How to Automate In‑Store Workflows for Seamless BOPIS and BORIS Operations

TL;DR

Automating in‑store BOPIS and BORIS workflows cuts labor hours by 30 % and return processing time by 25 %. By integrating POS, inventory, and fulfillment systems, associates complete pick‑up and return tasks in under five minutes. Deploy real‑time visibility, queue prioritization, and AI‑driven slot scheduling to boost efficiency and customer satisfaction.

Key Takeaways

• 30 % labor savings come from automated pick lists in BOPIS.
• 45 % faster order processing follows workflow automation.
• 25 % less return time is achieved with BORIS automation.
• Petrol‑like speed: 70 % of BOPIS orders finish within five minutes.
• Integrated systems are the foundation for consistent, friction‑free operations.

How Automated Pick Lists Reduce Labor Hours in BOPIS

In 2024, a Gartner study found that 72 % of retailers using BOPIS automation achieved a 30 % cut in labor hours per order, translating into significant cost savings and more time for customer engagement. (Gartner 2024)

Automated pick lists eliminate manual scanning and double‑checking. Associates receive a digital checklist that updates in real time as items are located, ensuring accurate picks and scars no re‑work. When associates follow a structured path, the average pick‑up time drops from 8 minutes to just 3.5 minutes, freeing staff for other high‑value tasks.

Implementing a dynamic routing algorithm that prioritizes items by shelf proximity further cuts travel time. Combine that with barcode scanners that validate picks instantly, and the cumulative effect is a 30 % reduction in labor hours per BOPIS order.

The Role of Real‑Time Inventory Visibility

A McKinsey & Company report in February 2024 highlighted that automated in‑store workflow improved inventory accuracy by 12 % for BOPIS orders. (McKinsey 2024)

Real‑time inventory dashboards allow associates to see exact stock levels and the locations of each SKU across the store. When a customer orders an item that is out of stock, the system automatically alerts the associate and proposes an alternative. This immediacy prevents missed pickups and reduces the need for last‑minute restocking.

Coupled with RFID‑enabled shelves, associates can instantly verify item presence, eliminating the two‑minute check that traditionally slows the process. The net result is a smoother pick‑up flow, higher accuracy, and a better customer experience.

Queue Prioritization Technology Cuts Order Processing Time

Forrester’s July 2024 study reported that average BOPIS order processing time reduced by 45 % after workflow automation. (Forrester 2024)

Queue prioritization software assigns a dynamic priority to each order based on factors such as pickup time, order value, and customer loyalty tier. Associates can view a live queue on their tablet, ensuring that high‑priority orders are handled first.

This system prevents bottlenecks that arise when multiple orders pile up at the same counter. By distributing workload evenly, associates process 10–15 % more orders per hour. The technology also alerts staff when a queue exceeds a predefined threshold, allowing proactive staffing adjustments.

UTC‑Based Order Assignment for BORIS

Retail TouchPoints’ September 2024 data shows that 58 % of retailers using BORIS reported a 25 % decrease in return processing time. (Retail TouchPoints 2024)

UTC‑based order assignment standardizes time stamps across all systems, eliminating discrepancies that often cause return delays. When reloads are logged with a single time source, associates can quickly verify return eligibility and complete the process in the same pass as the pickup.

UTC synchronization also supports automated analytics, allowing managers to identify patterns in return spikes and adjust staffing or shelf placement accordingly. The result is a return process that is both faster and more reliable.

RFID‑Enabled Shelf Monitoring Reduces Return Errors

In October 2024, NRF research found that store associates reported a 35 % reduction in order picking errors after implementing automated BOPIS pick lists. (NRF 2024)

RFID tags on shelves transmit real‑time location data to a central system. When an associate begins a pick, the system confirms that the item exists at the expected location, preventing “missing item” errors.

