STOCKIStore · Inventory intelligence

Know what your stock costs you each month, and keep the right stock in the right place.

Stocki is an inventory decision layer for Indian manufacturers on SAP. It sets reorder points from real demand and lead-time variability, prices stock in rupees by age, flags stock that is slowing or stuck, traces every batch, and records every recommendation and approval.

Run the demo Discuss your inventory challenge

Warehouse with tall pallet racking, palletised goods on the floor and a forklift

Stocki at a glance

1Reads

SKU master with units, barcodes, shelf-life rules, ABC/XYZ class and SAP material mapping
Stock by SKU, location, bin and lot; receipts, movements and dispatches
Demand history and supplier lead times, with their variability

2Decides

Stocki

Accept or reject each reorder recommendation (named planner)
Stock transfers between locations
Clearance or markdown of aged stock (finance)

3Produces

Approved changes posted to SAP through the bridge
Stock transfer orders between warehouses, depots and C&F agents
CSV, XLSX and PDF reports for finance and audit

↺ Learns Append-only ledger: recommendation, sources, override, approver and outcome back to 1 · Reads

The business problem

Inventory is up, and the fast mover still ran out

At month-end the finance head sees ₹4.2 crore of stock, about two weeks more than plan. The same week, the South depot ran out of its best-selling pack twice.
The depot's minimum was typed into SAP two years ago, when the pack sold half as much. Meanwhile the North warehouse holds months of the same pack, and a row of SKUs that have not moved since July. Nobody can say what that stock costs to hold each month.
Each team fixes its own piece. Sales asks for an urgent purchase, the warehouse asks for space, finance asks for less stock. The purchase goes through, and more cash goes onto the shelves.

Why the usual fixes fall short

ERP minimum and maximum levels are set once and rarely revisited, and they ignore how much demand and supplier lead times actually vary.
Inventory reports show units and book value, not what each SKU at each location costs to hold every month.
Slow stock is usually found at the year-end write-off review, after the chance to transfer it or run a scheme has passed.

Inventory keeps growing faster than sales, and every stock-out is answered with another purchase.

Working capitalCash sits in stock that is slow, aging or in the wrong location.
ServiceStatic reorder levels run out on growing SKUs while declining SKUs pile up.
MarginAged stock ends in discounts and write-offs, and you pay to store it every month until then.
ControlCount variances are posted without a pattern check, so shrinkage hides in the noise.

In plain terms

What Stocki is, and how it fits

What it is: An inventory decision layer that sits above SAP. It recalculates reorder points per SKU and location from demand and lead-time variability, prices stock in rupees by age, flags slow and dead stock, runs the warehouse floor from receipt to dispatch, and logs every recommendation and approval.
Who uses it: Inventory planners and warehouse supervisors day to day; storekeepers and pickers on handheld scanners; finance controllers for carrying cost and working capital; quality teams for batch trace and recall.
What it does: Safety stock at the service level you choose, reorder point and economic order quantity respecting MOQ; carrying cost per SKU-location (capital, storage, insurance, handling, obsolescence by age band); slow-mover and 90-day no-movement flags; goods receipt with quality hold; bin and zone management; cycle counts with variance posting; shrinkage pattern rules; batch genealogy and recall; a statutory stock register.
How it fits your systems: Reads from SAP (ECC, S/4HANA or Business One) and recommends. A named person approves before anything is written back. Connections are configured per deployment.
What is different: Stock is shown in rupees per month as well as units, and every recommendation lands in an append-only ledger with its sources, its approver and its outcome. Automation is granted one decision type at a time, through an autonomy gate you control.

See it work

Stocki in action

A month-end review: inventory priced in cash, service-level reorder math you can move, dead-stock flags, and a transfer signed by a named person.

A simulated scenario on representative data. You choose the option and give the approval; the numbers follow your choices.

End-to-end workflow

From data to decision to outcome

What goes in, what Stocki works out, what gets decided, what happens next, and how the result comes back.

