How FieldAssist can Assist you in Achieving the “Perfect Store”

The perfect “Perfect Store”

Achieving the Perfect Store can seem like a herculean task. There are endless variables to account for, and making them all fall into the right place at the right time can be a challenge. All this is further amplified by cutthroat competition and wafer-thin margins, not to mention the importance of product quality.

Moreover, customer preferences are changing. Consumer loyalty no longer means what it once did. No matter how many celebrities you flaunt in your ads, today’s discerning consumer is much smarter – and has no shortage of choices.

In our previous article, we discussed the concept of “Perfect Store” for the CPG industry. Today let’s look at how FieldAssist enables brands in achieving the Perfect Store on the ground.

Flexible and Personalized: Create your Own Perfect Store Strategy

Not all Perfect Stores are created equal. At FieldAssist, we appreciate that not all brands are the same. Different brands have different strategies that are best suited for their specific goals, objectives, and market presence.

Even for the same brand, priorities may keep changing with time. The perfect “Perfect Store” system should allow brands to take control of their stores – and make them “Perfect” according to their business criteria and needs. For example, if you wish to achieve a sales target for a particular suite of products for a particular region, the Perfect Store algorithm can recommend everything you need to do to achieve your target, from in store execution like product placement to suggesting order quantity to tailored promotions.

In other words, FieldAssist allows you to define your own Perfect Store yourself. No cookie-cutter approaches. No generic solutions. No one-size-fits-all brute-force techniques. You define what you want your Perfect Store to look like, based on location, sales, targets, and other parameters.

Automated Perfect Store Strategy by FieldAssist

Automated Perfect Store Strategy by FieldAssist

• In-store activities like branding and merchandising, product placement and assortment, etc. 
• Recommending range of products accounting for up-selling, cross-selling and stock levels
• Understanding market and consumer preferences based on past data and behavioral patterns

FieldAssist’s Perfect Store solution backed by enterprise-ready AI, along with the most advanced Image Recognition and Machine Learning technologies, calculates all of the above automatically. It recommends simple, easy-to-follow actionalables to your sales reps for every store on the basis of the parameters and targets defined by you at the regional level, outlet level, product level, and so on. Parameters such as store inventory, store sales, customer preferences, store layout/planogram are calculated automatically or can also be prescribed manually if needed. By automating task calculations, adherence, and management, brands can efficiently achieve their Perfect Store criteria, ensuring consistent execution and monitoring.  

Tasks Simplified

Based on your criteria for the Perfect Store, FieldAsisst’s smart enterprise-ready AI algorithms recommend quick and simplified tasks for users to carry out to achieve that score. These tasks are straightforward and can be performed immediately, leading to instant momentum towards achieving goals. Moreover, gamification techniques are embedded in these tasks and their fulfillment, further providing users with a sense of achievement and motivation.

For example, a typical set of tasks can include ordering certain quantities of a product, or placing products at certain places to achieve planogram adherence, getting a market pulse by filling a survey, and so on. All these simple tasks are backed by business driven advanced AI algorithms without even revealing the complexity to the sales reps.

Image Recognition

FieldAssist’s state-of-the-art Image Recognition solution enables users to simply click a photo of the relevant stock, and then obtain insights such as SKU count, assortment shares, share of shelf (both yours and the competitors’), planogram adherence, promotional compliance, and other metrics. Further, the intelligent algorithm provides recommendations and actionable insights on how to increase visibility and revenue from that particular outlet. All this from just a photo taken from your mobile.

For example, based on your photo of a shelf, the algorithm can recommend better product placements, or can place orders for the correct quantity when the available SKU count will run out. It can recommend which schemes to run for a particular region based on the purchasing capacity of customers from that area, and so on.

FieldAsisst’s Image Recognition module is capable of delivering an industry-leading 90% accuracy in GT. It skyrockets compliance, eliminates the need for time-consuming manual audits, and keeps your intel up-to-date at all times. All this enables you to achieve Perfect Store status for all your outlets quickly and efficiently – with minimum effort.