Digital Shelf
Management

Pin code level on-shelf availability is measured through e-Genie’s digital shelf management solution. It uses granular analysis that links inventory and sales data to specific store locations and corresponding pin codes to generate availability insights. The in-stock and out-of-stock status of products can be identified within each pin code to provide real-time visibility into availability.

Share of search measures how often a brand is organically searched for in comparison to the total number of competitor brand searches. On the other hand, share of voice is a measure of the visibility and advertising presence of a brand within a specific market as compared to competitors and includes social media mentions and paid and organic advertising. e-Genie’s digital shelf management automates share of search and share of voice calculations, but it can also be done manually. Calculating Share of Search:

• Identify specific keywords related to the brand and its direct competitors.
• Gather search volume data.
• Formula: Share of Search = (Brand’s Search Volume ÷ Total Industry Search Volume) X 100

Calculating Share of Voice:

• Define brand’s market by identifying relevant channels and the specific category, product, or service being analysed.
• Gather brand’s data for the chosen metric, like ad spend or search result visibility.
• Gather the same metrics data for all competitors within that market.
• Formula: [Brand’s Ad Spend ÷ (Brand’s Ad Spend + Total Competitor Ad Spend)] X 100

e-Genie’s digital shelf management system tracks organic product ranking across locations by leveraging:

• Keyword and product positioning in search engine results pages (SERPs).
• Location-wise ranking for assessing the number of products that are ranking in search results based on the user’s location.
• Search optimisation, which is assessed by tracking and analysing factors that influence organic search rankings.
• Monitoring ranking trends to track how the organic positions of products have evolved over time to identify factors that may contribute to the changes in performance.

Yes. The e-Genie digital shelf management system offers a optimisation tool for intelligence monitoring, which allows brands to track the pricing and promotional strategies, so their impact can be evaluated for planning counter strategies.

e-Genie’s digital shelf management system offers the Review Genie tool, which can be integrated with different review platforms to centralise product reviews. The tool uses AI-powered techniques to analyse review sentiment and classify them as neutral, positive, or negative. These techniques include natural language processing (NLP), machine learning (ML), deep learning (DL), and aspect-based sentiment analysis (ABSA).

Content score is a key metric on e-Genie’s digital shelf management system, which measures the effectiveness of a product listing by assessing its completeness, quality, and potential performance. Here is how content score can help optimise product listings:

• Well-structured, keyword-rich content is prioritised by search engines and e-commerce platforms. A higher content score means better ranking and discoverability.
• High-quality images, engaging titles, and positive reviews contribute to a higher content score, which can improve consideration rates.
• Detailed, accurate product information supports shoppers in informed decision-making, potentially leading to higher conversion rates.
• Clear, comprehensive content ensures accurate product expectations, which leads to fewer discrepancies and returns.
• High-quality listings ensure a seamless, informative shopping experience, which fosters satisfaction and trust, enhancing the overall customer experience.

e-Genie’s digital shelf management leverages AI to enhance different aspects of e-commerce advertising and management, offering features for diagnostics and action recommendations. How AI Supports Diagnostics:

• Provides data-driven insights.
• Intelligent data ingestion.
• Dark data transformation
• Prescriptive and predictive analytics.

How AI Supports Action Recommendations:

• Automating optimisation tasks within cross-platform ad campaigns.
• Intelligent management of campaign budgets and providing real-time insights into spending rate and remaining budget to support informed decision-making.
• AI-powered automated rule engines that facilitate dynamically adjustment of bids and budgets.
• AI-driven automatic audience segmentation and targeting.
• Generation of tailored copies, images, and other digital assets for personalizing content and customer journeys.
• AI-driven report generation for actionable insights into trends, individual keyword or product performance, and opportunities for the optimization of resource allocation and bids. Reports can be tailored to meet specific needs.

e-Genie digital shelf management integration with PIM:

• Seamless synchronisation of product data from the PIM system, which can be used as the reference master data.
• Content accuracy checks to highlight any mismatch in product data.
• Validating product data accuracy when new product data is added or existing product data is updated in the PIM system.

e-Genie digital shelf management integration with retail media stacks:

• Ad performance and retail media spends are contextualised with on-shelf availability and visibility data.
• Out of stock or poorly represented products at specific pin codes can be flagged as wated ad impressions to avoid wasted spend.
• Bidding, targeting, and creative strategies can be adjusted based on shelf presence, ratings, revies, or competitor activity.
• Creates a single source of truth that links PIM accuracy, shelf visibility, and media ROI.