Pricing, promotions, inventory, and shelf compliance across stores, e-commerce, and marketplace channels.
Transform your physical and omnichannel retail operations with data driven insights covering pricing, promotions, inventory, customer behavior, and shelf compliance across stores and channels.
Retail has become an omnichannel reality. Customers expect seamless experiences whether they shop in store, online, or through a mobile app. Yet most retailers still operate with disconnected data silos. Store level decisions are made without online intelligence. E commerce teams ignore in store pricing gaps. Supply chain plans miss real demand signals from the checkout counter. We help retailers collect, structure, and analyze data from every touchpoint including point of sale systems, loyalty programs, store footfall counters, shelf sensors, competitor store audits, e commerce platforms, and marketplace listings.
Our retail data solutions cover the full retail ecosystem. We track in store and online pricing compliance to protect margins across channels. We monitor promotions at shelf level and digital circulars to measure true effectiveness. We collect customer insights from transaction data, feedback forms, and social listening to understand what drives loyalty. We provide inventory and supply chain intelligence to prevent stockouts and optimize replenishment. We deliver omnichannel visibility so you know how online browsing converts to in store purchases. We analyze market trends and consumer behavior including footfall patterns, dwell time, and basket composition by store format. We monitor nutritional and compliance data to meet regulatory standards on every shelf. We power digital shelf and planogram analytics to ensure planograms are executed correctly across hundreds of stores. We conduct competitor and market research through systematic store checks and price audits. And we track logistics and delivery intelligence for click and collect, ship from store, and same day delivery models.
We build custom retail intelligence pipelines based on your store footprint, product categories, competitor set, geographic coverage, and refresh frequency from daily to weekly. Delivery options include interactive dashboards, automated store audit reports, shelf compliance heatmaps, and API feeds into your retail execution or category management systems. With our data, retailers reduce pricing discrepancies across channels, improve shelf availability, increase promotion ROI, and make store level decisions backed by real intelligence.
Pricing inconsistency is one of the fastest ways to lose customer trust. When a shopper sees one price online and a different price in store, or when the same product is priced differently across two store locations, confusion follows. In omnichannel retail, where customers check prices on their phones while standing in an aisle, pricing compliance has become a competitive necessity. We help retailers collect and analyze pricing data from multiple sources including physical store shelf labels, POS systems, e commerce websites, marketplace listings, competitor store audits, and promotional circulars.
Our product pricing compliance solutions track listed price, discounted price, per unit pricing, clearance markdowns, and bundle pricing across every sales channel. We compare these against your authorized price bands including MSRP, MAP, floor price, and channel specific rules. For example, we can alert you when a regional store manager has marked down a premium SKU without approval, causing channel conflict. We can detect that your e commerce price is 15 percent higher than your in store price for the same item, driving showrooming behavior where customers view in store then buy elsewhere. We can also flag that a competitor's store across the street is pricing a competing product 10 percent lower, giving your store teams real time intelligence to respond with targeted offers or signage.
We build custom pricing compliance pipelines based on your product catalog, authorized price bands by SKU, store locations, e commerce channels, competitor set, and audit frequency from daily to weekly. Delivery options include compliance dashboards, channel price variance heatmaps, automated store audit checklists for field teams, and API feeds into your pricing governance or retail execution system. With our data, category managers enforce pricing rules across hundreds of locations. Field teams conduct faster, more accurate store audits. Marketing leaders protect brand positioning by eliminating rogue discounting. And customers trust your prices, no matter which channel they choose.
Customers share their opinions everywhere. They write reviews on retailer websites, post complaints on Twitter, ask questions in Reddit threads, upload unboxing videos on TikTok, and leave detailed feedback on Google Maps and Yelp. This customer generated data is publicly available and rich with insights, but it exists in unstructured formats across hundreds of sources. We help retailers collect, structure, and analyze this data at scale using automated extraction engines and AI driven natural language processing. We do not run surveys or manage loyalty programs. We extract what customers are already saying out loud.
