)
  • (40)
  • (40)
  • (40)
  • (40)
  • (39)
  • (38)
  • (38)
  • (37)
  • (36)
  • (36)
  • (35)
  • (35)
  • (34)
  • (33)
  • (33)
  • (32)
  • (32)
  • (32)
  • (32)
  • (32)
  • (32)
  • (31)
  • (31)
  • (31)
  • (31)
  • (31)
  • (31)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (29)
  • (29)
  • (29)
  • (28)
  • (28)
  • (28)
  • (28)
  • (27)
  • (27)
  • (27)
  • (26)
  • (26)
  • (26)
  • (26)
  • (25)
  • (25)
  • (25)
  • (25)
  • (25)
  • (25)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (23)
  • (23)
  • (23)
  • (23)
  • (23)
  • (23)
  • (22)
  • (22)
  • (22)
  • (21)
  • (21)
  • (21)
  • (21)
  • (21)
  • (20)
  • (20)
  • (20)
  • (20)
  • (20)
  • (19)
  • (19)
  • (19)
  • (19)
  • (19)
  • (19)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • View all 1083 Suppliers
Selected Filters
22,657 case studies
Sort by:
Bethesda Country Club Enhances Operations and Budgeting with IoT Solution - Brightly Software Industrial IoT Case Study
Bethesda Country Club Enhances Operations and Budgeting with IoT Solution
Bethesda Country Club, a full-service family-oriented facility, was facing challenges in managing its large facilities and grounds. The club's existing solution was not able to keep up with their needs, particularly in terms of asset tracking and reporting. The operations team needed a solution that could not only track orders but also help them prepare for the future. The club was outgrowing their current facility management platform and were just starting to track their assets. They needed a more robust and technologically modern solution to track their employees’ jobs, and the club also wanted to be able to track the history of their assets to make better decisions about repairs and maintenance outside of their current Excel spreadsheet. Furthermore, they lacked a way to quickly and easily create a report for their Board of Governors that contained realistic data for future budget planning.
Download PDF
Bonner General Health Enhances Operational Efficiency with TheWorxHub - Brightly Software Industrial IoT Case Study
Bonner General Health Enhances Operational Efficiency with TheWorxHub
Bonner General Health, a healthcare provider serving a community of 8,000, was struggling with a paper-based work order system that was difficult to manage and track. The system was causing accountability issues, with hospital staff claiming that work requests were submitted but not acted upon. The maintenance team, consisting of five full-time staff and three custodians, had to deal with a backlog of paper work orders dating back to 1998. The team's daily work involved maintaining utilities, fixing drywall, painting, and repairing assets across the hospital, physical therapy rehabilitation center, immediate care center, and office building. The challenge was to transition from this inefficient paper-based system to a more streamlined, digital solution that could enhance accountability and improve tracking of work orders.
Download PDF
Salling Group's Energy Savings through AI: A Case Study - Ento Industrial IoT Case Study
Salling Group's Energy Savings through AI: A Case Study
Salling Group, a Danish retail giant, was faced with the challenge of reducing its energy consumption and costs. The company had an ambitious climate plan that included investments of approximately EUR 330 million over the next few years in equipment like heat pumps and solar. However, the rising energy prices necessitated more immediate action. The most significant gains could be achieved by optimising building operations, a task that required a solution that could be implemented immediately without any large up-front investments. The solution also needed to be applicable to all major building owners and be able to work with available energy consumption data.
Download PDF
8Farm Enhances Production by Over 40% with Farmio's IoT Solution - ForFarming Industrial IoT Case Study
8Farm Enhances Production by Over 40% with Farmio's IoT Solution
8Farm, an indoor farming company, was facing challenges in maintaining consistent yield and quality of their crops. The company, which grows fresh herbs in a 45 m2 area using 8 flood & drain type grow towers, was struggling with timer failures and insufficient moisture control. These issues led to problems such as leaf blackening, wilting, and non-growth in its products. The annual average harvest was around 700 kg, and sometimes, the harvested crops were not sold due to poor quality. The company was in need of a solution that could better control the growing conditions to increase yield and quality and to ensure consistent harvests.
