OVERVIEW

Product kits

Detail

STAFF CARD

nRTLS-ETAG-01

$

Detail

Detail

ASSET TAGS

nRTLS-ETAG-02

$

Detail

Detail

Base station

nRTLS-BASE-02

$

Detail

Detail

EDGE COMPUTER

nRTLS-LSVR-02

$

Detail

Product details

SENSOR TAGS

• Attached in the shopping cart/basket.
• Get the reatime location of the cart/basket in the retail store and bi-direct communicate with the system.
• The location accuracy upto 10cm (normally is below 0.5m).
• Using rechargeable battery, monthly or quarterly charging.

STAFF CARD

• Staff wear the card.
• Get the reatime location of the card in the factory and bi-direct communicate with the system.
• The location accuracy upto 10cm (normally is below 0.5m).
• Using rechargeable battery, monthly or quarterly charging.

ASSET TAG

• Attached in the asset.
• Trigger once the tag is picked up or moved (to the dressing room…).
• Get the reatime location of the tag in the retail store and bi-direct communicate with the system.
• The location accuracy upto 10cm (normally is below 0.5m)
• Using rechargeable battery, monthly or quarterly charging.

BASE STATION

• To locate the tag in the managed area and synchronize with server.
• 4 base station cover the area 30m x 30m, scale up by adding more base station.
• Powered by adaptor.

EDGE COMPUTER

• To control the communication between server and device (tags/cards).
• To calculate the position of the tag in the retail store and send to the cloud server.
• Synchronize data with the cloud server.

Tích hợp với máy POS

• Get the list of goods which shoppers buy in the retail store.
• Synchronize data with the i-Retail cloud server.

DASH BOARD

The interactive dashboard is accessible through the Web or mobile application, provides access to powerful visual analytics to explore the data elaborated by NHTC.

 

i-Retail collect data from sensors and store in cloud server to analyze in real-time to extract relevant indicators on the in-store customers' behavior, including movement patterns, shoppers interaction and queue analytics.

The interactive dashboard is accessible through the Web or mobile application, provides access to powerful visual analytics to explore the data elaborated by i-Retail.

It provides a concise visual summary on the store analytics computed during the time period. It allows to understand the most recurrent customers in-store behavior, and to identify how/where to improve store operations or management.

 

i-Retail solution allows the retailers to create personalized shopping experiences inside the store, target a specific customers. Engage shoppers to increase the foot traffic in the store. A/B testing techniques can be used to understand the effectiveness of different engagement and marketing strategies.

FEATURES

Interior Analytics

i-Retail allows retailers to understand how shoppers move inside the store.

• The hot areas/departments/products
• The most recurrent shopping journeys
• How long shoppers remain in specific area

Staffing Optimisation

i-Retail allow to adjust number of staffs within the store based on shoppers volume. Based on shoppers presence, it becomes possible to:

• reposition sales associates across departments or locations, based on customers presence in the store
• re-allocate shifts to align with traffic patterns to improve service levels and maximize conversion, sales, and profit
• receive real-time alerts when a traffic peak is detected

Personalized In-Store Experience

i-Retail engage shoppers while in-store, delivering personalized experiences and a better service:

• Step-by-step navigation
• Optimal Picker routes (smart shopping list)
• Personalized, location based offers and coupons

Shoppers Interactions

The understanding of where shoppers spend their time in the store, compared to where sales associates do, provide key insights on how which areas are unserved and on how to optimize store operations.

The understanding of what product shoppers usually pick up and try on, in order to make better decisions in terms of what to stock and what to put where.

Realtime Alert

Store operations need real-time notifications in order to maximize effectiveness and enable real-time store management strategies. This includes:

• Opening/closing checkout counters depending on the customers approaching the checkout barrier
• Straightening out fitting rooms after shopper use
• Re-allocating staff to busier departments or store areas

Queue Analytics

Queue analytics it is possible to:

• Prevent in real-time bottlenecks at checkout counters and always deliver the best possible checkout experience
• Support the dimensioning and scheduling of staffing so to properly handle traffic peaks
• Obtain measurable feedback on store layout and customer experience

POS integration

Get the information from POS to understand how long shoppers remain at the specific product shelves and whether it effect to the shopping decision.

Analyze the shopping behavior and habit.

SUMMARY

Technology is already helping retailers build the store of the future, offline stores will have access to all of the same key data and analytics as e-commerce retailers.

Big data and analytics now allow retailers to create more targeted shopping experiences and tailor stores to the specific needs of their customers.