Precision Engineering · Predictive Intelligence
We engineer high-performance Full-Stack platforms, automated Business Intelligence dashboards, and applied Data Science systems that help SMEs and growing enterprises eliminate operational leaks and scale profitably.
About Us
At Tenstral Technologies, we believe the most powerful digital products are born when data intelligence and software engineering converge. Our team doesn't simply build applications—we architect systems where every line of code is informed by data, and every model is built to deploy.
We are committed to clean, scalable code, transparent communication, and delivering ROI you can track in your dashboards—because we probably built those dashboards too.
Every decision backed by data. Every model validated rigorously.
From sketching in notepad, building database schema, onto UI/UX and then deploying the app to production. We own the entire stack.
We don't just serve clients; we build lasting partnerships grounded in trust, transparency, and shared goals.
What We Do
Meet our latest platform
An AI and Data Science powered Digital Commerce engine built for high-growth merchants. Every storefront runs on integrated Business Intelligence, predictive customer algorithms, automated inventory forecasting, and real-time payment telemetry.
Every storefront built on TenstralCommerce runs on production-ready operational telemetry, with next-gen predictive models actively researched and deployed from our applied data lab.
Sports Venue Automation
A comprehensive B2B SaaS venue administration platform designed for modern sports turfs, arenas, and indoor facilities. SlotBhai automates real-time slot bookings, tokenized MFS payments, dynamic surge pricing, and AI pitch occupancy detection.
Concurrently handles online customer slot holds, WhatsApp booking requests, and walk-in reservations with zero double-booking risk.
Direct bKash and Nagad payment gateway verification instantly confirms advance deposits and releases invoices without manual cross-checking.
Automated rate optimization adjusts prime evening, weekend, and rainy-day pricing rules to maximize turf revenue per hour.
Tracks peak-hour pitch utilization, repeat squad leaderboards, automated SMS slot reminders, and partner revenue splits in one dashboard.
Try It Yourself
Move the sliders to match your business and watch the numbers change instantly. Figures are illustrative estimates based on typical SME patterns — your results will vary.
Tell us a little about your business.
Based on evening hours (4 PM – 12 AM), 30 days a month.
When bookings come in over WhatsApp, slots start at random times. A booking from 6:30 to 7:30 leaves a 30-minute hole on each side that nobody wants to pay for. Those holes add up to many lost hours every month.
It offers customers start times that fit neatly next to existing bookings, and suggests a small discount or a 15-minute shift when a gap would otherwise be left behind. Two people can never book the same slot at the same moment.
-- Race-safe slot reservation
BEGIN;
SELECT slot_id, status
FROM pitch_slots
WHERE pitch_id = $1
AND start_time = $2
FOR UPDATE NOWAIT;
-- orphan gap < 60 min? nudge the customer
IF next_start - requested_end = 30 THEN
offer_shift(+15, discount);
END IF;Tell us a little about your business.
Assumes ৳180 lost per returned parcel (delivery + return + packaging) and a 22% profit margin.
With cash on delivery, every refused parcel costs you delivery and return fees, damaged packaging, and days of stock sitting in a courier van instead of being sold.
It keeps a running score of which courier delivers best in each district and sends every order with the best one. Orders from phone numbers with a history of refusing parcels are flagged for a quick confirmation first. Stock reorder alerts keep fast sellers from running out.
# District-aware courier routing
def route_order(order, stats):
risk = cod_risk(order.phone)
if risk > 0.45:
request_confirmation(order)
best = max(
couriers,
key=lambda c: stats[order.district][c].success_rate
)
return dispatch(order, best)Our Work
Growing niche e-commerce merchants in Dhaka facing 65%+ single-order customer drop-off with zero visibility into repurchase cycles.
Built a tailored RFM cohort model and light gradient-boosted classifier predicting when high-intent shoppers are ready to reorder.
22% increase in repeat orders, recovering ৳8.5 Lakhs in retained gross merchandise value per quarter.
SME distributors managing 400+ SKUs across Facebook shop, showroom POS, and website spent 15+ hours weekly compiling manual Excel reports.
Designed an automated Google Looker Studio & Power BI dashboard aggregating daily cash flow, bKash merchant receipts, and branch sales.
Saved 12+ managerial hours/week and eliminated ৳3.2 Lakhs in uncollected invoice discrepancies in month one.
Regional diagnostic centers and health NGOs suffered phone line congestion and paper report delivery delays across rural catchment areas.
Developed a lightweight, mobile-responsive portal with instant SMS download links, PDF report retrieval, and doctor appointment scheduling.
Delivered 18,500+ digital lab reports in 6 months with zero server downtime and a 60% reduction in desk calls.
Automotive and motorcycle spare parts retailers tied up working capital in slow-moving items while frequently stocking out of high-demand consumables.
Implemented an automated weekly time-series reorder point algorithm considering seasonal riding patterns and supplier import lead times.
Reduced dead stock by 34% and unlocked ৳14.5 Lakhs in redeployable working capital within 90 days.
E-commerce SME brand losing 18-22% of revenue to failed Cash-on-Delivery (COD) courier parcels across 64 districts without return analysis.
Built a live courier pipeline dashboard tracking delivery velocity by district, flagging high-risk return zones and phone confirmation bottlenecks.
Cut delivery failure rates from 21% down to 8.4%, saving over ৳4.8 Lakhs in wasted courier charges and return damages.
Local brand relying on manual "Send Money" bKash/Nagad verification faced 30-minute order confirmation delays and missed evening flash sales.
Integrated automated bKash Tokenized Checkout and webhook payment callbacks directly into their storefront inventory with auto-invoicing.
Reduced payment confirmation from 30 minutes to 4 seconds, boosting checkout conversion by 28% on festive campaigns.
Client Voices
"Tenstral didn't just build us a dashboard—they restructured how our entire leadership team thinks about data. The inventory prediction model alone paid for the engagement in the first quarter."
"Their full-stack team delivered our patient diagnostic and report portal two weeks ahead of schedule and under budget. The application quality was exceptionally good."
"We went from manual spreadsheets to a fully automated BI pipeline in 8 weeks. Tenstral understood our Ecommerce and logistics challenges as well as the tech stack. I've never worked with a more responsive partner."
Get In Touch
Whether you need a predictive model, an executive dashboard, or a production-grade application, we're ready to talk. Share your challenge and our team will respond within one business day.