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ParallelDots
IT Services and IT Consulting
Seattle, Washington 14,672 followers
ParallelDots enables FMCG companies to improve their retail execution with Image Recognition.
About us
ParallelDots is a leading image recognition solution provider for FMCG companies and retailers globally, helping them optimize their in-store execution and maximize their sales. ParallelDots has a proven model to deliver higher ROI than other retail Image Recognition solutions owing to its superior technology that is fast to set up and affordable to scale. More information on why ParallelDots is better than other solutions is available here - https://www.paralleldots.com/technology
- Website
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http://www.paralleldots.com
External link for ParallelDots
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Headquarters
- Seattle, Washington
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Deep Learning, image recognition, retail, fmcg, computer vision, retail execution, merchandising execution, product recognition, CPG, and consumer goods companies
Locations
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Primary
600 Stewart Street,
Suite 300 and 400
Seattle, Washington 98101, US
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Sector 51
Gurgaon, Haryana 122003, IN
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Korunní 2569/108 Czech Republic
Prague, 101 00, CZ
Employees at ParallelDots
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Radek Havlik
Partnerships Manager & Creative Strategist
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Henrique Bragança
General Manager at HB Corp | Go-to-Market Strategy Advisor at ParallelDots | Expanding Startups / Scale-ups / Tech Companies to Latin America |…
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Pooja Kheterpal
Finance | Strategy | FP&A
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Ankit Narayan Singh
Co-founder - ParallelDots | Unlocking Shelf KPIs for CPGs and Retailers
Updates
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🚀 Retail Execution: The Key to Winning in the Aisles 🛒 Retail execution is the backbone of customer satisfaction and sales growth. From proper product placement to ensuring accurate pricing and promotion alignment, it's a game-changer for retailers and CPGs. However, challenges like poor communication, stockouts, and inconsistent planogram compliance often stand in the way. Enter AI, and Computer Vision—transforming retail execution with real-time data collection, image recognition, and cloud-based platforms. These tools enable proactive monitoring, faster decision-making, and seamless collaboration between store teams and HQ. 💡 The results? Optimized operations, enhanced customer experiences, and a competitive edge in the market. Want to deep-dive into strategies, challenges, and technologies shaping the future of retail execution? Check out our latest blog for actionable insights! https://lnkd.in/gF9h46qK #retailexecution #imagrecognition #retailai #retailtechnology #retailinnovation #cpg #retail #blog #fmcg
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💡 Case Study: Read how a large confectionary brand improved its On-Shelf Availability (OSA) and Planogram compliance across their stores in the Indonesian market using ShelfWatch Image Recognition. To discover more and understand how you can achieve the same results, talk to our experts by scheduling a demo here: https://lnkd.in/gxWZJJUS #retailImageRecognition #retailexecution #imagerecognition #artificialintelligence #cpg #casestudy #retailtechnology #retailai
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ParallelDots reposted this
💡 Optimisez votre Retail Execution avec l'IA Lors de notre dernier webinar, nous avons exploré 3 cas d’usage concrets d’IA en retail execution avec des experts de ParallelDots, DATA2INNOV et Verteego, pour vous aider à réussir votre feuille de route IA : 1️⃣ Analyse des linéaires en temps réel grâce à la reconnaissance d’images 2️⃣ Optimisation des promotions chez Monoprix 3️⃣ Personnalisation de l’expérience client en magasin Chez Klee Commerce, nous vous accompagnons dans l’intégration réussie de solutions d'IA. Notre logiciel CRM FDV, Klee Sales, se connecte avec des technologies éprouvées pour vous faire gagner du temps et simplifier vos tâches quotidiennes. 🎯 Lisez notre article complet pour en savoir plus sur les avantages, les limites et les clés d’une intégration réussie de l’IA : https://lnkd.in/eUxVUcrG 📢 Et vous, quels défis aimeriez-vous relever grâce à l’IA en 2025 ? Partagez vos idées en commentaire ! 👇 Martin Dubuc Abdelhalim Rafrafi Jennifer Hussey
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Is exploring Retail Image Recognition (IR) technology on your radar in 2025?? Whether you're new to IR or have tried solutions in the past, this guide is for you! Dive into - ✅ The benefits of IR for CPG companies ✅ Common challenges to watch out for in terms of accuracy, setup time, ease of use, scalability and more.. ✅ Practical tips for selecting the perfect IR system that fits your business No jargon, no fluff—just actionable insights to help you make informed decisions. 💡 Ready to transform your retail strategy? Download the guide now and stay ahead of the curve. Click here: https://lnkd.in/gprbfpBp #CPG #RetailInnovation #ImageRecognition #BusinessGrowth #retailtechnology #cpg #artificialintelligence #retailai
