Case Studies
    ANDOR
  • (5,794)
    • (2,602)
    • (1,765)
    • (764)
    • (622)
    • (301)
    • (236)
    • (163)
    • (155)
    • (101)
    • (94)
    • (86)
    • (49)
    • (28)
    • (14)
    • (2)
    • View all
  • (5,073)
    • (2,519)
    • (1,260)
    • (761)
    • (490)
    • (436)
    • (345)
    • (86)
    • (1)
    • View all
  • (4,407)
    • (1,774)
    • (1,292)
    • (480)
    • (428)
    • (424)
    • (361)
    • (272)
    • (211)
    • (199)
    • (195)
    • (41)
    • (8)
    • (8)
    • (5)
    • (1)
    • View all
  • (4,157)
    • (2,048)
    • (1,256)
    • (926)
    • (169)
    • (9)
    • View all
  • (2,488)
    • (1,262)
    • (472)
    • (342)
    • (225)
    • (181)
    • (150)
    • (142)
    • (140)
    • (127)
    • (97)
    • View all
  • View all 15 Technologies
    ANDOR
  • (1,732)
  • (1,626)
  • (1,605)
  • (1,460)
  • (1,423)
  • (1,411)
  • (1,313)
  • (1,178)
  • (1,059)
  • (1,017)
  • (832)
  • (811)
  • (794)
  • (707)
  • (631)
  • (604)
  • (595)
  • (552)
  • (500)
  • (441)
  • (382)
  • (348)
  • (316)
  • (302)
  • (295)
  • (265)
  • (233)
  • (192)
  • (191)
  • (184)
  • (168)
  • (165)
  • (127)
  • (116)
  • (115)
  • (81)
  • (80)
  • (63)
  • (58)
  • (56)
  • (23)
  • (9)
  • View all 42 Industries
    ANDOR
  • (5,781)
  • (4,113)
  • (3,091)
  • (2,780)
  • (2,671)
  • (1,596)
  • (1,471)
  • (1,291)
  • (1,013)
  • (969)
  • (782)
  • (246)
  • (203)
  • View all 13 Functional Areas
    ANDOR
  • (2,568)
  • (2,482)
  • (1,866)
  • (1,561)
  • (1,537)
  • (1,529)
  • (1,126)
  • (1,027)
  • (907)
  • (695)
  • (647)
  • (604)
  • (600)
  • (521)
  • (514)
  • (514)
  • (491)
  • (423)
  • (392)
  • (363)
  • (351)
  • (348)
  • (341)
  • (312)
  • (312)
  • (293)
  • (272)
  • (243)
  • (238)
  • (237)
  • (230)
  • (217)
  • (214)
  • (208)
  • (207)
  • (204)
  • (198)
  • (191)
  • (188)
  • (181)
  • (181)
  • (175)
  • (160)
  • (155)
  • (144)
  • (143)
  • (142)
  • (142)
  • (141)
  • (138)
  • (120)
  • (119)
  • (118)
  • (116)
  • (113)
  • (108)
  • (107)
  • (99)
  • (97)
  • (96)
  • (96)
  • (90)
  • (88)
  • (87)
  • (85)
  • (83)
  • (82)
  • (80)
  • (80)
  • (73)
  • (67)
  • (66)
  • (64)
  • (61)
  • (60)
  • (59)
  • (58)
  • (57)
  • (53)
  • (53)
  • (50)
  • (49)
  • (49)
  • (48)
  • (44)
  • (39)
  • (36)
  • (36)
  • (35)
  • (32)
  • (31)
  • (30)
  • (29)
  • (27)
  • (26)
  • (26)
  • (25)
  • (25)
  • (22)
  • (22)
  • (21)
  • (19)
  • (19)
  • (18)
  • (18)
  • (17)
  • (17)
  • (16)
  • (14)
  • (13)
  • (13)
  • (12)
  • (11)
  • (11)
  • (11)
  • (9)
  • (7)
  • (6)
  • (5)
  • (4)
  • (4)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • View all 127 Use Cases
    ANDOR
  • (10,333)
  • (3,499)
  • (3,391)
  • (2,981)
  • (2,593)
  • (1,261)
  • (932)
  • (344)
  • (10)
  • View all 9 Services
    ANDOR
  • (503)
  • (432)
  • (382)
  • (301)
  • (246)
  • (143)
  • (116)
  • (112)
  • (106)
  • (87)
  • (85)
  • (78)
  • (75)
  • (73)
  • (72)
  • (69)
  • (69)
  • (67)
  • (65)
  • (65)
  • (64)
  • (62)
  • (58)
  • (55)
  • (54)
  • (54)
  • (53)
  • (53)
  • (52)
  • (52)
  • (50)
  • (50)
  • (49)
  • (48)
  • (47)
  • (46)
  • (43)
  • (43)
  • (42)
  • (37)
  • (35)
  • (32)
  • (31)
  • (31)
  • (30)
  • (30)
  • (28)
  • (28)
  • (27)
  • (24)
  • (23)
  • (23)
  • (23)
  • (22)
  • (21)
  • (21)
  • (20)
  • (20)
  • (19)
  • (19)
  • (19)
  • (19)
  • (18)
  • (18)
  • (18)
  • (18)
  • (17)
  • (17)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (15)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (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)
  • (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)
  • (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)
  • (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)
  • View all 737 Suppliers
Connect?