Our customer insight and feedback solutions extract review text, star ratings, helpfulness votes, reviewer images, timestamps, and verified purchase badges from retail platforms like Walmart, Target, Kroger, and Carrefour. We capture social media conversations, comment threads, and branded hashtags across Twitter, Reddit, Instagram, and Facebook. We also pull customer questions and answers from product listing pages and forum discussions. For example, we can extract 50,000 reviews for a specific product category across 15 retail websites, then analyze sentiment by attribute like price, quality, size, durability, and customer service. We can identify that negative feedback about "assembly difficulty" is driving one star reviews for a competitor while your product receives praise for "easy setup." We can also detect rising complaints about a specific ingredient or material before it becomes a mainstream issue.
We build custom customer insight pipelines based on your product catalog, competitor set, target retail platforms, social media channels, languages, and extraction frequency from daily to monthly. Delivery options include sentiment dashboards with attribute level breakdowns, emerging complaint alerts, competitive comparison matrices, and API feeds into your product or customer experience teams. With our data, retailers fix what customers actually complain about, benchmark satisfaction against competitors, and respond to shifting preferences in real time, all without running a single survey.
Consumer behavior changes constantly. A new diet trend emerges. A weather pattern shifts demand from cold brew to hot chocolate. A social media influencer drives sudden interest in an obscure ingredient. Retailers who rely on internal sales data alone see these shifts late, after competitors have already responded. We help retailers collect and analyze external market data including search query trends, product view patterns, out of stock signals, review attribute mentions, and social media conversations. This extracted intelligence reveals what customers are looking for, what they cannot find, and where their preferences are moving before those changes show up in your own transaction data.
Our market trend and consumer behaviour solutions extract category level demand signals from retail search bars, auto suggest results, and related product clicks. We analyze temporal patterns in review volume and sentiment to detect rising interest in specific attributes. We track social media discussions by hashtag, keyword, and product category to identify emerging trends at the earliest stage. For example, we can extract search data from a major retailer showing that "low sugar protein bars" queries have grown 200 percent in three months, signaling a category shift before competitors reformulate. We can detect that customer reviews mentioning "plastic free packaging" increased 150 percent year over year, giving you lead time to change suppliers. We can also surface that a specific ingredient like "ashwagandha" is suddenly appearing across supplement, beverage, and snack reviews, revealing cross category trend spillover.
We build custom market trend pipelines based on your product categories, target retail platforms, search data sources, social listening keywords, and extraction frequency from daily to weekly. Delivery options include trend velocity dashboards, emerging attribute heatmaps, seasonal demand calendars, and API feeds into your category management or product innovation teams. With our data, retailers launch products ahead of demand curves, adjust category assortments based on real search behavior, and stop chasing trends after they peak.
Logistics is a competitive battleground. Retailers promise two day shipping, free delivery over a threshold, or same day arrival. But what competitors actually deliver versus what they promise are often different. This gap represents both risk and opportunity. We help retailers collect and analyze publicly visible logistics data from e commerce checkout pages, delivery tracking interfaces, customer reviews that mention shipping experiences, and quick commerce app timelines. This extracted intelligence allows you to benchmark competitor delivery performance, identify unreliable logistics partners in specific regions, and optimize your own promises based on real market data.
Our logistics and delivery intelligence solutions extract estimated delivery times at the pin code or postal code level from competitor checkout flows. We monitor delivery fee structures including minimum order thresholds for free shipping, surge pricing during peak hours, and membership exclusive rates. We also extract customer reported delivery experiences from reviews and social media, including late arrivals, damaged goods, and missed delivery windows. For example, we can extract that a competitor promises two day shipping to a specific zip code but customer reviews consistently report four to five day actual delivery, giving you an advantage to highlight in your own marketing. We can detect that delivery fees for a competing retailer double after 6 PM in urban areas, pushing price sensitive customers to look elsewhere. We can also surface that a third party logistics provider used by multiple competitors has a sudden spike in "lost package" complaints in a specific region, allowing you to avoid that provider.
We build custom logistics intelligence pipelines based on your target geographies, competitor set, relevant retail platforms, delivery promise metrics, and extraction frequency from daily to weekly. Delivery options include delivery performance benchmark dashboards, shipping fee heatmaps by location and time, competitor promise versus reality gap reports, and API feeds into your competitive intelligence or logistics strategy teams. With our data, retailers set delivery promises that beat actual competitor performance, optimize free shipping thresholds based on real market benchmarks, and avoid logistics partners with documented reliability problems.
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