InputsDATA

SKU master with units, barcodes, shelf-life rules, ABC/XYZ class and SAP material mapping
Stock by SKU, location, bin and lot; receipts, movements and dispatches
Demand history and supplier lead times, with their variability
Finance rates: cost of capital, storage, insurance, handling, obsolescence by age band
Cycle-count results and handheld scans from the floor

IntelligencePREDICT

Safety stock = z × √(lead time × demand variance + average demand² × lead-time variance)
Reorder point and economic order quantity, raised to the MOQ, with a festival and seasonal factor
Carrying cost per SKU-location per day, in rupees, using exact decimals
Dead-stock radar: falling rate of sale against rising cover, a 90-day no-movement rule, and age bands (0–29, 30–89, 90–179, 180+ days)
Shrinkage pattern rules on count variances (shift, value concentration, repeats)

DecisionsDECIDE

Accept or reject each reorder recommendation (named planner)
Stock transfers between locations
Clearance or markdown of aged stock (finance)
Variance adjustments after a completed count (supervisor)
Quarantine and release of a lot in a recall (quality)

ExecutionEXECUTE

Approved changes posted to SAP through the bridge
Stock transfer orders between warehouses, depots and C&F agents
CSV, XLSX and PDF reports for finance and audit
Alerts to the owner of each exception, by email, SMS or WhatsApp
Nothing executes beyond the autonomy level you grant

FeedbackLEARN

Append-only ledger: recommendation, sources, override, approver and outcome
Observed lead times and demand variability feed the next calculation
Count variance history by location and shift
Days of inventory, turns and cash-to-cash over time

Modules

Capabilities, organized by the work they do

24 modules in 5 groups. Open a module for its inputs, outputs, users and an example.

Reorder and replenishment4 modules Inventory in cash3 modules Warehouse execution6 modules Traceability and governance6 modules Industry packs5 modules

Reorder and replenishment

Replace static minimum and maximum levels with reorder points that follow real demand, supplier behavior and the season, starting from one clean SKU master.

Stock master and classificationHolds one trusted SKU spine: product hierarchy, units of measure and conversions, barcodes, SAP material mapping, ABC/XYZ classes and shelf-life rules.

Challenge: Every system names the same item differently, so every report and reorder rule starts from inconsistent data.
Inputs: SKU master and material data from SAP; barcode and shelf-life settings.
Outputs: Product, unit and barcode records; an ABC/XYZ class per SKU; FEFO and expiry rules per item.
Used by: Inventory planner, master-data team.
Value: Service levels, review effort and expiry rules are set by class instead of SKU by SKU.
Works with: SAP material master, through the SAP bridge.
In action · illustrative: Fast, steady sellers land in AX and get a higher service level than slow, erratic CZ items. An incense SKU carries a shelf-life rule, so issues follow first-expiry, first-out.

Service-level reorder pointsRecalculates safety stock, reorder point and economic order quantity per SKU-location at the service level you choose, as demand and lead times change.

Challenge: Minimum levels typed in years ago ignore how variable demand and lead times are, so growing SKUs run out and shrinking ones pile up.
Inputs: Average demand and its variability, lead time and its variability, service level, ordering and holding cost, MOQ, seasonal factor.
Outputs: A reorder recommendation that waits for a named planner to accept or reject it.
Used by: Inventory planner, procurement.
Value: Reorder levels that match the service you want to give, and an honest view of what each extra point of service costs in cash.
Works with: Demand variability from stock movements; lead-time variability from goods receipts.
In action · illustrative: A pack selling 40 boxes a day (σ 12) on a 14-day lead time (σ 3) needs about 211 boxes of safety stock at 95% and a reorder point of 771. Its static minimum is 400.

Festival and seasonal stock buildPlans stock ahead of Diwali, Eid, regional peaks and your own schemes by blending a festival calendar and seasonal uplift into replenishment.