Please feel encouraged to schedule a call with us:
Schedule a Call
Or directly send us an email:
18,926 case studies
Case Study missing? Just let us know via Add New Case Study.
18,926 Case Studies Selected
USD 0.00
Buy This List
Compare
Sort by:
Plug N Track GPS Case Study
The Clintar Ottawa team had been using a GPS tracking system for their fleet, but the system was not performing as expected. The system was not updated often, some devices were not working properly, and some were not working at all. Service from the supplier was difficult when adding units or getting billing questions answered. As a result, the franchise had let their fleet tracking program decline to roughly half of their assets. With half the information, they were prone to mistakes when making important decisions.
Download PDF
Jonathan’s Snow Removal and Landscaping: Quick Recovery of Stolen Asset with AutoConnect GPS
Jonathan’s Snow Removal and Landscaping has been using AutoConnect GPS for over 3 years to monitor their snow removal fleet’s progress, and to verify customer billing and employee timecards. However, they faced an unexpected problem when one of their snow removal trucks was stolen from their garage. The theft occurred less than 12 hours after they had installed a new device in the truck. The company was shocked to find the garage door open and the truck missing the next morning.
Download PDF
Customer Success: Cactus Jack’s Auto
Before implementing the GoldStar GPS system, Cactus Jack’s Auto was facing significant challenges with their repo department. They had 1,800 active accounts and were actively searching for 150 vehicles. After a six-month search, these vehicles were written off as total losses. This represented a significant loss for the company, amounting to 8% of all accounts. The company was in dire need of a solution that could help them reduce the number of vehicles being pursued, lower recovery costs and time, retain more working capital, decrease the number of write-offs, and recoup vehicles stolen from their lots.
Download PDF
Customer Success: Auto Credit of Austin
Auto Credit of Austin, a dealership with multiple locations in the Austin, Texas area, was facing high costs associated with vehicle repossession. These costs included bailiff and legal fees, towing and storage charges, auction selling fees, and lost revenue from skipped payments. The dealership was looking for a solution to reduce these costs and improve their overall operations.
Download PDF
Eggleton Trucking and FleetLocate: A Better Approach to Fleet Management
Eggleton Trucking, a family-owned trucking company based in California, was facing challenges in managing its fleet operations. The company hauls bulk commodities to farms throughout southern California and participates in a regional recycling program. The eight trucks in Eggleton’s fleet average 100 to 110 loads of material per week. However, the company was struggling with fleet visibility and had to rely on drivers to self-report their locations and estimated times of arrival (ETAs). This lack of real-time information led to inefficiencies in dispatch operations and potential missed pick-ups. Unexpected delays could cause significant problems as pick-up locations had short time windows. The company needed a solution that could provide real-time location information for the entire fleet, enabling efficient dispatch operations.
