Feature
Analytics Dashboard for Chemical Manufacturing MSMEs
The monthly MIS that actually tells you something. Because the data behind it is current, not reconstructed.
Faktry's analytics dashboard turns the daily floor capture — orders, batches, QC, inventory, downtime — into a current MIS. Owners see margin per product, yield per reactor, first-pass QC rate, inventory turns, and customer revenue without a month-end reconstruction exercise. Included in the ₹8,999/month base plan.
People also ask
- How is this different from running charts in Excel?
- The data behind it is current and structured. Excel charts die when the data is late, manually re-keyed, or inconsistent between sheets. Here, the dashboard reflects what your floor actually captured today — no reconstruction.
- Can we customise the views for our factory?
- The core views are built for chemical batch processing — production by product, yield by reactor, inventory turns, QC first-pass rate, machine utilisation. You can filter by product, customer, shift, or date range. For anything bespoke, ask us on the pilot call.
- Does it handle years of history without slowdown?
- Yes. The dashboard is built to scale with the amount of order history a factory accumulates over years, not just the current month — so trends stay readable as data grows.
How it works
- 1
Dashboards update themselves
Orders, batches, QC, inventory, downtime — all feed into the dashboard as they happen. No monthly 'pull the numbers together' exercise by a junior who doesn't trust what they're producing.
- 2
See trends, not just snapshots
Monthly output by product. Yield per reactor across quarters. First-pass QC rate moving up or down. Owners start seeing the shape of their business instead of individual months in isolation.
- 3
Drill into the outliers
One reactor consistently low yield? One product with drifting QC results? One shift with higher scrap? The dashboard doesn't just show totals — it surfaces what's worth looking at.
- 4
Export when you need
Board meeting, investor update, bank review — pull clean CSVs or PDFs. Same underlying data, formatted for whoever's asking.
The MIS nobody trusts
Ask most MSME owners what their previous quarter’s gross margin per product was, and you’ll get an answer that starts with “roughly.” That’s not because they don’t care — it’s because the underlying data isn’t trustworthy enough to answer precisely.
The monthly MIS is usually a spreadsheet assembled from registers, Tally, and memory. The junior assembling it smooths over gaps. By the time the owner sees it, the margin-per-product number is directional at best.
What changes when the data is current
The dashboard sits on the same data capture that drives the shop floor — orders, batches, actuals, QC, downtime, inventory. Because the floor is using it daily, the data is real. The owner looking at the dashboard on a Saturday morning sees the same numbers the supervisor used on Friday to plan Monday’s batches.
Three patterns show up once the data is reliable:
- Margin conversations get concrete. “Reactive Blue 19 is our highest-revenue product but our lowest margin” becomes a decision point instead of a suspicion.
- Reactor underperformance becomes visible. The ₹8–15 lakh/month revenue hiding in one underperforming reactor stops being invisible.
- Customer profitability emerges. The customer everyone assumes is a big account sometimes turns out to be a margin-draining account when the analytics finally show the full picture.
The dashboard keeps up as you grow
Factories accumulate data fast — orders, batch records, QC history, photos, dispatch records. A dashboard that works at 500 orders and chokes at 5,000 is worse than no dashboard at all. Faktry’s analytics is designed to stay responsive as your history grows, so year-over-year comparisons actually work when you need them.
How does Faktry analytics fit dye, pigment, and specialty chemical manufacturers?
The same dashboard surfaces different insights per chemistry.
For dye manufacturers
Yield per reactor (GLR vs SS) across reactive / acid / direct / disperse chemistries; first-pass QC rate per product (Reactive Blue 19, Acid Black 210, etc.); customer margin by textile buyer; H-acid and VS cost impact per batch as raw material prices swing. The “why does RX-02 yield 12% less than RX-01” question gets a chart, not a hunch.
For pigment manufacturers
Tinctorial strength trend per product vs reference, particle size D50 drift over batches, solvent recovery efficiency per campaign, VOC trend for GPCB reporting. Paint-buyer margin analysis surfaces which accounts are growing vs which are quietly shrinking on shade-rejection attrition.
For specialty chemical manufacturers
Per-campaign yield vs bid assumption, per-product margin across CDMO contracts, equipment utilisation across heterogeneous reactors / filters / dryers, impurity profile trend per product. Custom-synthesis quotes can be priced against real throughput data from prior campaigns — not optimistic estimates.
Try it on your own data
The 30-day free pilot imports your current order history, inventory, and customer list so the dashboard has real numbers from day one. Book a demo and we’ll show you what your own production trends look like.