RETAIL INTELLIGENCE
Sales reports show what was bought. iNteract helps retailers explore a different part of the shopping journey: what customers ask and what they want to know before they make a decision.
Retail Intelligence is the process of turning customer interactions and retail information into insight a business can use. It connects what the retailer can observe with the decisions its teams need to make about products, information, merchandising and customer experience.
iNteract's particular focus is the period before checkout. A product question or a supported interaction can add context to the sales, stock and customer information a retailer already holds. It does not replace those sources or automatically connect the whole journey before, during and after purchase.
The aim is to help retail teams investigate useful questions, understand the available evidence and decide what deserves attention.
Retailers already use sales, stock and loyalty information to understand their business. But those systems do not always show what shoppers were considering at the shelf, what information they were looking for or which questions they could not answer.
That missing piece of the story is what we call the retail blind spot.
By making product assistance available through QR codes, iNteract creates opportunities to learn from the interactions shoppers choose to have.
Sales transactions, revenue, basket size and inventory movement describe important business activity. Loyalty data can add information about participating customers, while store traffic gives another view of visits to a location.
Those measures do not, on their own, explain which alternatives a shopper considered, what they researched, which information was missing or whether an unanswered question made them hesitate. A person can spend time evaluating a product and leave without appearing in a purchase record.
Online tools may record product views, searches, comparisons and time spent. Physical-store data depends on the tools in use. The opportunity is to add relevant shelf-level context, not to claim that every online retailer sees everything or that every physical retailer sees nothing.
The Point of Sale is where a transaction is recorded. The Point of Decision is the moment a shopper is still choosing, comparing or looking for information.
Point-of-Decision Intelligence means learning from the questions and interactions that happen at that stage of the shopping journey.
It does not tell a retailer everything a shopper thought or prove why a particular purchase was made. It adds another source of information to the business.
The Point of Decision can include discovering a product, comparing an alternative, considering a price or promotion, looking for information, choosing to buy, postponing the purchase or walking away.
For the retailer, those decisions sit behind important commercial concerns: full-price sell-through, markdown pressure, gross margin, inventory movement and customer satisfaction. Understanding information needs may help teams investigate those concerns alongside their existing evidence. It is not a claim that iNteract has measured or improved any of those outcomes.
Retail Intelligence starts with the questions the business wants to understand. Supported interactions may help teams explore:
A question about an alternative is not the same as a verified comparison event. A question about an offer does not prove that the offer influenced a purchase. Understanding that difference helps teams use the information responsibly.
The iNteract platform includes retailer-facing analytics and management tools designed to bring relevant shopper interaction information together in an accessible view.
In a guided demonstration, retailers can see the currently supported reporting and management functions, discuss what the information means and consider which insights could help their teams.
Consider which products generate questions, whether those questions point to information gaps and whether shelf layouts or product placement deserve a closer look. Engagement can add context to sales and stock information when teams assess a change.
Repeated requests can reveal where descriptions, specifications, labels, buying information or signs may need to be clearer. The same findings can help store teams identify the information they need when assisting customers.
Questions about an offer can help a team review how it is explained and what customers want to understand. Supported campaign engagement may inform future marketing decisions. Price sensitivity, promotional effectiveness and sales attribution require additional evidence; they cannot be read directly from a scan.
Review the help shoppers seek alongside the conditions in the store and the experience of employees. The information may suggest a clearer shelf message, better access to product details or a topic to discuss with store teams.
Use the available patterns to identify questions worth investigating, then consider them with sales, stock, store and customer information. Retail Intelligence is intended to support experienced retail judgment, not replace it or guarantee an increase in conversion.
Reporting is useful when a team understands what has actually been recorded. A product question, an opened experience and a supported engagement event are different observations. They should not be treated as interchangeable measures of customer intent.
In a demonstration, discuss the currently available product, store and campaign views, the period covered and how consistently the information is captured. Comparison events, time spent, engagement paths, chosen KPIs and exports need their exact scope confirmed before they become part of an evaluation.
Products receiving many interactions but fewer recorded purchases may be a useful subject for investigation. Establishing that relationship requires suitable transaction information and a valid way to connect it to the interaction data. The initial browser-based experience does not require a POS connection and does not automatically establish that attribution.
Retailers and brands have long used stores to share product messages and promotions. In the future, AI-powered engagement may offer more relevant ways to connect those messages to the questions shoppers ask at the shelf.
For iNteract, future in-store Retail Media is a potential extension of the engagement and intelligence platform. It remains a strategic direction rather than a commercially proven advertising service.
Retail Media connects brands with shoppers within a retailer's shopping environment. For physical stores, the opportunity is to provide useful, relevant information at the point where a person is considering a product, rather than simply add more advertising.
Possible future experiences include product education, buying guides and comparisons, demonstrations and tutorials, complementary product recommendations, contextual offers and explanations of a brand's products or innovations. Each would depend on approved content, supported functions and the arrangement between the retailer and brand. These are possible directions, not a catalogue of services already operating.
A supplier-funded campaign could become one future commercial model. It would need clear retailer and supplier responsibilities, suitable shopper information and agreed measurement before any promise of value or revenue could be made.
An in-store media opportunity needs more than a screen or a promotional message. It needs a way for a shopper to reach relevant content, a useful experience at the shelf and an understanding of which supported interactions can be measured.
The proposed connection is straightforward: the shopper scans and engages, the retailer reviews the supported interaction information, and the retailer and any participating brand consider what could improve the experience. Providing content is not, by itself, proof that a campaign influenced a sale.
That is why engagement and Retail Intelligence come first in iNteract's direction. Brand access, campaign reporting and commercial media arrangements would require separate validation and agreement.
Explore more useful in-store engagement and information for merchandising, marketing and customer-experience decisions. Future media opportunities could also create a basis for supplier collaboration and new commercial discussions.
Explore ways to educate shoppers, explain product differences and provide relevant information close to a purchase decision. Future access to engagement insights or campaign measures would depend on agreed reporting, permissions and validated functionality.
Find relevant information when it is needed, with help that supports a clearer product choice. The purpose is to make the shopping experience more useful, rather than interrupt it with unrelated advertising.
The longer-term direction brings together richer AI-powered assistance, a better understanding of Point-of-Decision interactions, more useful reporting and stronger collaboration between retailers and suppliers.
Any future Retail Media programme should build on a useful shopper experience and the retailer's own priorities. A focused evaluation can help establish what is supported today and which future ideas are worth exploring. No commercial media service, campaign result or fixed delivery date is promised.