Analytics also has a role to play as mentioned before. In accounting terms, buildings, trucks, pallets, etc are classified as fixed assets. The way you get value for the investment in fixed assets is to measure their yield.
For example, what percentage of storage locations are used each month of the year, and what are the shares of storage used for new season merchandise arrived early, current season goods and old season merchandise still in stock? What percent of truck load capacity is used each month and how does that correlate with the money spent on hiring external resources to provide extra capacity at peak times?
Labour statistics are another area. For example, how productive are the goods in teams, put away teams, pickers, despatchers, and drivers? This can lead to re-balancing the teams to get better productivity.
Another area where analytics can help the entire business is in lost sales analysis. Lost sales are typically around 5% of sales in grocery, but mushroom to 20% sales in fashion. Most retailers do not estimate lost sales, and this inhibits demand forecasting and future planning.