The problem
Manual ordering causes stock-outs and over-ordering.
The opportunity: Automated reordering
Who it helps
- Cafes
- Retailers
- Workshops
- Clinics
What the research says
McKinsey Global Institute
Risk, resilience, and rebalancing in global value chains (2020)
This is our own extension of the report's theme. The report does not make this recommendation itself.
Search for the report(opens in a new tab)We have not yet verified a direct link to this report, so this opens a web search for its title.
The solution
Rules-based reorder suggestions or auto-purchase orders from stock data.
How it is implemented
- 01Set par levels
- 02Connect stock and supplier systems
- 03Generate suggested orders
- 04Approve and send
- 05Refine rules
What it needs
- Inventory data
- Supplier contacts
- Automation tool
Want this implemented in your business?
No self-serve tool yet. We can scope and build it for your business on request.
Source details are being verified; please check the original publication.
All summaries are written by Trovecrest in our own words. Nothing is copied from the reports, and no figures are reproduced.
Trovecrest is independent and not affiliated with or endorsed by the firms whose research is referenced.
More in Operations & Supply Chain
See all in this theme- 017Bespoke
Overstock and stock-outs tie up cash and lose sales.
AI demand forecasting for small retailers
Capgemini Research Institute, 2024
- 055Bespoke
Small sellers do not know current stock across channels, causing overselling and delays.
Inventory visibility dashboard
McKinsey Global Institute, 2020
- 056Bespoke
Dependence on single suppliers or regions exposes firms to disruptions.
Supplier diversification and risk register
McKinsey Global Institute, 2020