Intelligent In-Store Picking Solution

Pickers work under time pressure, often in congested aisles, trying to find look‑alike SKUs, capture weights and expiry dates, and manage substitutions - all while avoiding errors that drive complaints, refunds, and rework.

Smart data capture and guided workflows help pickers move quickly without cutting corners -reducing missed scans, duplicates, and mis‑picks, so you can increase throughput without sacrificing customer experience.

While Scandit cannot fix inventory records directly, it makes it faster and more reliable for pickers to confirm the correct item when it is on shelf and to identify exceptions, feeding better data back into store operations.

By improving product correctness and freshness compliance and streamlining exception handling, the solution reduces costly substitutions, complaints, and refunds, which improves customer satisfaction and repeat orders.

Retailers typically see around a 20–22% increase in units picked per hour, enabling more orders to be fulfilled with the same labor hours or maintaining volume with fewer hours.

No. Scandit’s picking solution runs on existing smart devices (company‑issued or BYOD), so you can avoid investing in new hardware and let associates work on devices they already know.

Multi‑barcode scanning with AR overlays helps pickers quickly identify the correct item among look‑alikes and variants, while guided tote placement ensures products go into the right order every time.

Yes. The solution automatically captures chargeable attributes such as weight and expiry dates at the point of pick, reducing manual entry errors, over/under‑charging, and freshness‑related complaints.

Guided, intuitive workflows reduce cognitive load so new associates can contribute from day one - and reach the same speed and accuracy as experienced staff much faster than with manual processes.

Scandit embeds directly into your existing fulfillment app and workflows. A typical pilot is delivered in about four weeks, with no complex integration or large internal IT resources required.