Every container, pallet and parcel in this knowledge base moves twice: once physically and once as data. The data move comes first: a purchase order in an enterprise resource planning (ERP) system, a forecast and replenishment plan in a planning tool, a load tendered through a transportation management system (TMS), a putaway and pick in a warehouse management system (WMS), an entry filed through customs software, and a stream of location pings from telematics and visibility platforms. Software rarely creates a supply chain's advantage by itself, but it decides whether the physical network can run at the density and reliability the business needs, and it is where some of the industry's costliest failures began. Hershey's ERP go-live in Jul 1999 left it unable to ship much of its Halloween candy; Lidl abandoned a seven-year SAP project in 2018 after a reported ~€500m; Target's Canadian stores (opened 2013, closed by Jan 2015) failed partly on bad item data. Software is also a single point of failure: NotPetya shut Maersk's systems in Jun 2017 (cost ~$250–300m, company estimate); Expeditors shut its global systems after a cyberattack in Feb 2022; and a ransomware attack on Blue Yonder on 21 Nov 2024 (claimed by the "Termite" group, which said it took ~680 GB of data) disrupted Starbucks's scheduling across more than 10,000 US stores and Morrisons's fresh-food warehouse systems in the UK (reported). The listed fleet-software leader, Samsara, reported fiscal-2026 revenue of ~$1.62bn (+30%) and annual recurring revenue of ~$1.89bn (year to 31 Jan 2026; company 8-K, 5 Mar 2026) with a small GAAP operating loss (~$53m) and two consecutive GAAP-profitable quarters. This section explains the software stack, ERP and planning, execution systems, visibility and data networks, fleet IoT, procurement SaaS, the economics of selling software to supply chains, implementation failures, cyber risk and what AI does and does not change.
What the study covers
- 1Overview: the second supply chain
- 2Units and metrics
- 3The stack
- 4ERP: the system of record
- 5Planning: forecasts, supply and S&OP
- 6Execution: WMS, TMS and order management
- 7Visibility, EDI and data networks
- 8Fleet IoT: Samsara and telematics
- 9Procurement and spend management
- 10Implementation failures
- 11Cyber risk: the network's single points of failure
- 12AI in planning and execution
- 13The economics of selling software to supply chains
- 14How to read software claims
- 15Key numbers
- 16Landmark companies and cases
- 17Pitfalls
- 18How an expert thinks about it
- 19Glossary
Companies in this study
- SAP
- Blue Yonder
- Kinaxis
- Manhattan Associates
- Descartes Systems
- project44
- Samsara
- Coupa
- C2FO
- Hershey
- Nike
- Target
- Schwarz Group (Lidl)
- Walmart
- Amazon Logistics
- C.H. Robinson
- Uber Freight
- Flexport
- Expeditors
- A.P. Moller-Maersk
- FedEx
- Toyota
- DP World. Oracle's database, cloud and applications business is profiled in the AI knowledge base (Oracle), as is Amazon Web Services (Amazon AWS); for AI agents and copilots see AI 13 Agents and Automation and AI 06 Enterprise AI Applications.