Challenge: Reorder points built on average demand fall short before a festival and overshoot after it.
Inputs: Festival calendar by region, seasonal uplift from past seasons, scheme calendar, reorder parameters.
Outputs: Season-adjusted safety stock and reorder points, and a pre-stock plan by week and location.
Used by: Inventory planner.
Value: Stock builds for the season instead of reacting to it.
Works with: Uses the festival calendar and each SKU-location's reorder parameters.
In action · illustrative: Safety stock for festival SKUs rises for the weeks before Diwali, the pre-stock goes to the depots that sell most, and parameters return to normal afterwards.

Stock transfers between locationsRecommends, creates and approves stock transfer orders between warehouses, depots and C&F agents, and tracks stock in transit.

Challenge: One location runs out while another holds months of the same item, and the answer is usually a new purchase.
Inputs: Stock and cover by location, reorder points, transfer cost.
Outputs: A transfer recommendation, an approved stock transfer order and in-transit stock.
Used by: Inventory planner, warehouse supervisor.
Value: Overstock is rebalanced before it ages into a write-off, and stock you already own fixes the shortage before a new purchase is raised.
Works with: Transfer orders post to SAP through the bridge after approval.
In action · illustrative: Moving 1,200 boxes from a warehouse with 166 days of cover to a depot that stocked out twice.

Inventory in cash

Show finance what stock costs to hold, where it has aged, what is slowing, and where cash can be released.

Carrying cost per SKU-locationPrices each SKU-location per day in rupees: cost of capital, storage, insurance, handling, and an obsolescence charge that rises with age.

Challenge: Inventory reports show book value, so the monthly cost of holding stock stays invisible.
Inputs: Finance rates, stock by location, age band of each lot.
Outputs: Daily carrying-cost snapshots and age-band transitions.
Used by: Finance controller, CFO.
Value: Finance sees which SKUs and locations cost the most to hold, in rupees.
Works with: Finance sets the rates; money is calculated in exact decimals.
In action · illustrative: ₹4.2 crore of stock costs about ₹10.5 lakh a month to hold, ₹2.6 lakh of it from obsolescence on older stock.

Working-capital viewTracks days of inventory, turns and cash-to-cash, shows excess as blocked cash and provisions, and lists capital-release candidates: aged stock, transfers and purchases that can wait.

Challenge: The CFO knows inventory is too high but not which decisions would bring it down.
Inputs: Stock snapshots, carrying cost, open purchase orders.
Outputs: CFO-level figures and a ranked list of release opportunities, each with an owner.
Used by: CFO, finance controller, supply chain head.
Value: Working-capital targets turn into specific actions with owners.
Works with: Uses carrying cost and open purchase orders.
In action · illustrative: Days of inventory at 71 against a 55-day target, with the top transfers and aged SKUs that would close the gap.

Dead-stock radarFlags SKUs that are slowing toward dead stock, and stock with no movement for 90 days, while there is still time to discount, transfer or stop reordering.

Challenge: Dead stock is usually found at the write-off review, with the capital already frozen and the discount window gone.
Inputs: Movement history, rate of sale, cover and stock value by location, age band of each lot.
Outputs: A ranked list of slowing and stuck stock by location, value and age band, with a suggested action: discount, transfer or halt reorder.
Used by: Inventory planner, finance controller, sales head.
Value: Capital is released while the stock still sells.
Works with: Rules you can read: rate-of-sale trend, cover against age band, and the 90-day no-movement flag, with value-based severity.
In action · illustrative: Four SKUs worth ₹31 lakh at the North warehouse have not moved in 90 days; three more are slowing, with cover past 120 days. Reorders on all seven stop, and two go into a distributor scheme.

Warehouse execution

Run the four walls tight across plants, godowns and C&F agents: receive, store, count, pick and dispatch, with every scan captured at source.

Goods receipt and quality holdPosts goods receipts against purchase orders, creates lots, holds them for quality inspection, and records weighbridge readings.

Challenge: Stock that has not passed inspection gets counted as available.
Inputs: Purchase order, receipt, weighbridge reading, inspection result.
Outputs: Goods receipt, lots and quality status.
Used by: Storekeeper, quality inspector.
Value: Available stock means stock that is actually usable.
Works with: Purchase orders come from SAP; approved receipts post back.
In action · illustrative: A receipt is booked and held until quality releases it, so it cannot be allocated early.