Download PDF
Transforming Asbestos Assessment & Control with Fergus Platform - Fergus Industrial IoT Case Study
Transforming Asbestos Assessment & Control with Fergus Platform
Asbestos Assessment & Control, a leading provider of asbestos survey and management solutions, faced significant challenges in managing information and communication among their team members. With multiple members handling various aspects of the business, ensuring that everyone had access to the right information was often cumbersome. The company was also struggling with time-consuming administrative tasks such as invoicing and reporting. The manual creation of spreadsheets for management reports was not only time-consuming but also prone to errors. The need for a solution that could centralize information, streamline processes, and reduce administrative burden was evident.
Download PDF
Transforming J.T. Carter Plumbers with IoT: A Case Study - Fergus Industrial IoT Case Study
Transforming J.T. Carter Plumbers with IoT: A Case Study
When Duncan Leask and Peter Carter took over J.T. Carter Plumbers in 2013, they faced significant challenges. The company, one of the largest plumbing businesses in the Waikato region of New Zealand, was struggling with poor cash flow and underpricing its services. The business was primarily paper-based, which was inefficient and time-consuming. Despite Duncan's skills as a tradesman, he lacked the necessary experience in running a business. The company was juggling up to 600 jobs per month, which was a daunting task without the right organizational tools. The challenge was to transform the business, improve cash flow, increase pricing to profitable levels, and manage the high volume of jobs efficiently.
Download PDF
Fairphone Optimizes Supply Chain and Offsets Carbon Emissions with Flexport - Flexport Industrial IoT Case Study
Fairphone Optimizes Supply Chain and Offsets Carbon Emissions with Flexport
Fairphone, a social enterprise that designs, produces, and sells smartphones built from sustainably sourced materials and fair labor practices, faced several challenges in its supply chain. The company needed a logistics partner that could provide visibility across its entire supply chain, help offset CO2 emissions to meet its sustainability goals, and provide a specialized team to manage shipments at every step. Prior to partnering with Flexport, Fairphone was dealing with stock shortages and lack of visibility of shipments from the moment of factory pickup. The supply chain team was spending a significant amount of time sourcing vital information about shipments, causing major product launches to be fraught with worry about stock availability and timely arrival.
Download PDF
Navigating the Post-Pandemic Freight and Shipping Landscape: A Case Study - Freightos Industrial IoT Case Study
Navigating the Post-Pandemic Freight and Shipping Landscape: A Case Study
The global logistics industry has faced significant disruption since the onset of the COVID-19 pandemic, with inflationary pressures, trade pattern shifts, and elevated logistics costs. Ocean freight prices, particularly China-West Coast US rates, have seen a downward trend, reaching pre-pandemic levels. The volumes of imported containers to the US saw a decline through November 2022, and congestion at key ports like LA/Long Beach significantly eased. However, the rates for shipping a 40-ft container from Asia to the US West Coast have dropped by over 80% since the end of April 2022, and prices to the East Coast have fallen by almost two-thirds. This decline in logistics costs is primarily due to a reduction in consumer spending, which has impacted sales among many importers over the last two years. Furthermore, labor disputes and contract negotiations among port worker unions have added to the complexities of the situation.
Download PDF
Leveraging Location Intelligence to Combat Global Littering: A Case Study on Philip Morris International - CARTO Industrial IoT Case Study
Leveraging Location Intelligence to Combat Global Littering: A Case Study on Philip Morris International
Philip Morris International, a leading international tobacco company, is faced with the challenge of cigarette butts being the most littered item in the world, with 4.5 trillion discarded each year. As part of their global initiative 'Our World Is Not an Ashtray', they aim to increase the scale and reach of their participation in clean-up activities. They also want to raise awareness of the issues of littering, and cigarette butt littering particularly, in local communities. The challenge lies in the sheer scale of the problem, the need for accurate data on litter hotspots, and the requirement to monitor the impact of anti-littering activities effectively.
