360-degree customer view
Predictive analytics solutions
Fraud detection solutions
Not magic, but clever engineering stays behind AI-based customer engagement solutions. Recommendation systems built upon big data can drive the right people towards the right products because AI algorithms can figure out who looks for what. The entire mass of your buyers (both regular and random) appears meticulously sorted into groups according to their shopping behavior and preferences. This is what lets you find an individual path to each of them in an automated mode. Hence, your customers are never ignored, always satisfied, and permanently engaged.
To be viable in retail, predictions have to rely on certain shopping patterns. How to recognize such patterns? Every shopper leaves a lot of digital trails on the internet when making a purchase. Petabytes of data have to be aggregated, processed, and analyzed to forecast how buyers will behave. When trying to predict with your retail anytime soon, even the current weather conditions matter in addition to previous shopping experiences of your buyers, local events, price changes, and other pattern-forming factors. Don’t try to detect predictable patterns manually, this is beyond human capabilities. Leave forecasting to AI algorithms: processing big data is what machine learning is created for.
Reducing customer service workloads with chatbots, providing supply chain optimization through eliminating stochastic planning, preparing for order picking, making shelf replenishment precisely estimated, as well as many other retail-inherent operations belong to what we call cost-effective retail management. However, experienced your staff is, your operations always risk turning to a mess if only manual planning is practiced. Retail planning augmented with AI-powered solutions takes operations to another level of efficiency. This is about retail business automation that matters in the current conditions.
Everything able to enhance returns in retail belongs to various datasets nowadays. Not only are they huge as such, but they also keep growing continuously. Any data should be analyzed to have any value. Only processed data can turn to valuable insights on what to do to stay competitive among your rivals. Machine learning algorithms make AI retail solutions the best tool for data management, therefore. Relieve your brain from data-processing routines to let your creativity expand and make your retail business more successful.
Design and development
Testing and deployment
Since no serial production is possible in software development, every development lifecycle happens to have an individual duration. After an approximate architecture of the future product becomes clear, our specialists can calculate the number of working hours they will spend to complete the project. To make such a calculation as exact as possible, they should take into account the following factors:
Similarly to the project duration issue, the cost of different software products can significantly vary. We always strive to achieve the most cost-effective process; whatever software is developed. At the same time, there are some cost-determining factors that any developer cannot ignore. Inter alia, they include:
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