Bin, rack and zone managementMaps every bin, rack and zone across sites, assigns put-away tasks, and shows a heat map of movement and congestion on the floor.

Challenge: Locations live in people's heads, put-away is guesswork, and nobody can see where the work and the shrinkage concentrate.
Inputs: Site, zone, rack and bin layout; receipts; movement history.
Outputs: Put-away tasks, bin-level stock and a movement heat map.
Used by: Warehouse supervisor, storekeeper.
Value: Less walking, faster picks and a clear view of where stock and work sit.
Works with: Company warehouses, rented godowns and C&F agents are each set up as locations.
In action · illustrative: Fast movers are put away near dispatch, and the heat map shows congestion at one rack row during the evening loading shift.

Cycle counts and variance postingSchedules rolling cycle counts, records the counts and posts variance adjustments once a count is complete, so there is no annual shutdown for a full count.

Challenge: Book stock drifts from physical stock, and every plan built on it inherits the error.
Inputs: Bins, count results, book stock.
Outputs: Count tasks, variance adjustments and stock movements.
Used by: Warehouse supervisor, storekeeper.
Value: Plans start from stock that is actually on the shelf.
Works with: Counts come from handheld scanners or count sheets.
In action · illustrative: A pre-Diwali count of 40 high-value SKUs finds 1,120 against a book figure of 1,180; the supervisor posts the −60 adjustment.

Shrinkage and pilferage rulesChecks count variances for patterns: tied to one shift, concentrated in high-value items, recurring, or adjusted after the count.

Challenge: Losses hide in routine variance and are written off as noise.
Inputs: Variance history by SKU, location and shift.
Outputs: Shrinkage signals with severity.
Used by: Warehouse head, finance controller, internal audit.
Value: Patterns are investigated instead of being written off one variance at a time.
Works with: Readable rules on count variances, with thresholds you set.
In action · illustrative: The same −60 variance on one SKU recurs on the same shift across three counts and is flagged high.

Outbound picking and dispatchAllocates stock to sales orders, creates pick lists, groups shipments into loads, prepares e-way bill data and records proof of delivery.

Challenge: Picks from the wrong lot and dispatch paperwork done by hand cause short shipments, expiry complaints and delays at the gate.
Inputs: Sales orders, stock by lot and bin, FEFO rules, vehicle details.
Outputs: Allocations, pick lists, loads, e-way bill data and proof of delivery.
Used by: Dispatch supervisor, picker, logistics coordinator.
Value: The right lot leaves on time with its paperwork complete.
Works with: E-way bill filing through the GST portal is configured per deployment.
In action · illustrative: A distributor order is allocated first-expiry-first-out, picked by scan, loaded with two other orders on one truck, and its e-way bill details are ready before the vehicle reaches the gate.

Mobile barcode scanningAn offline-first Android scanner app for goods receipt, picking, dispatch and cycle counts, synced when the device reconnects.

Challenge: Paper receipts, pick lists and count sheets are re-keyed later, slowly and with errors.
Inputs: Barcode and QR scans from handheld devices.
Outputs: Scan events posted to stock, with photo evidence where needed.
Used by: Storekeeper, picker, dispatch team.
Value: Transactions are captured at source, with fewer keying errors on the floor.
Works with: Rugged Android handhelds or existing scanners; a device registry controls which devices can post.
In action · illustrative: A storekeeper scans bin and SKU during a cycle count in a godown with no Wi-Fi, and the count posts when the device reconnects.

Traceability and governance

Trace any lot from raw material to shelf, keep statutory registers ready, and put every recommendation, approval and outcome on record, with automation only as far as you allow.

Batch and WIP genealogyLinks raw-material lots through each work-in-progress stage to finished goods, recording yield and wastage per batch.

