What is AIPC?
AIPC acts as an analytical agent and decision-support middleware for e-commerce managers. It transforms complex data into actionable insights, enabling faster, smarter decisions across pricing, inventory, and customer engagement strategies.
AIPC in short:
AI as a middleware to analyze data and present in form of managerial dashboards.
Conclusions derived from customer data, sales data, complaints data, external models like weather for seasonal e-commerce.
Support in planning production, stocking, logistics load, customer purchase moments research.
It can be used in various combinations: B2B, B2C, D2C, D2S - wherever data analytics helps managers.
Key benefits:
Intelligent Decision Support
Managerial dashboards that visualize predictive KPIs (conversion likelihood, churn risk, customer LTV).
Automated scenario simulation for pricing, promotions, and stock levels.
Alerts and recommendations for underperforming SKUs or channels.
Integrated External Intelligence
Incorporates competitive pricing intelligence from marketplaces and D2C/B2B sources.
Seasonal and trend forecasting based on external data (e.g., weather, calendar events, market trends).
Impulse purchase prediction models tied to real-time consumer behavior and social sentiment.
Dynamic Personalization Engine
AI-curated product bundles and next-best offers based on microsegments.
Real-time recommendation logic adapting to behavior changes across sessions and devices.
Multichannel personalization — web, app, chatbot, voice.
Middleware for Commerce Stack Orchestration
Seamless integration with ERP, PIM, CRM, and marketing automation platforms.
Acts as a logic layer between frontend interactions and backend systems.
Enables rule-based and AI-enhanced workflows across sales, service, and fulfillment.
We transitioned into the e-commerce space
We:
- Create AIPC dashboards, ecosystem and relations to support managers in their daily work.
- Treat AIPC as middle-ware connected to internal systems, like ERPs, PIMs, and more.
- We created the whole process of digital transformation to use AIPC in active data usage for prediction of e-commerce environment.
AIPC helps:
- increase margin,
- predict better sales, operations
- support managers in decision process
- avoid misunderstanding of data
Over the past 5 years, we’ve successfully completed over 120 projects, helping businesses across industries such as: FMCG, healthcare, insurtech, banking, and fashion.
“Our expertise lies in reconfiguring and upgrading sales models to drive improved performance and achieve exceptional results.”
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