Download PDF
Optimizing Utility Management Workflows with Location Intelligence: A Case Study on Premier Utility Services - CARTO Industrial IoT Case Study
Optimizing Utility Management Workflows with Location Intelligence: A Case Study on Premier Utility Services
Premier Utility Services was faced with the challenge of managing their fieldwork operations, which included a large gas meter inspection and leak detection project in upstate New York. The project required the processing and management of large data sets, including data on over half a million gas meters. While Premier had turned to Fulcrum for help with data processing and management, they still needed a solution that would allow them to visualize and analyze the data at scale. The complexity of the application they needed was significant, as it had to handle vast amounts of data and provide useful insights for decision-making.
Download PDF
Skyhook Wireless's Global Location Intelligence with CARTO - CARTO Industrial IoT Case Study
Skyhook Wireless's Global Location Intelligence with CARTO
Skyhook Wireless, originally a provider of location on mobile devices, was facing the challenge of managing and utilizing the enormous amount of data generated from their location services. The data, which was being used to provide location-based services like pinpointing a device's location on a map, was growing exponentially as the company expanded its services globally. The challenge was not just managing this data, but also compartmentalizing it into usable pieces for analysis. The expectation of high spatial-temporal accuracy, which was once a stretch for a county or a city, was now expected on a global scale. Furthermore, the company was also facing the challenge of meeting the growing expectations of businesses that required detailed data analysis, such as the number of burgers sold in one McDonald's location versus another.
Download PDF
Spatial Analysis in Identifying and Characterising Gentrification in London - CARTO Industrial IoT Case Study
Spatial Analysis in Identifying and Characterising Gentrification in London
The Centre for Advanced Spatial Analysis (CASA) at UCL was faced with the challenge of identifying, characterising, and locating neighborhoods in London that have recently undergone gentrification. They needed to disaggregate the different types of changes revealed by the data. Additionally, they aimed to predict which neighborhoods are likely to be the next targets of gentrification. The ultimate goal was to present and make available data, code, and novel interactive visualisations as a comprehensive tool for supporting policy and decision making in the city.
Download PDF
AI Company Builds Country Scale Maps in 3 Months: A Case Study - Nextbillion.ai Industrial IoT Case Study
AI Company Builds Country Scale Maps in 3 Months: A Case Study
A leading AI cloud computing company was faced with the challenge of creating a large scale, end-to-end mapping solution for the entire UAE within a span of three months. The company needed to build high precision, country scale maps with rapid refresh rates, a task that is both expensive and extensive. The process involved building a map at a UAE level, adding 50+ custom attributes, performing quality checks and conflict resolution, and constantly maintaining and refreshing map data. The company also needed to derive map data intelligence from multiple imagery sources, which was a time-consuming process. The data structures used by different routing and navigation engines like OSRM and others vary by routing engine type. The client needed map data that could easily integrate with their existing routing and navigation engines.
Download PDF
Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company - Nextbillion.ai Industrial IoT Case Study
Enhancing Delivery Efficiency with Custom Mapping Solution: A Case Study on a Top US-Based Food Delivery Company
The leading food delivery company in the US was facing challenges in keeping up with the growing demand and customer expectations. The company was striving to meet its ambitious growth goals without compromising on the quality of service. The existing mapping solutions were rigid and did not cater to the company's specific needs. The company required a more tailored mapping solution that would help them achieve more efficient and on-time deliveries, provide more accurate Estimated Time of Arrivals (ETAs), and reduce costs on Maps APIs.
Download PDF
American University of Beirut's Transformation with QlikView Dashboards - Qlik Industrial IoT Case Study
American University of Beirut's Transformation with QlikView Dashboards
The American University of Beirut (AUB), a leading academic institution in Lebanon, faced significant challenges in managing 'big data' and extracting valuable insights. The university was using Oracle's business intelligence solution, which they found difficult to deploy and was only being used for reports rather than for dashboards and business discovery analysis. The university was also seeking to create a roadmap for the use of QlikView throughout the campus. The university and its medical center, AUBMC, were working with a variety of applications and database systems, including IBM DB2, Microsoft SQL Server, FoxPro, Oracle Financials, and specialist systems for hospital clinical needs. They also used three enterprise resource planning (ERP) systems—Oracle ERP, Banner ERP, and IBM—as well as Oracle Business Intelligence Enterprise Edition (OBIEE) for AUBMC.
