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AI agent for data analysis
Chat with your BI assistant to turn retail data into clear insights, accurate forecasts, and data-backed actions — all in one chat. Let AI in retail analytics explore your data and deliver valuable answers in seconds.
Just ask and uncover sales trends, inventory gaps, and customer shifts — all with AI-powered insights
Accessible and Easy for Everyone
Anyone on your team can use it — marketers, category managers, finance. No special skills needed. When BI is clear for everyone, the team acts faster.
Retail-Specific Intelligence
Our assistant is specially trained and tested on retail data to give you insights that lead to smart, confident decisions.
Quick insights from your data
No need to open reports or search through metrics — just ask and get instant answers, powered by your store’s real performance data. It’s the fastest way to get facts and verified calculations behind your reports.
AI-powered chat that analyzes, explains, and recommends – right inside your BI tools
Natural Language Answers
Through a conversational interface, you can quickly get clear answers — no data experts required. Not sure how the numbers connect? Just ask the assistant to explain. It’s like having a team member who never sleeps and knows your business inside out.
Dashboards
Turn your data into clear, interactive visualizations designed for decision-making. AI-powered dashboards help you identify trends, validate hypotheses, and build impactful presentations backed by dynamic insights.
Wizora, your AI-powered assistant, not only builds visualizations but also interprets performance trends, highlights likely influencing factors, and delivers practical recommendations to improve operational efficiency.
AI Recommendations
Let AI dive deeper into your data — and bring you real answers. Using advanced retail data AI and analytics, the assistant doesn’t just show you numbers — it tells you what to do next. From optimizing assortments to adjusting promotions, you get smart, ready-to-act suggestions in seconds.
Data Based Insights
No guesswork. No generic models. Every answer comes directly from your store chain data — giving you full confidence in every insight. Want to build a list of seasonal products? Now it’s easy to compare historical data and spot the patterns that matter.
AI-Powered Predictive Analytics
Our predictive AI analyzes your historical trends and retail patterns to build accurate, detailed forecasts. Whether you're estimating next month’s sales or detecting shifts in demand, the assistant helps you respond early and plan ahead — no extra tools or data scientists needed.
Descriptive Analytics
Track performance across stores, categories, and promotions — all in real time. Get clear explanations for sales trends, stock movements, or promo results, right when they happen. Go beyond static reports and understand the why behind every change.
Retail AI use cases
Sales
Inventory optimization
Customer analytics
Supplier analytics
Promotions
Why every retail team needs an AI assistant for sales analytics
Retail sales data is fast-moving and constantly shifting. An AI assistant helps you stay in control — it explains changes, forecasts upcoming trends, and suggests your next steps based on real data. It’s like having Google inside your sales dashboards: just ask, and get clear, accurate answers without digging through reports.
Why it matters for retail inventory optimization
Retail inventory data is constantly shifting — driven by customer behavior, supplier delays, promo activity, and seasonal changes. With an AI assistant, your team can stay ahead of stockouts and overstock risks, easily track inventory trends, and understand the why behind every fluctuation. Instead of digging through endless reports, you get clear, data-backed answers and forecasts.
Smarter decisions with real customer data
Your AI Assistant helps uncover key insights from loyalty programs, purchase receipts, and RFM analysis — all based on actual data from your store chains. Identify your most valuable customers, detect those at risk of churn, and understand purchase behavior across categories. With accurate segmentation and timely insights, you can fine-tune loyalty strategies and maximize customer lifetime value.
Supplier Analysis — powered by your real store data
Your AI assistant helps evaluate the performance of each supplier using actual sales, delivery timelines, and stock turnover data. No more manual comparisons — the assistant shows which suppliers bring the most value, where delays or overstocks are happening, and who might be hurting your margins.
Retail promotion analytics
For retail chains, promotions are a critical tool for controlling margins and inventory levels. Without consistent promotion analytics, it becomes difficult to distinguish profitable campaigns from those that simply appear successful.
Wizora works like an in-house analyst who knows your retail business. It reveals which promotions underperformed, in which stores, and what factors contributed to those outcomes—so you can optimize future campaigns with confidence.
Faq
Wizora combines AI for data analysis with a deep understanding of your retail data.
Unlike general AI tools, it works inside the Datawiz analytics system — so every answer or forecast is based on your actual performance. No generic outputs — just insights you can trust.
Wizora helps your team ask questions, explore trends, and get clear, natural-language answers without digging through reports.
Core features:
- → Predictive analytics
- → Descriptive insights
- → AI-driven recommendations
- → Dashboard generation
The best way to get started with Wizora is to book a short intro call. One of our sales managers will act as your guide — showing you how the assistant works, what features will be most useful for your business, and how pricing is tailored based on your store setup and goals.
Wizora is designed to handle the questions retail teams ask every day — and answer them with precision.
It works directly with your data: sales, inventory, customers, suppliers — and gives fast, clear insights you can act on.
Example questions:
- → What’s the projected revenue by store compared to our kpi?
- → Which products had the biggest sales drop this month?
- → How many loyalty customers visited the store this week?
- → When should I reorder product based on current trends?
Wizora analyzes data that already exists in your BI environment: sales transactions, inventory levels, prices, markups, loyalty program customer behavior, and other operational metrics available in the system.
Reliability is ensured by three factors:
- → A single source of reliable information — Datawiz reports. Wizora works based on verified, structured data from your chain.
- → Consistent indicator logic. All calculations are performed according to predefined business rules, ensuring the comparability of analytical data across stores, regions, and time periods.
- → Transparent calculations. Wizora explains what data and time frames were used, helping decision makers understand the basis for each conclusion.
In addition to descriptive analytics, Wizora focuses on identifying anomalies, deviations, and emerging risks. By comparing performance across stores, regions, and time periods, it highlights areas that differ from expected patterns.
Examples include:
- → Stores underperforming relative to similar locations
- → Unusual margin changes
- → Inventory or sales trends that indicate operational issues
No credit card required