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With the total Black Friday sales approaching $11 Billion this year, here are our favourite trends that shaped up CPG sales this holiday season. 🔥 Key takeaways: 🛍️ Meet your customers where they are: at shelf or at browsers. 🛒 Build shorter lengths of Paths to Purchase to enable easy shopping experience. 📊 Leverage real-time in-store and online data to bridge omni channel gaps. Where did you shop this Black Friday? Tell us in the comments below. #blackfriday #retailsales #shoppingtrends #trends #imagerecognition #retail #cpg #holidayshopping
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Here is an interesting case study on how Japan’s leading beverage brand adopted ShelfWatch Image Recognition solution to access real-time retail execution data, reduce store visit time and improve their overall retail execution performance across Central and Western Europe. Have questions? Schedule a call with one of our IR experts. DM us or click here: https://lnkd.in/gxWZJJUS #imagerecognition #retailexecution #casestudy #usecase #retailtechnology #cpg #retailinnovation #artificialintelligence #sales #fmcg
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On-shelf availability (OSA) is a critical factor for both customers and retailers. When shelves are empty, customers leave disappointed, and businesses miss out on potential revenue. Achieving optimal OSA is a delicate balance—maximizing profits while managing the service costs required to maintain it. Striking this balance is key to driving satisfaction and sustainable growth. Improve On-Shelf Availability with ShelfWatch Image Recognition platform. Great realtime shelf data and execution insights within minutes. Discover more: https://lnkd.in/dvv8tEV3 #retailimagerecognition #artificialintelligence #retailinnovation #retailtechnology #retailai #retailexecution #shelfwatch #imagerecognition
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💡 Image Recognition technology has the potential to significantly enhance field operations by reducing average visit times by approximately 30%. This time-saving efficiency enables field representatives to complete more visits while improving in-store execution. Additionally, the ability to capture an entire product category during a single visit provides category managers with valuable, comprehensive store data to unlock its full potential. As a cutting-edge technology, Image Recognition continues to advance with improvements in AI and mobile computing power, making it an increasingly attractive solution for entrepreneurs and businesses alike. 🚀 🚀 Since this technology directly impacts both the bottom line (💰 cost savings💰) and top line ( 📈 revenue growth 📈 ), choosing the right vendor is critical to ensure a successful deployment. However, the success of such projects hinges on addressing key factors such as technology, services, and change management. Below are 10 essential considerations when selecting an Image Recognition vendor: 1️⃣ Validated cases: Select vendors with a demonstrated history of success in your industry or vertical. 2️⃣ Technology: Beware of vendors claiming to use advanced technology but relying on manual processes, such as outsourced labor in emerging markets. 3️⃣ Accuracy: Ensure accuracy rates exceed 95%, as human accuracy is typically around 70%. 4️⃣ Speed: Results should be delivered to field representatives in near real-time to facilitate actionable improvements in store execution. 5️⃣ Scalability: The solution must handle thousands of SKUs across thousands of stores and representatives. 6️⃣ KPIs: The system should offer standard KPIs along with the flexibility to create custom performance scores. 7️⃣ Reporting: Expect standard reporting capabilities with options for customizable views to meet your specific needs. 8️⃣ Integration: The vendor should provide an open API to seamlessly integrate with legacy systems. 9️⃣ Standalone App: The solution should include a robust standalone app with features for store visits, and access to calculated KPIs and reports. 🔟 Deployment: Project setup time can severely impact the usability and ROI of the solution, hence choosing a vendor that offers reasonable setup and deployment time is the key. By focusing on these criteria, businesses can ensure a successful Image Recognition implementation that drives efficiency, enhances store execution, and supports strategic decision-making. 🙌 To learn more, simply DM us or reach out to us here: https://lnkd.in/gxWZJJUS #imagerecognition #artificialintelligence #retailinnovation #retailexecution #retailai #retailtechnology #cpg #computervision #tips
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What happened when a leading packaged food and confectionary company used ShelfWatch IR? On a high level, they, ✅ Minimised errors in shelf data; OSA, Share of Shelf along with Planogram, Pricing and Promotional compliance ✅ Reduced their store audit time and costs with automated audits ✅ Improved their retail execution performance and sales at per-store level For more details on how ShelfWatch works and how you can achieve similar results, click here: https://lnkd.in/dvv8tEV3 #casestudy #imagerecognition #artificialintelligence #retailai #retailinnovation #retailtechnology #shelfwatch #cpg