Download PDF
Leveraging IoT and Data Analytics for Equitable Education: A Case Study of Loudoun County Public Schools - Qlik Industrial IoT Case Study
Leveraging IoT and Data Analytics for Equitable Education: A Case Study of Loudoun County Public Schools
Loudoun County Public Schools (LCPS) faced a significant challenge during the COVID-19 pandemic. With the closure of schools, the district had to ensure that all students had access to online learning resources. However, a small percentage of families and staff did not have internet access at home. LCPS had procured 1,500 hotspots from various vendors, but the challenge was to distribute these devices equitably. The district needed to identify not just the students, but also the households that required internet access. A triage approach was established to prioritize the distribution based on the disadvantaged status of households, households with multiple students, and households with students in higher grade levels.
Download PDF
Roush Enhances Driver Safety and Compliance with Motive IoT Solutions - Motive Industrial IoT Case Study
Roush Enhances Driver Safety and Compliance with Motive IoT Solutions
Roush Industries, a global engineering solutions provider, faced significant challenges with its trucking division. The company's electronic logging devices (ELDs) were malfunctioning, leading to connectivity issues and incorrect driver-trip matching. This resulted in drivers sitting idle, leading to financial losses for the company. Furthermore, the inability to track hours of service (HOS) due to the faulty ELDs led to several HOS violations, tarnishing the company's reputation and causing legal complications. After 18 months of disruption, Roush decided it was time for a change.
Download PDF
Sabel Steel's Transformation: Enhancing Driver Safety and Efficiency with IoT - Motive Industrial IoT Case Study
Sabel Steel's Transformation: Enhancing Driver Safety and Efficiency with IoT
Sabel Steel, a family-owned steel and scrap enterprise, was facing growing driver dissatisfaction with their electronic logging devices (ELDs). The ELD solution they were using from a well-known provider was proving to be costly, unreliable, and complex. The hardware was not dependable, and the user experience was complicated, leading to frequent complaints from drivers. Moreover, getting assistance from the provider's customer service was a time-consuming and difficult process. This situation was causing frustration for the DOT compliance and safety manager, Diane Woodruff. The company also faced a significant challenge when one of their trucks was forced off the road and into a ditch by a pickup truck, causing damage exceeding $120,000. Without video evidence to confirm their driver was not at fault, they had to rely solely on the driver’s testimony and the accident report.
Download PDF
Slide's Location-Based Experiences Powered by Radar's Geo APIs and Geofencing - Radar Industrial IoT Case Study
Slide's Location-Based Experiences Powered by Radar's Geo APIs and Geofencing
Raise, a leading mobile payments company, launched the Slide mobile app to provide better savings opportunities for shoppers. The app offers 4% cash back instantly for in-store and online purchases at over 150 partner locations. The challenge was to make it easy for users to identify nearby partner locations, receive cash back reminders as they shop, and identify the correct barcode when they reach checkout. To achieve this, Slide needed a comprehensive location infrastructure solution for their mobile payments app. The solution needed to be robust, cost-effective, and capable of powering all of the app’s location-based experiences.
Download PDF
Leveraging Geospatial Analysis for Strategic Investment Decisions in Private Equity - CARTO Industrial IoT Case Study
Leveraging Geospatial Analysis for Strategic Investment Decisions in Private Equity
The case study revolves around a private equity firm, American Securities, which was considering the acquisition of a retail chain. The primary question that needed to be answered before making the investment decision was whether the retail chain could continue to be profitable by building more stores. The firm was interested in two expansion strategies: whitespace, where the retail chain would expand into new markets where it didn't have a current brand presence, and In-Fill, where more stores would be created in the market that the retail chain was currently operating in. The challenge was to understand the potential profitability of these strategies in a short time frame, given the competitive and time-intensive nature of the bidding process. The firm also needed to understand the factors that could affect the performance of the stores, such as the impact of distance from the core market and other potential confounding factors.
