Labour Optimisation: How to Improve Store Performance with Traffic Data

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As you plan forward for the year, consider if you are focused on containing costs or growing profits when it comes to labour allocation.

The traditional approach to store staffing is based on risk aversion; operate the store on a minimal number of labour hours to preserve profits, which means using sales data to directly influence labour allocation.

Consider that “75% of consumers say it’s absolutely critical to interact with a salesperson who is available when needed” and you see the contradiction.

Solve this problem by leveraging store traffic data to align labour hours with shopper visits and improved store performance will follow.

[button color=”” size=”” type=”” target=”” link=”https://uk.shoppertrak.com/resources/downloads/labour-optimisation-bricks-mortar-retail/”]Download Labour Optimisation eBook →[/button]
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As you plan forward for the year, consider if you are focused on containing costs or growing profits when it comes to labour allocation.

The traditional approach to store staffing is based on risk aversion; operate the store on a minimal number of labour hours to preserve profits, which means using sales data to directly influence labour allocation.

Consider that “75% of consumers say it’s absolutely critical to interact with a salesperson who is available when needed” and you see the contradiction.

Solve this problem by leveraging store traffic data to align labour hours with shopper visits and improved store performance will follow.

[button color=”” size=”” type=”” target=”” link=”https://uk.shoppertrak.com/resources/downloads/labour-optimisation-bricks-mortar-retail/”]Download Labour Optimisation eBook →[/button]
NewsResources

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