Getting a read on in-store merchandising is one of the more confounding activities for CPG brand marketers. Answers to questions such as “was my promotional display put up or not?”, to “did they cut in my new item on the day and time promised?”, or even “was the promoted price point that I funded actually reflected at the shelf?” are hard to pinpoint. Your choices today are not so great – either pay a retail merchandising crew to walk a set of stores and capture data in a handheld device (expensive and error prone), or interpret a feed of syndicated data (delayed by 4 weeks and projected from a limited sample with few causal variables). Either way, you can’t get answers to these critical questions in the way you want it, when you need it. And the data you get certainly won’t allow you to “see” what’s happening in the store.
Enter Store Eyes. The vision for this early stage company is pretty cool, and very ambitious: Arm retail stores with a “Mobile Capture Unit”, or MCU, that is walked down every aisle once a day. As the MCU makes its way throughout the store, a set of cameras builds a 360 photographic image of all shelf settings. Think Google Street View, but in a grocery store. These images are then searchable and viewable by end-user subscribers to the Store Eyes service. In addition, the MCU has a handheld scanner that the operator uses to overlay pricing on promotional displays, shippers, and perhaps even a set of predefined staple items. Data is fed into an on-board PC, sent via Wi-fi to a server in the back of the store, then aggregated across all stores in a central data warehouse.
If the Store Eyes team is able to execute against their plan, the business implications are pretty compelling. For retailers, a new, potentially valuable revenue stream of “digital gold” will flow out to the vendor community. Brand and sales folks will have daily views into detailed merchandising and compliance data and images. Any mystery surrounding display, pricing, or merchandising commitments will be a thing of the past.
I see a few issues that the Store Eyes team will need to iron out before this business really takes off:
1. Business model — the unit cost for each MCU has got to be pretty substantial, and someone has to finance it. If retailers are expected to invest in or lease the systems, that could present a pretty big drain on cash flow. To counter that, if manufacturers are lined up to subscribe to the service, then the business case becomes a lot more appealing.
2. Legacy behavior — Store Eyes exposes all the good and the bad that is going on inside the four walls of the store. Some retailers benefit from ambiguity by not complying with promotional and merchandising plans. Exposing non-compliance may be somewhat threatening to the old-guard retailers. In this case, TMI (too much information) may be bad business.
3. Network scale — as with any in-store measurement program, the economic value is a byproduct of the network. The more retailers and stores that are capturing Store Eyes data, the more valuable the service is to subscribers of the service. The reverse of this is true as well.
That all said, I really like the vision and innovation that Store Eyes is founded on. I hope to see these guys succeed and bring a new, potentially disruptive technology to the industry.