Download PDF
Leveraging IoT for Analyzing UK's Covid Recovery & Mobility: A Case Study on Avison Young - CARTO Industrial IoT Case Study
Leveraging IoT for Analyzing UK's Covid Recovery & Mobility: A Case Study on Avison Young
Avison Young, a global commercial real estate services firm, faced a significant challenge due to the Covid-19 pandemic. The widespread retail slowdown and permanent work-from-home policies led to a drastic reduction in the demand for commercial spaces. This situation greatly impacted the commercial real estate market, which Avison Young is a part of. However, with vaccines becoming increasingly available, the commercial real estate market was expected to experience a sharp rebound. Many people were anticipated to return to shopping, traveling, training, and enjoying spaces outside their homes. Avison Young needed a way to visualize and understand these movement trends across local authority districts over time to better strategize and plan for the expected rebound.
Download PDF
Leveraging IoT for Real Estate: A Case Study on idealista's Property Investment Analysis - CARTO Industrial IoT Case Study
Leveraging IoT for Real Estate: A Case Study on idealista's Property Investment Analysis
idealista, an online real estate platform, was faced with the challenge of understanding the trends and patterns in their web traffic. The company noticed that a significant 19% of their web traffic for Spanish coastal property listings was coming from foreigners, with the remaining 81% from a national audience. The popular Spanish slogan “sol y playa en España (sun and beach in Spain)” was attracting people from all over the world to invest in property in the Iberian Peninsula. idealista wanted to delve deeper into this data to identify interesting trends and gain a more visual understanding of their audience's preferences and behaviors.
Download PDF
Operational Excellence through Digital Transformation: A Case Study on FrieslandCampina - SymphonyAI Industrial IoT Case Study
Operational Excellence through Digital Transformation: A Case Study on FrieslandCampina
FrieslandCampina, a renowned dairy company, was facing operational challenges in its packaging department. The department, which operates in three shifts, required constant monitoring of a range of parameters on the packaging machines to ensure optimal functioning. Additionally, with each new production run, a new parameter list had to be completed. Until recently, these values were manually recorded on paper lists and stored, which was a time-consuming and inefficient process. The shift leader had to spend a significant amount of time filing these paper lists, and referring back to the values for a specific machine on a specific day was a cumbersome task. The paper-based process was not only inefficient but also prone to errors and lacked real-time accessibility.
Download PDF
Washington SBCTC's Successful Implementation of ScreenSteps for Efficient Training - ScreenSteps Industrial IoT Case Study
Washington SBCTC's Successful Implementation of ScreenSteps for Efficient Training
The Washington State Board of Community and Technical Colleges (SBCTC) faced a significant challenge when they decided to roll out new software across several campuses. The primary issue was how to effectively train employees to use the new system in a scalable manner. Corinne and Gretchen, who were in charge of instructional design, realized that creating training material for the new system was going to be a substantial task using their current workflow. They also identified that employees were struggling to find answers to their questions about the new system. The creation of content was not only time-consuming, but once it was created, it was not easily accessible or searchable for the employees. The training process became overwhelming due to the lack of well-established resources and workflows.
Download PDF
Transforming Documentation and Training with Scribe: A Case Study on Beacon Benefits, Inc. - Scribehow Industrial IoT Case Study
Transforming Documentation and Training with Scribe: A Case Study on Beacon Benefits, Inc.
Beacon Benefits, Inc., a small professional service provider serving small and micro businesses, was facing challenges in their documentation, training, and collaborative learning culture. The company, which specializes in providing state-of-the-art retirement programs, was struggling with the time-consuming process of documenting procedures and training programs. The complexity of their services, which include payroll, Section 125 administration, and retirement plan compliance, required a high level of organization and efficiency. The company was also looking for a way to foster collaborative learning among their team members, allowing everyone to contribute to team growth and learn new processes.
