03 / Visibility
Live dashboards that surface anomalies before they become problems, track the KPIs your team actually cares about, and alert the right people. Our forecasting work lifted inventory planning accuracy by 45% and cut stock discrepancies by 60%.
+45%
Inventory planning accuracy
−60%
Stock discrepancies
30s
To generate a daily report
+45%
Inventory planning accuracy
−60%
Stock discrepancies
30s
To generate a daily report
What we deliver
Concrete outputs, not a slide deck.
01
Real-time dashboards
Live KPIs across every business unit, embedded in the tools your team already opens.
02
Forecasting models
Time-series forecasting for sales and inventory. +45% planning accuracy in production.
03
Traceability
Follow every unit from supplier to customer. 60% fewer stock discrepancies.
04
Anomaly alerts
Thresholds and pattern detection that page the right person, not a weekly spreadsheet.
05
Automated reporting
Daily board summaries generated from raw telemetry. No analyst required.
How it runs
What you can expect.
- Real-time operational dashboards
- Sales and inventory forecasting
- End-to-end stock traceability
- Anomaly detection and alerting
- Board-ready automated reporting
Stack we reach for
Related work
Where we have done this before.
+45%
Inventory planning accuracy
−60%
Stock discrepancies
Forecasting & Traceability Dashboards
Multi-warehouse inventory planned on last month’s numbers, with discrepancies found only at count time.
The hard part: Forecasting that stays honest when the underlying stock data has been wrong for years.
Time-series sales forecasting and end-to-end stock traceability dashboards. Inventory planning accuracy up 45%, stock discrepancies down 60%.
- Multi-warehouse
- Multi-warehouse distributor
- India
Read case study
92%
Nifty50 prediction accuracy
Elsevier
Peer-reviewed publication
Hybrid Deep Learning for Stock Prediction
Whether hybrid deep learning genuinely beats classical models on Indian equities.
The hard part: LSTM, CNN and ARIMA combined with sentiment, held to peer review at 92% on Nifty50.
Hybrid LSTM, CNN and ARIMA models with sentiment analysis, reaching 92% accuracy on Nifty50 prediction. Published in Intelligent Systems with Applications (Elsevier).
- Published, Elsevier
- Shipped 2022
RAG
Q&A over every transcript
Auto
TODOs and mind-maps
AI Meeting Intelligence Assistant
Decisions made in meetings that nobody could find again a week later.
The hard part: Retrieval over every transcript, accurate enough that the answer can be trusted without replaying the call.
Audio capture to AI summarisation to action items. Mind-maps, conversational Q&A over transcripts and a searchable knowledge base of every meeting.
- Productivity startup
FAQ
Questions about data & dashboards.
Book a 45-minute call with our architects. We map your current stack, find the three biggest bottlenecks and estimate the ROI of fixing them. You get a written summary within 24 hours. No pitch, no commitment.
First measurable wins usually land within 14 business days. A scoped build runs 2 to 8 weeks depending on integrations and migration volume. Brand projects average 2 to 3 weeks. You get a milestone plan before we start.
Yes. We build on what you already have: ERPs, CRMs, payment rails, healthcare APIs, legacy databases. If it has an API or a database, we integrate with it. If it does not, we build the bridge.
Builds are fixed-price after a scoping call. Typical engagements start under $25K for a single system and run to $100K+ for multi-platform programmes. Retainers are monthly. The diagnostic is free.
Next
Cloud & DevOpsNext step
Your competitors are already automating.
A free 45-minute diagnostic. We map your biggest bottleneck, estimate the ROI, and tell you honestly whether AI belongs there. No pitch deck.
Straight to the engineer. No form, no gatekeeper.
Accepting new engagements · Q4 2026