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Case studies

Proof from real floors.

Four sectors, four bottlenecks, four businesses in North India that stopped running on memory and registers. Every figure is measured against where that business started — not an industry average, not a vendor benchmark.

Distribution & Logistics 18 → 6 days to close the month, three companies Read the case ↓ Engineering & Auto Ancillaries 78% → 94% on-time delivery, Dera Bassi Read the case ↓ Hosiery & Textiles 12% → 7% buyer rejection rate, Ludhiana Read the case ↓ Pharma & Wellness 52 → 34 days to get paid, Baddi Read the case ↓

Representative composite scenarios, with details anonymised to protect the businesses involved.

Distribution & Logistics
Multi-company distributor · North India

A three-company distributor, run from one screen.

Before

Three companies shared one warehouse, one fleet and labour law in four states. The same product carried a brand's code on the way in and a customer's code on the way out — 11,400 item codes for roughly 4,200 real products — and a stock count agreed with the system 81% of the time. Month-end close took 18 days. Dealers short-paid about one invoice in nine, weeks after delivery, and nobody could say which truck the shortage came off.

What changed

Over 26 weeks, Kinexus and AllAboutHR rebuilt four things at once: the finance close and controls, the warehouse layout and its operating standards, statutory compliance and the people system, and one platform joining them up.

Where AI went in
  • One product, one code. AI proposed merges across brand and customer codes and flagged the doubtful ones. The stores team approved 7,200 merges in nine working days.
  • Fast movers near the dock. Every Monday, AI re-ranks products by how fast they sell and proposes which ones sit closest to dispatch.
  • Disputes settled at the dealer's door. Dealers confirm delivery on WhatsApp with a one-time password; AI reads their shortage notes and photos and groups claims by route, driver and product.
  • Overdue dealers chased in their language. A collections agent sends reminders in Hindi, Punjabi or English and hands a dealer to a person the moment they dispute an invoice.
  • Payroll problems caught before pay day. An attendance agent checks every punch against the company's own shift and overtime rules and flags overtime creep and buddy-punching patterns.
  • Directors ask in plain English. "Which route cost us most in returns last quarter, and why?" — answered in seconds, with the records behind it, plus a one-page digest every Monday.

A person approves every decision the AI proposes.

After

Six months after go-live the books close in six days, stock accuracy is 98.5% and dealer short-payment disputes are down 64%, with the average claim closing in two days instead of five weeks. Overdue receivables fell by a third, releasing about ₹1.4 crore of working capital, and the overtime bill dropped 17% without cutting anyone's pay.

Talk to us about yours → People side: AllAboutHR
18 → 6
Days to close the month
−64%
Dealer short-payment disputes
81% → 98.5%
Stock accuracy
₹1.4 cr
Working capital released from receivables
140
Payroll exceptions caught before pay day in the first quarter
Engineering & Auto Ancillaries
Precision components · Dera Bassi

A Dera Bassi precision unit, systematized.

Before

Jobs were scheduled by memory. Rush orders derailed the plan, and machine utilisation sat at 68% while everyone worked flat out.

What changed

Production scheduling was systematized — live job status and capacity-aware planning on the machines they already owned.

After

The same three CNC machines delivered 25% more output with no capital spend. On-time delivery rose from 78% to 94%, and that record unlocked 12 new OEM orders within nine months.

Engineering & Auto page → Related: Proof beats price
78% → 94%
On-time delivery
+25%
Output from the same three CNC machines — no capex
12
New OEM orders within nine months
Hosiery & Textiles
Knitwear mill · Ludhiana

A Ludhiana mill, made auditable.

Before

Buyers were rejecting one in seven consignments. Quality lived in the checker's eye, and the register couldn't show a single pattern.

What changed

Systematic inspection workflows went in on the line — every 10th part checked and logged, so defects were caught and traced at the source.

After

The rejection rate fell from 12% to 7% within 12 weeks and rework costs fell sharply. The quality record that came out of it now answers a buyer's audit questions on the spot.

Hosiery & Textiles page → Related: Proof beats price
12% → 7%
Consignments rejected by buyers
12 weeks
From the first logged inspection to the new rate
On the spot
Buyer audit questions answered from the record
Pharma, Nutraceuticals & Wellness
Wellness brand · Baddi

A Baddi brand, unstuck.

Before

Customers took 52 days on average to pay. New orders couldn't scale because the cash to buy stock for them was stuck in receivables.

What changed

Systematic receivables discipline — follow-ups that happen on schedule and a DSO number someone owns — alongside two sales hires made with AllAboutHR.

After

DSO dropped to 34 days, releasing cash worth roughly 5% of annual turnover. That funded the inventory to take on larger accounts, and the order book has grown with the new sales team.

Pharma & Wellness page → Related: Winning the audit
52 → 34
Days to get paid (DSO)
~5%
Of annual turnover released as cash
2
Salespeople hired with AllAboutHR
Not your sector?

The bottlenecks repeat. The industry changes.

Scheduling by memory, quality you can't prove, cash stuck in someone else's books — we see the same three problems in steel, food processing, retail and professional services. Tell us which one is yours.

  • Work that's planned in someone's head instead of a system
  • Quality and compliance you do, but can't show on demand
  • Cash tied up in receivables, stock or work in progress
  • People processes that don't reconcile with the floor's numbers
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Two weeks on-site. A scored baseline, your top three bottlenecks, and a clear next step — whether you work with us or not.

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