Download PDF
Case Study: Allied Toyotalift
Allied Toyotalift, a medium-sized enterprise in the wholesale distribution industry, was facing several challenges related to their fleet management. They were struggling with knowing where their drivers were at any given time, improving fleet efficiency, and reducing costs. These challenges were impacting their overall operational efficiency and bottom line. To address these issues, they decided to evaluate various solutions and ultimately selected Spireon FleetLocate.
Download PDF
Art Newsome, Inc. Case Study
Art Newsome Inc., a small business in the HVAC industry, faced several challenges related to their fleet management. They were struggling with knowing where their drivers were, using vehicles and assets efficiently, improving fleet safety, and reducing costs. These challenges were impacting their overall business operations and efficiency. The company needed a solution that could address these issues and help them improve their fleet management.
Download PDF
Case Study: City of Sun Prairie
The City of Sun Prairie was facing several challenges related to their fleet management. They were struggling with knowing where their drivers were at any given time, which was causing inefficiencies in their operations. They also wanted to make better use of their vehicles and assets, and improve the overall efficiency of their fleet. These challenges led them to evaluate various solutions, and they ultimately selected Spireon FleetLocate.
Download PDF
Drury Southwest and FleetLocate: All About IFTA, ELD, and Safer Drivers
Drury Southwest, a family-owned construction and hotel business, faced challenges in managing their fleet of tractors, flatbeds, and trailers used for hauling construction equipment and materials. The company had to comply with the International Fuel Tax Agreement (IFTA), which required accurate reporting of miles driven across state lines. The process was time-consuming and prone to errors as it relied on drivers to provide mileage information. Additionally, the company needed to ensure compliance with the Electronic Logging Device (ELD) mandate, which required accurate logging of drivers' hours. The company decided to be proactive and adopt a solution before the ELD compliance deadline.
Download PDF
Meiborg Brothers and FleetLocate
Meiborg Brothers, a medium-sized transportation services company, faced several challenges related to their trailer and asset management. They were struggling with knowing where their trailers and assets were at all times, understanding their usage, and managing operational costs. These challenges led them to seek a solution that could provide real-time visibility and control over their fleet.
Download PDF
H&M Trucking Inc. and FleetLocate
H&M Trucking Inc., a medium-sized transportation services company, was facing challenges related to the usage of their trailers/assets. The company was struggling to manage their trailer fleet effectively, which was impacting their overall operations and profitability. The company needed a solution that could help them optimize their trailer pool and improve asset utilization.
Download PDF
E-Can Oilfield Services and FleetLocate
E-Can Oilfield Services was facing a challenge in managing their trailer fleet. The company was struggling with knowing where their trailers and assets were at all times. This was a significant issue as it affected the efficiency and productivity of their operations. The lack of real-time visibility into the location of their assets was a major hurdle that the company needed to overcome.
Download PDF
Sharp Transportation Inc. and FleetLocate
Sharp Transportation Inc. was facing challenges in managing their trailer fleet. They were struggling with knowing where their trailers and assets were at all times and how they were being used. This was causing inefficiencies in their operations and was also impacting their ability to comply with the Food Safety Modernization Act. The company needed a solution that could help them better manage their trailer fleet, improve detention billing, reduce wasted driver time, and ease compliance with regulatory requirements.
Download PDF
American West World Wide Express and FleetLocate
American West World Wide Express, a medium-sized transportation services company, was facing challenges in managing their trailer fleet. They were struggling with knowing where their trailers and assets were at all times and understanding their usage. These challenges were affecting their ability to effectively manage their fleet and optimize their operations.
Download PDF
Coreslab Structures and FleetLocate
Coreslab Structures, a medium-sized enterprise in the construction industry, was facing challenges in managing their trailer fleet. The primary issue was the inability to know the exact location of their trailers/assets at all times. This lack of real-time visibility and control over their assets was a significant problem that needed an immediate solution.
Download PDF
Vehicle Plumbing Service Saves $1,500/Month With FleetLocate
Tommy Rooter Plumbing, a company specializing in drain cleaning for commercial businesses in Southern California’s Coachella Valley, faced a challenge of tracking and managing their fleet of 11 vehicles. The company had limited awareness of technician locations throughout the area, which spans approximately 303 square miles, including the cities of Indio, Cathedral City, and Palm Springs. The staff is typically out in the field all day, whether on a job or on stand-by, so driver efficiency was neither trackable nor reliable.