During return processing, RFID data confirms that the returned item matches the original SKU, reducing fraud and mis‑placement. The combination of accurate picking and verified returns shortens the overall fulfillment cycle and boosts inventory confidence.

Analytics Dashboards for Store Associates

Deloitte’s April 2024 report indicates that 80 % of retailers with automated BOPIS workflows saw a 15 % increase in same‑day pickup orders. (Deloitte 2024)

Dashboards should display key metrics: current queue length, average pick time, inventory levels per aisle, and employee performance indicators. Associates can use this data to adjust their workflow on the fly, focusing on high‑impact tasks.

A well‑designed dashboard also flags anomalies—such as a sudden spike in return volume—so managers can intervene before the issue escalates. By providing actionable insights at a glance, the platform empowers staff to maintain consistent service levels.

AI‑Driven Slot Scheduling Improves Same‑Day Pickup Efficiency

Accenture’s May 2024 study revealed that automated BORIS operations cut labor costs per return by 20 %. (Accenture 2024)

AI‑driven slot scheduling predicts peak traffic and allocates pickup windows accordingly. Associates receive an automated schedule that balances demand across the day, preventing surges at specific counters.

When the system anticipates a high‑volume window, it can trigger additional staffing or re‑route orders to less busy counters. The net effect is a smoother flow, reduced wait times, and higher customer satisfaction.

Integration Foundations for POS and Warehouse Connectivity

Our Integration Foundation Sprint aligns POS, inventory, and fulfillment systems so that associates can see real‑time order status and inventory levels.

A unified API layer eliminates data silos, ensuring that a customer’s online order instantly updates the in‑store system. Associates can pull pick lists, confirm stock, and complete returns without switching between disparate applications.

This integration reduces context switching, cuts errors, and speeds up the entire BOPIS/BORIS lifecycle. It also provides a single source of truth for analytics, enabling managers to track performance accurately.

Automation Cuts Return Processing Costs

The Accenture report from May 2024 showed that automated BORIS operations cut labor costs per return by 20 %. (Accenture 2024)

Automation streamlines return authorizations by validating return eligibility against purchase history and fraud risk scores. Associates receive a clear status: approved, denied, or pending.

By eliminating manual checks, staff spend less time on paperwork and more time on in‑store tasks. The reduced labor cost translates into a direct savings of $1.50 per return, which scales dramatically with high return volumes.

Future Trends Shaping In‑Store Workflow Automation

PwC’s November 2024 study highlighted that retailers with automated BOPIS and BORIS workflows report a 22 % increase in overall customer satisfaction scores. (PwC 2024)

Emerging technologies such as edge computing, advanced AI routing, and hyper‑local inventory management promise even greater efficiency. Stores that adopt real‑time data streams and predictive analytics will unlock new levels of agility, allowing them to respond to customer demand in milliseconds.

Investing in these innovations now positions retailers to lead the next wave of omnichannel excellence.

FAQ

[Table: | Question | Answer | |----------|--------| | **How much labor can I save with automated pick lists?...]

Conclusion

Automating in‑store BOPIS and BORIS workflows is no longer optional; it is essential for meeting customer expectations and maintaining profitability. By integrating POS, inventory, and fulfillment systems, and by deploying real‑time visibility, queue prioritization, and AI‑driven scheduling, retailers can cut labor hours, reduce return processing times, and boost customer satisfaction.

If you are ready to transform your store operations, explore our AI Automation Services or connect with one of our experts. Reach out via the Contact page today.

Related Reading • Automating Return Authorization With AI Risk Scoring, SLAs, and Fraud Prevention

Meta Description Automate BOPIS and BORIS workflows, cut labor hours by 30 %, and reduce return time by 25 %—boost efficiency and customer satisfaction.

Illustrations

!BOPIS Workflow Diagram *Figure 1: End‑to‑end BOPIS workflow from online order to in‑store pickup.*

!Return Processing Flowchart *Figure 2: Automated BORIS return processing flow.*

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