Download PDF
Streamlining Business Operations: Altvia's Success with SweetProcess - SweetProcess Industrial IoT Case Study
Streamlining Business Operations: Altvia's Success with SweetProcess
Altvia, a software-driven company that assists private equity firms to strengthen their relationships with clients using data intelligence, was facing a significant operational challenge. Despite being a company that helps others streamline their processes, Altvia was struggling with its own internal operations. The company had created an overwhelming number of processes in an attempt to enhance efficiency. However, this approach proved to be counterproductive. With as many as ten different processes for a single task, team members were overwhelmed and struggled to identify the useful information from the clutter. They often picked the wrong document from the pile and had many questions about what to do and how to do it. The Chief Operating Officer, Ben Hendershot, recognized that the issue lay in the gaps in their processes and the lack of a unified system.
Download PDF
Atlantic Sapphire's Transition to Efficient Workflow Systems with SweetProcess - SweetProcess Industrial IoT Case Study
Atlantic Sapphire's Transition to Efficient Workflow Systems with SweetProcess
Atlantic Sapphire, a salmon farming company, faced significant challenges in its operations. The company was struggling with the absence of an effective workflow system, which was hindering optimal business operations. Stanley Kolosovskiy, the technology process coordinator, despite having a minor in computer science and being a process-driven ISO 9001 certified auditor, found it difficult to work with the existing software. The situation was even more challenging for his colleagues who lacked a background in computer engineering and were not process-oriented. Another major concern was the emission of a massive carbon footprint when flying salmon to the United States. The company resolved to produce the fish locally and sustainably, which required strict adherence to operational procedures by employees. However, standard operating procedures were nonexistent. Furthermore, there was a need to transfer operational knowledge from their Denmark facility to the new facility in the United States for collaboration and quality assurance.
Download PDF
DFK Hirn Newey's Journey to Streamline Processes and Improve Efficiency with SweetProcess - SweetProcess Industrial IoT Case Study
DFK Hirn Newey's Journey to Streamline Processes and Improve Efficiency with SweetProcess
DFK Hirn Newey, a B2B company in the financial and professional services space, was facing a significant challenge in managing its procedures and policies. The company was struggling with the rapid introduction of new software, which led to a complex web of procedures living in applications, the minds of employees, or in an instruction manual. The company was also facing difficulties in keeping procedure documents up to date, ensuring key staff members had access to the systems, and maintaining compliance. The director, Paul Fiumara, was constantly putting out fires instead of focusing on high-level tasks that would allow the business to function more effectively. The transition from traditional paper-based systems to electronic delivery of services further complicated the situation. The lack of a well-structured system meant that errors were not being picked up, leading to inefficiencies and mistakes.
Download PDF
Scaling Up Everywhere Wireless through Enhanced Employee Onboarding and Training - SweetProcess Industrial IoT Case Study
Scaling Up Everywhere Wireless through Enhanced Employee Onboarding and Training
Everywhere Wireless, a leading internet service provider in Chicago, was facing challenges in managing its growing workforce. As the company expanded, the need for a more effective system to manage standard operating procedures became crucial. The existing manual system was unable to meet the increasing demands of knowledge distribution among the team members. The larger the team grew, the more difficult it became to pass on work-related information. This led to constant queries from team members about how to get things done, which the existing system was unable to address. The company needed a solution that could streamline the process of knowledge distribution and make it more efficient.
Download PDF
Efficiency Boost: Forensic Analytical Consulting Services' Transformation with SweetProcess - SweetProcess Industrial IoT Case Study
Efficiency Boost: Forensic Analytical Consulting Services' Transformation with SweetProcess
Forensic Analytical Consulting Services Inc. (FACS) faced a significant challenge in maintaining consistency and efficiency across its expanding organization. The company had standard operating procedures (SOPs) in place, but these were complex and not user-friendly, leading to employees avoiding them. The SOPs were stored in PDF files buried in server folders, making them difficult to access and use. As a result, employees frequently turned to the director of operations, Kevin Trapp, with questions, creating a dependency that hindered productivity. The management recognized the need for a system that would enable team members to work independently with minimal supervision.
Download PDF

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that AGP may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from AGP.
Submit

Thank you for your message!
We will contact you soon.