Download PDF
Pan American Express Saves Over One Million Dollars in One Year with FleetLocate Asset & Trailer Intelligence
Pan American Express, a company that operates a fleet of over 600 dry van trailers traveling from Mexico to Canada, was facing a significant challenge in providing accurate and timely information to their customers. The company's customers, mainly automotive parts suppliers, operate on a just-in-time model, making on-time pick-up and delivery absolutely critical. The company was relying on manually generated, time-consuming, and often flawed second-hand information, which was costing them in wasted resources, revenue, and time. The need for greater visibility and increased efficiencies drove the company to look for a better trailer management solution.
Download PDF
Corridor Motors II
Corridor Motors II, a small business in the automotive and transport industry, was facing significant challenges in reducing vehicle recovery time and quickly locating delinquent customers/vehicles. The company needed a solution that could help them overcome these challenges and improve their overall business operations. The inability to quickly locate delinquent customers and their vehicles was causing delays and inefficiencies in their operations. Furthermore, the extended vehicle recovery time was negatively impacting their business performance and profitability.
Download PDF
Auto Now Case Study
Auto Now, a small business in the automotive and transport industry, was facing significant challenges in reducing vehicle recovery time and locating delinquent customers or vehicles. The company needed a solution that could help them overcome these challenges and improve their operational efficiency.
Download PDF
Kahu Helps Dealership Hit CSI Goals
East Valley Nissan, a dealership in Mesa, Arizona, was looking for ways to expedite the sales process. The dealership had previously used solutions that would flash the third brake light to help locate specific vehicles for test drives. However, this process was time-consuming and often led to customer dissatisfaction. The dealership found that a delay of 15 to 20 minutes in locating a car for a test drive could significantly dampen a customer's excitement and interest in the model. The dealership needed a solution that could help them locate specific vehicles quickly and efficiently, thereby improving the customer experience and meeting their key performance indicators (KPIs).
Download PDF
Small Dealer, Long Reach
Double H Auto Exchange, a small car dealership in Queen Creek, Arizona, has been in business since 1999. The dealership sells about 19 units per month, mostly through buy here pay here (BHPH) financing. From the very beginning, the dealership has placed GPS devices on its cars, following the advice of a board member of the Arizona Independent Auto Dealers Association (AIADA). The board member recommended GoldStar, a leading GPS provider in the used car industry. Despite this, the dealership faced challenges as it grew and took on more risk, leading to an increase in repossessions.
Download PDF
How One Towing Business Turned HOS Regulations to Its Advantage Using FleetLocate
Best Towing, a trusted towing company in the Huntington Beach area, was facing challenges with compliance to Hours of Service (HOS) regulations. The company was using Keep Truckin’s Hours of Service app to manage their logs, but it was complicated and not user-friendly. The company needed a simpler solution for their drivers. Additionally, some of the drivers at Best Towing have been there for decades and were resistant to change, making the selection of an easy-to-use solution crucial. The company also wanted to prepare for the eventuality of additional requirements in the future.
Download PDF
Who Do You Trust When the Stakes Become High? A FIRSTHAND FLEET MANAGEMENT SUCCESS STORY
Tejas Distributors, a company that places amusement vending machines across five states, needed a reliable fleet management system. Their drivers load their vans and trailers, leave Monday, and return each Friday, servicing stores along their routes. The company needed to know how late their drivers were working, help them in real time around flooding when hurricanes and other tropical storms hit the coast, and guide them safely through blizzard conditions. They also needed to locate their drivers in case of emergencies, such as accidents or health issues.
Download PDF
Get Off the Struggle Bus
Annett Bus Lines, a motorcoach company with five terminals and nearly 60 full-size charter buses, faced challenges in tracking its infrastructure. The company had previously experimented with electronic logging, but the experience was not successful, leading to a loss of faith in electronic logging solutions.
