AI that checks shelves and packing stations, reconciles claims and confirms COD orders
We build vision, document, voice and WhatsApp systems for retailers, D2C brands and FMCG companies, connected to your OMS, WMS, ERP and DMS, with people approving the decisions that move money.
Retail runs on thin margins and high volumes, which makes it a good fit for AI wherever the work is repetitive and checkable: reading shelf photos against a planogram, checking a tote before the bag is sealed, reconciling vendor credit notes and distributor scheme claims, confirming COD orders and answering where-is-my-order calls. It is a poor fit where the input data is wrong or the decision is commercial. A model cannot fix a broken item master, and it should not set prices, approve refunds or decide a distributor's claim on its own. The systems we build flag, match, draft and converse; your category, finance and CX teams decide.
Challenges we hear
Paperwork that leaks margin
Vendor credit notes, short-supply debit notes and distributor scheme claims are reconciled in spreadsheets, so money owed is missed and duplicate claims slip through.
Execution at the shelf and the packing station
Planograms drift, items go out of stock, and in a dark store a wrong variant or missing item becomes a refund within minutes.
COD, RTO and returns
Unconfirmed COD orders, incomplete addresses and avoidable returns cost shipping both ways and tie up inventory in transit.
Catalogue content at scale
Each marketplace and quick-commerce partner wants different attributes and images, and listing errors lead to rejections, poor search and compliance risk.
Where AI fits
Computer Vision
Shelf photo audits against planograms, packing-station checks in dark stores and attribute extraction from product images.
Document Intelligence
Reconciling vendor invoices, credit notes and RTV documents, and settling distributor scheme claims against invoices and proofs.
Voice AI
Order status, returns and COD confirmation calls in Hindi, English and regional languages, connected to your OMS and courier data.
AI Security & Compliance
Guardrail and security testing for AI shopping assistants that can quote prices, apply coupons or look up orders.
AI Sales & Marketing Automation
Abandoned cart and win-back journeys on WhatsApp and email, and review insights that tell product teams what to fix.
Use cases
Shelf Availability and Planogram Compliance
Turn merchandiser and store shelf photos into SKU-level facings, out-of-stock gaps, price-label checks and planogram scores, with doubtful detections sent to a reviewer.
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Dark-Store Picking and Packing QC
A camera at the packing station checks each tote against the order before the bag is sealed, catching wrong variants, missing items and near-expiry stock, and keeps an image per order.
Catalogue Enrichment from Product Images
Read product photos and back-of-pack images to fill category attributes, mandatory declarations and listing copy for each marketplace, with every value checked before publishing.
Vendor Invoice and Credit Note Reconciliation
Match vendor invoices, GRNs, RTVs and credit notes, recalculate what each vendor owes you from the agreements, and chase missing or short credit notes with evidence.
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Distributor Trade Claims and Scheme Settlement
Read distributor claim sheets and proofs, apply scheme rules from your circulars, recalculate eligible amounts, catch duplicates and give finance a clean credit note sheet to approve.
Order Status and Returns Voice Agent
A multilingual voice agent that answers where-is-my-order calls from live courier data, starts returns and exchanges under your policy, and hands disputes to an agent with context.
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COD Order Confirmation Calls
Call every cash-on-delivery order soon after it is placed, in the customer's language, to confirm items, amount and address, offer a UPI prepaid option and tag the order before it ships.
Guardrail Testing for AI Shopping Assistants
Adversarial testing of AI shopping assistants for unauthorised discounts, wrong prices, order-data leakage and unsafe product advice, with validated findings, fixes and a retest.
Abandoned Cart and Win-Back Automation
Recover abandoned carts and bring back lapsed customers with WhatsApp and email journeys built around cart contents and purchase cycles, measured against a holdout group.
Review and UGC Insights for Product Teams
Classify reviews, Q&A, social comments and return reasons into product issues by SKU and batch, including Hinglish text, and give product teams a weekly digest with source quotes.
Regulatory context
Consumer Protection Act 2019 and E-Commerce Rules 2020 (India)
Require e-commerce entities to disclose return, refund and grievance information and prohibit unfair trade practices. The CCPA guidelines on dark patterns (2023) also restrict false urgency and similar design tricks.
Legal Metrology (Packaged Commodities) Rules 2011 (India)
Set mandatory declarations for pre-packaged goods, such as net quantity, MRP and manufacturer or importer details, which must also be displayed on e-commerce listings.
DPDP Act 2023 (India) and GDPR
Customer phone numbers, addresses, call recordings and purchase history are personal data. Consent, purpose limitation and retention rules apply, and GDPR applies when you serve customers in the EU.
TRAI commercial-communication rules (TCCCPR 2018)
Govern promotional calls and SMS in India, including registration of headers and templates on DLT platforms and respect for customer preferences.
FAQs
01We are a D2C brand on Shopify. Is this only for large retailers?
No. COD confirmation, order status calls, abandoned cart journeys and catalogue enrichment suit D2C brands well and connect to Shopify, WooCommerce or your OMS. Shelf audits and trade claims matter more to FMCG brands selling through distributors.
02Can the voice agents speak regional languages?
Yes. Hindi, English and Hinglish are standard, and we add Tamil, Telugu, Kannada, Marathi, Bengali or others based on your customer mix. We test with your real call recordings during the pilot.
03Who approves refunds, claims and credit notes?
Your team does. The systems prepare evidence, recalculate amounts and route exceptions; finance, CX and category teams make the decisions that move money.
04How long does a pilot take?
Most pilots run three to six weeks on one category, one store cluster, one claim type or one channel, alongside your current process. You get a measured report and a costed roll-out plan.
Related industries
Logistics & Supply Chain
AI that checks every POD, freight bill and e-way bill, so your team handles the exceptions
Manufacturing
AI that inspects parts, matches invoices and takes dealer orders, built around your plant
Fintech & Payments
Clear merchant KYC, dispute and reconciliation queues with AI your risk team can audit
Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.
Pick one leak and measure it
Book a discovery call. We will choose one narrow pilot, such as COD confirmation, one claim type or one dark store, run it alongside your current process and report what we measured.