FMCG manufacturers and distributors work with data from multiple sources. CRM systems show sales dynamics and customer relationships, merchandiser reports show shelf conditions at points of sale, analytics dashboards show financial metrics. But this data is often disconnected. A manager sees revenue decline in a region but can’t quickly understand the cause: is it an …
Why FMCG Companies Need to Integrate Shelf Audits with CRM and BI Read More »
FMCG manufacturers, especially beverage producers, invest heavily in trade equipment: branded coolers for drinks, display cases for tobacco products, cabinets for pharmaceutical goods. Companies install this equipment in thousands of retail locations, but after installation, they often lose track of where exactly their assets are and how they’re being used. The problem escalates as your …
Invisible Assets: How FMCG Manufacturers Can Maintain Control Over Trade Equipment Read More »
Goods Checker team gave an interview to a leading Ukrainian IT media outlet, discussing Goods Checker – an AI-powered solution for retail audit. Dmitry Akhremcik, Head of Goods Checker, shared insights on the system’s implementation, explaining how artificial intelligence is revolutionizing merchandising in retail. While most companies are still exploring what generative AI could bring …
AI-Powered Store Audits: Case Studies from Retail, Pharma, and Food Service Read More »
The Goods Checker team attended one of Poland’s largest conferences — Retail Show. This annual B2B retail event took place November 26–27 in Warsaw and brought together over 200 companies. The RetailShow conference in Poland is a major annual event for everyone working in retail. The exhibition gathers hundreds of companies to showcase equipment, software, …
Goods Checker at Retail Show: Where Polish Retail is Heading Read More »
Key Takeaways 1. Manual Merchandising Fails 80% of Purchase Decisions. 80% of purchase decisions depend on display quality, but traditional processes fail: managers can’t process hundreds of photos from merchandisers, leading to decisions based on incomplete data and digital fraud (old photos instead of real-time shots). 2. AI Delivers 70% Time Savings and 95-98% Accuracy. …
Image Recognition in Retail Helps FMCG Companies Control Operations and Scale Read More »
Traditional merchandising requires constant human presence to monitor shelves. This approach limits both the scope of work and its accuracy. However, modern computer vision technologies are opening up new possibilities for automating these processes. According to analysts, the computer vision market in retail will reach $15.6 billion by 2030, yet only 3% of companies have …
Image Recognition in Retail: How Data is Collected — From Cameras to Chatbots Read More »
In the fast-paced world of modern retail, one truth has become crystal clear: standard analytics tools aren’t enough. They show too much or too little, often out of context. For retail leaders, trade marketing professionals, CPG brands, and distributors, the need is clear — precise, customized insights that reflect your products, your regions, and your …
FMCG companies pay special attention to merchandising control, especially checking the placement of goods. To accelerate the process and avoid mistakes, business shifts towards automation. Today, merchandisers often use mobile applications that analyze placement of goods on the photographs, compare it to the planogram and show inconsistencies right at the sales outlet. At the same …
Local or Cloud Product Recognition: What’s Best for Your FMCG Company? Read More »
Consumers are demanding nowadays – they want to be provided with current product information, personalised offers and omnichannel shopping availability at any time. To this end, FMCG companies are automating processes and implementing artificial intelligence to meet customer expectations. Quick implementation of such IT solutions was made possible by integration using API. In this article, …
Nowadays, artificial intelligence is becoming an indispensable tool for retail trade. As reported by McKinsey, in companies, which use AI, revenue is increased by 3-5% and expenses are reduced by 15%. Solutions based on computer vision are particularly efficient. They computerise merchandise display, analyse customer behaviour and optimise product layout. Despite general belief, to bring …
