Beehive for retail
Reduce Opex.
Reduce customer service volatility.
Stem fraud and loss.
Do it all with one solution
Retail margins are typically very tight, making opportunities to lift staff productivity, increase customer service levels and cut losses through theft or fraud extremely valuable.
Beehive's AI powered analytics platform utilizes video and POS data to uncover valuable insights. This enables retailers to minimize losses from theft and fraud, optimize staffing schedules, and deliver exceptional customer experiences
Beehive applies machine learning and advanced analytics to front of house operations
Our highly secure hybrid on-premise/cloud platform allows remote management of our software across hundreds or thousands of sites.
In-person checkout optimisation for loyalty-focused retailers
Retailers are continously grappling with the high costs of staffing checkout areas and customer service volatility impacting loyalty & repeat sales
Make big improvements in your operations using Beehive, for example:
• Lower cost staffing with no service impact
• Same cost staffing with improved service
• Reduce queue abandonment sisk / lost sales
• Shift from self checkout to assisted checkout staffing at the lowest cost
To achieve this, Beehive:
- Measures front of house customer & staff activity
- Enriches your schedules to deliver a target service level e.g. 80% customers serviced in < 3 minutes
- Enables all levels of your team to diagnose reasons for service level and overstaffing/spending issues
Adaptive Loss Prevetion - Registers
Even though CCTV is collecting hours of footage every day, how can your loss prevention teams review it all to identify fraud incidents?
Beehive combines automated video analysis with Point of Sale (PoS) data and AI smarts to surface high risk transactions, such as refunds and discounts, for review. This unique capability allows the system to isolate:
- Refunds or discounts with no customer
- Missing supervisors for large refunds and discounts
- Sweethearting (i.e. actions that look like a product being scanned, but which do not result in a PoS entry)
During review, the full transaction details are presented with video of the register at the time of the transaction, greatly simplifying identification of fraud and theft. Once theft is identified, other transactions by the staff member can be checked to gather evidence and establish longer term behavior patterns.
Ataptive Loss prevention at self checkout
Customer theft is a big contributor to shrinkage, making effective action on self-checkout discrepancies a key focus for many retailers.
Beehive compares a feed from your Point of Sale (PoS) system with vision from an overhead camera above the scanner to identify issues at the checkout, such as:
- Scanning a product that doesn’t result in a corresponding PoS record
- Swapping barcodes to scan a cheaper product
Discrepancies are prioritized by differences in price and forwarded immediately as mobile app alerts to the supervisor, who can confirm the product was correctly identified and intervene with full knowledge of the substituted or entirely un-scanned item.
Beehive automatically learns to detect your products including new products and changes to packaging.
Covert scheduling for loss prevention
Maximize your loss prevention efforts with intelligent covert scheduling based on expected high risk or repeat offender visit times and locations.
Deciding which retail stores loss prevention coverts should visit each day is often left to chance or based on recent thefts. Until recently, deciding how to position your coverts to be in stores where repeat offenders visit has been near-impossible without massive investment in covert teams and, typically, staff without loss prevention training can’t approach these customers.
Beehive is changing this paradigm, providing scheduling of covert teams based on intelligent review of patterns and behavior - approximately tripling the times coverts are in store when a high risk or repeat offender arrives.
Sales & marketing optimization
Go beyond standard customer arrival and conversion rate analytics and get a deeper understanding of sales and marketing effects, customer retention and loyalty.
Retailers typically assess strengths and weaknesses in their sales and marketing mix using customer arrival and conversion rate analytics. But with attacks on physical retailer revenue from online alternatives, it’s becoming ever more vital to focus on customer retention and loyalty in addition to growth.
Beehive benchmarks sales and marketing performance such as customer arrivals, conversion rates and yield. But it also adds insight from rich data gathering at the register to help understand the impacts of customer service issues or sub-optimal staff scheduling.
- Gain a clear view of network, regional and store key sales performance
- Identify and resolve issues with stores that are underperforming
- Quantify the performance of all sales and marketing efforts
Cleaning & public liability risk optimization
Public liability insurance claims and cleaning are the two largest shopping center operating expenses.
To mitigate the risk of slip and fall and to meet legislation, cleaning is typically undertaken on time based rotations. It’s not time, however, that increases the likelihood of spillage and resulting slips or falls - it’s space usage.
Beehive monitors shopping center usage patterns to create cleaning schedules that reflect the reality of space usage, redistributing cleaning efforts to when and where they’re needed and significantly reducing injuries and the resulting claims.
