Innovation Lab
Agent experiments for Arvind Textiles — from idea to shipped, measured against pilot baselines.
Lab ideas
Tailored to this business
Avg impact
Weighted on revenue lift
Experiments running
Building, piloting or shipped
Shipped
Live in production
Impact vs effort
Where to spend the next sprint
Horizon split
- Now3
- Next2
- Later1
Experiment pipeline
- Idea17%
- Building33%
- Piloting33%
- Shipped17%
Technology building blocks
Most reused across lab ideas
AI product concepts
5 platform bets for Arvind Textiles
Quote & Costing Autopilot
PilotReads the buyer enquiry, matches construction and finish to the mill's live capability and cost, and returns a costed, margin-checked quote in minutes with a confidence band merchants can defend.
For Merchants, buyers, commercial head
Edge: Costing built on Arvind's actual mill efficiency, not a rate card
Fabric Match & Sampling Engine
PrototypeMatches a buyer's swatch, spec or reference to the closest developed quality in the archive, so sampling rounds collapse from three to one.
For Buyers, product development, merchants
Edge: Decades of developed qualities that competitors would have to re-develop
Loom & Process Efficiency Brain
PrototypeReads loom, dyeing and finishing telemetry to predict stoppages, quality drift and shade variation, and tells the shift supervisor which machine to touch next.
For Plant heads, shift supervisors, quality
Edge: Efficiency points on a mill this size are worth more than any sales campaign
Impact & Compliance Ledger
ConceptEvery quote ships with verified water, chemistry, energy and recycled-content data pulled from actual mill runs, in the buyer's own reporting format — the sustainability story becomes evidence.
For Global buyers, sustainability, compliance
Edge: Auditable per-order impact data instead of a brochure claim
Buyer Portal Agent
PilotA grounded agent that answers order status, shipment, spec and reorder questions for global buyers around the clock, and raises the reorder before the buyer thinks to.
For Global buyers, merchants, customer service
Edge: Answers from live ERP data, so it can be trusted with commitments
Idea catalogue
6 plays designed for Arvind Textiles
Sample-status autopilot
NowMerchants spend their day chasing labs and mills for sample status on behalf of global buyers.
What we build: Agent that polls PLM/lab systems and proactively messages each buyer with status, revised ETA and the reason for any slip.
- Impact
- Effort
Tracks Sample TAT · payback 6 weeks
Certification answer vault
NowGOTS/BCI/OEKO-TEX questions arrive weekly and answers are scattered across PDFs and inboxes.
What we build: Grounded vault that answers certification questions with the exact clause, certificate number and expiry, and never improvises a claim.
- Impact
- Effort
Tracks Buyer response time · payback 5 weeks
Capacity match engine
NextEnquiries get quoted before anyone checks which loom line can actually take the programme.
What we build: Match fabric construction and volume to live mill capacity, returning a feasible date and indicative cost band inside the conversation.
- Impact
- Effort
Tracks Quote-to-order rate · payback 10 weeks
Buyer churn early warning
NextA key account's decline is only visible after two missed seasons.
What we build: Account health score from order cadence, sample-to-order ratio and sentiment on calls, with a play recommended per at-risk account.
- Impact
- Effort
Tracks Reorder rate · payback 9 weeks
Sustainable-indigo story generator
LaterThe water and chemistry story is Arvind's biggest differentiator and the hardest to tell consistently.
What we build: Per-buyer impact sheet auto-built from actual mill data — litres saved, CO2e, recycled content — in the buyer's own reporting format.
- Impact
- Effort
Tracks Win rate on sustainability RFPs · payback 11 weeks
Trade-show lead capture agent
NowShow leads sit on business cards and lose a fortnight before first contact.
What we build: Scan-and-speak capture on the stand, instant multilingual follow-up and a sampling brief drafted before the buyer's flight lands.
- Impact
- Effort
Tracks Show lead conversion · payback 3 weeks
Idea
1 experiments
Sample-status auto-updates
If we deploy sample-status auto-updates, retention improves measurably within 30 days.
+13%Pooja Iyer
Building
2 experiments
Buyer churn early warning
If we deploy buyer churn early warning, conversion improves measurably within 30 days.
+14%Rohit IyerReorder nudge on seasonal cycles
If we deploy reorder nudge on seasonal cycles, retention improves measurably within 30 days.
+34%Sanjay Reddy
Piloting
2 experiments
Capacity match engine
If we deploy capacity match engine, cost per qualified lead improves measurably within 30 days.
+26%Rahul PatelTrade-show lead capture agent
If we deploy trade-show lead capture agent, cost per qualified lead improves measurably within 30 days.
+10%Rohit Desai
Shipped
1 experiments
Certification answer vault
If we deploy certification answer vault, conversion improves measurably within 30 days.
+20%Sneha Gupta