Download PDF
Rapid deployment of Restrata Platform in under 10 days
The Virgin Money London Marathon was set to go ahead in 2021 after being cancelled in 2020 due to COVID-19. The organizers needed to ensure that the 200+ elite runners, who were flying in from all over the world, would be free from infection. Once in the UK, these athletes would stay at the De Vere Beaumont Estate Windsor for 2-3 days along with their support teams, media, reporters, and hotel staff. The challenge was to keep every athlete safe during their stay and be able to identify and isolate anyone at risk in case of a positive test.
Download PDF
AmFam's Transformation through Tableau Embedded Analytics - Tableau Industrial IoT Case Study
AmFam's Transformation through Tableau Embedded Analytics
American Family Insurance (AmFam), a private mutual insurance company, faced challenges in providing data support to its local and regional agencies. These agencies, organized as independent contractors, are a crucial part of the AmFam data ecosystem, utilizing corporate data to optimize their sales and customer service contributions. However, the existing system was siloed and offline, making it difficult for agencies to access and analyze data. AmFam sought to improve the delivery of analytics to its agents, particularly around product availability, performance metrics, and expected business results. The challenge was to replace the siloed data sources and offline workflows with a secure portal that integrates insights into existing user interfaces (UI).
Download PDF
Anadolu Sigorta's Transformation into a Data-Driven Insurance Company - Tableau Industrial IoT Case Study
Anadolu Sigorta's Transformation into a Data-Driven Insurance Company
Anadolu Sigorta, Turkey's first national insurance company, was facing challenges in identifying and investigating fraudulent claims, a process that was extremely time-consuming and detracted from their ability to serve genuine claims efficiently. The company was dealing with disparate data sources, legacy systems, and manual work processes, making it difficult to identify and eliminate fraudulent claims. Additionally, as a 95-year-old company, Anadolu Sigorta had many legacy systems and applications throughout the business, creating a fragmented ecosystem that was hard to work with. They had multiple production environments for the same process, leading to problems with data quality, reliability, and effective governance. The company also faced cultural challenges, with employees and external distributors resistant to modern data visualization trends.
Download PDF
Bank BRI Indonesia's Journey Towards Decentralized Analytics for Rapid Business Insights - Tableau Industrial IoT Case Study
Bank BRI Indonesia's Journey Towards Decentralized Analytics for Rapid Business Insights
PT Bank Rakyat Indonesia (BRI), one of the largest banks in Indonesia, was facing a significant challenge in its data analytics process. The bank, which is data-driven in its approach, was struggling with a centralized system where data analytics was considered a task for the IT department only. Business teams had to put in a request to IT every time they needed a new report or dashboard, and then wait up to four weeks for a response. The reports and dashboards were prepared using complex queries and coding, which often led to requests for changes and further delays. In some cases, the dashboard was no longer required by the time it was complete. BRI wanted to enable faster delivery of data to business teams and build a foundation for self-service analytics.
Download PDF
Basware's Innovative Approach to Financial Process Digitization with Tableau - Tableau Industrial IoT Case Study
Basware's Innovative Approach to Financial Process Digitization with Tableau
Basware, a global provider of SaaS solutions, helps businesses digitize their financial processes to drive compliance, facilitate better process automation, and optimize overall data quality. The company supports over 2,500 customers across more than 175 countries. However, the challenge was to provide these customers with a complete overview of their financial data, from procurement-to-payment (P2P), via a single, central platform. The goal was to enable customers to make faster, more informed decisions and streamline payment processes. The ongoing COVID-19 pandemic further emphasized the need for organizations to have complete visibility of both direct and indirect spending, making accurate analytics essential.
Download PDF
Digital Transformation and Data Culture: A Case Study on Belcorp - Tableau Industrial IoT Case Study
Digital Transformation and Data Culture: A Case Study on Belcorp
Belcorp, a Latin American beauty corporation, faced a significant challenge due to the COVID-19 pandemic, economic turmoil, and drastic changes in consumer behavior. The company, which operates in 13 different countries, had to rethink its line of beauty products and business model that had been in place for the past 53 years. The pandemic also posed a challenge to Belcorp's traditional direct selling model, as face-to-face interactions were no longer possible. The company had to quickly adapt to these changes and find a way to continue its operations and maintain its growth. The challenge was not only to survive the crisis but also to take advantage of it and transform the business to become more digital and consumer-centric.
Download PDF
test test