In-store vision analytics using StoreScript
No more sensors/Wi Fi/Bluetooth pairing with customers phones. All analytics are derived just by analyzing a feed from CCTV camera.
A solution which predicts footfall count before the day begins by using machine learning technology. Deep learning technology analyzes the video feeds coming through the CCTV cameras installed at the entry points and within the store and gives real time count analysis of people entering and leaving store 24 x 7 with their demographics like gender and age brackets. Dashboards of StoreScript illustrate where customers are spending more time, which corners are unnoticed and which sections are less visited. Confused customers are detected and the nearest sales executive is alerted on a smart phone to attend the customer. StoreScript’s Face recognition technology helps in identifying loyal customers so that the store manager can provide them personalised services.
StoreScript helps to take strategic decisions on a click, such as:
- the staffing pattern with customer flow
- Know peak opportunities for sales
- Identify seasonal trends
- Asses marketing campaigns
In-store retail analytics are crucial to business owners to know what's happening in their own stores so they can strategize and understand effectiveness of marketing campaigns and study customer preferences. Our StoreScript© In-Store Vision Analytics solution help capture Proximity Traffic, Footfall, Age and Clothing Category of the visiting customers. System has the intelligence to auto exclude staff, security and children.
Shopper’s behavioral insights
Analyzing how and where customers are spending time within the store indicates 'Hot' and 'Cold' zones on the shop floor. These patterns pinpoint optimal locations for high margin items that retailers want to push. Understanding the customer movement will highlight product exposure levels, engagement, and navigational routes throughout the store through their journey tracking. Confused customers could be identified at real time and attended to and optimal staff strength can be recommended too.
VOC & Monitoring Queue / Billing counters
It is important for a retailer to capture customer experience inside the store or while browsing specific merchandise. Our solution captures emotion at specific points along with gestures to give Voice of Customer. In addition to this, we provide mechanisms to ensure there is a faster checkout at POS counters through Queue Management and auto-monitor to detect any unmanned counters during peak/off-peak hours.
Monitoring of Shelves and Aisles
Visiting customers expect all shelves and racks to be full of merchandise and it can displease customers if they find empty racks indicating leftover merchandise and that can influence their buying decisions. It is not always manually possible to recognise such empty racks as soon as more and more customers buy. Our solutions automates the process and auto detects empty shelves or objects lying around in the aisle. Also the solution can capture and provide Visit Vs Conversion category wise analysis.
It is crucial to predict sales by customer segments. Integrate behaviourial and transactional information of customers to strategize a customer centric promotion plan.
Observe consumers spending pattern and consider a retailer's share of wallet to identify price elasticity and know what shoppers are willing to pay.
Without predicting response to promotions by customer segment might lead to financial losses.
Assists online shoppers to have conversations and interactions with nearest store representatives to resolve their queries through chat, exchange of videos/images and uses technology of Natural Language Processing and Artificial Intelligence with intention of increasing the conversions from online channels. Shoppers have higher confidence before online purchase resulting in less returns post purchase.
Solution helps generate leads using Interactive Video Screens and is highly effective in places with high footfall (airports, malls, entertainment zones). Potential customers can interact and learn specifics about the displayed content & can get product purchase URL on their phones through QR codes / SMS or email. System captures analytics about the interacting person and also captures improvement suggestions if provided. Any conversions through this channel can be tracked & comparative analytics across various screens at multiple locations is made available.
Too many retailers are still making these decisions with a combination of spreadsheets and hours of human effort hence prone for errors. Faster decision making is possible only with interactive visualization. It facilitates business users in merchandising, marketing and category management can make quicker choices as well as empowers them with real time data.