Challenge: Tracing a unit back through production means days of paper chasing, and a quality or food-safety auditor will not wait.
Inputs: Lot records, production stage records, material issues and receipts.
Outputs: A lot genealogy from raw material to finished good, with yield and wastage by stage.
Used by: Quality and compliance, production planner.
Value: Every finished batch can be traced back to its materials, and losses are seen stage by stage.
Works with: Production stages are configured per plant.
In action · illustrative: At an incense maker, each batch is tracked from mixing and rolling through drying to packing, with yield and wastage at every stage.

Recall and quarantineStarts a documented recall from one lot, traces it downstream to every batch, location and customer it reached, and places affected stock on quarantine.

Challenge: When a quality issue appears, finding every affected lot takes days of manual digging, and the recall steps go undocumented.
Inputs: A recall trigger, the lot genealogy, stock and shipment records.
Outputs: The affected lots, locations and customers, a quarantine list and a recall record.
Used by: Quality and compliance, warehouse head.
Value: A fast, complete answer to "where did this lot go?", with the paper trail an inspector asks for.
Works with: Quarantine and release each need a named approver.
In action · illustrative: A raw-material lot is traced to the finished batches and depots it reached; those batches are quarantined, and the recall record lists every step and who approved it.

Statutory stock register and audit trailKeeps the GST stock register reconciled and export-ready, applies hazardous-material storage rules, and logs every stock movement in a trail that cannot be edited.

Challenge: Registers are rebuilt by hand before an inspection, and audit trails are reconstructed under pressure.
Inputs: Stock movements, lot records, item tax and hazard classes.
Outputs: A statutory stock register, hazmat checks and an immutable movement log, exportable for inspection.
Used by: Finance controller, compliance officer, auditor.
Value: An inspection or a recall becomes a query, not a fire drill.
Works with: —
In action · illustrative: An auditor asks for a year of movement history on one lot; it is a query and an export, not a week of digging.

Decision ledgerRecords every recommendation with its sources, any override and its reason, the approver and the outcome, in an append-only log that feeds the next calculation.

Challenge: Without a record, nobody can tell whether the system or the override was right, and trust never builds.
Inputs: Recommendations and decisions from every module.
Outputs: Ledger entries that are never updated or deleted.
Used by: Auditor, inventory planner, finance controller.
Value: A compliance-grade trail, and service levels and autonomy reviewed on evidence.
Works with: Every Stocki module writes to it.
In action · illustrative: A transfer recommendation, the evidence behind it, the planner who approved it and the stock-out count 30 days later sit on one record.

Autonomy gateSets how far Stocki may act for each decision type, from recommend-only to execute-and-report, and holds anything above the level you grant.

Challenge: Teams want routine moves automated but cannot risk the system acting alone on high-value decisions.
Inputs: Decision type, risk class, granted autonomy level.
Outputs: Allow, or hold for approval.
Used by: Supply chain head, finance controller.
Value: Automation is earned one decision type at a time and can be withdrawn.
Works with: Levels are granted and withdrawn by the supply chain head, per decision type.
In action · illustrative: Nothing executes automatically below level 3, and write-offs or supplier changes need level 4 or above.

SAP bridgeReads stock and material movements from SAP ECC or S/4HANA and SAP Business One, and posts approved changes back.

Challenge: Recommendations that cannot reach SAP get re-keyed by hand.
Inputs: SAP connection settings.
Outputs: Material movements in; approved postings out.
Used by: Integration admin.
Value: One system of record, with Stocki deciding and SAP recording.
Works with: SAP ECC or S/4HANA through RFC; SAP Business One through the Service Layer. Configured per deployment.
In action · illustrative: An approved transfer is posted to SAP as a stock transfer order after the planner signs it.

Industry packs

Industry rules on top of the core, switched on per company, for the way each industry actually holds stock.

FMCG packTunes Stocki for fast-moving consumer goods: season-aware fast-mover reorder, FEFO and shelf life, fragrance potency, scheme stock, co-packer stock, shrinkage rules and SKU rationalization.

Challenge: Generic inventory tools treat every SKU the same and miss velocity, shelf life and festival surges.
Inputs: Sales velocity, shelf-life and potency data, scheme calendar, co-packer stock reports.
Outputs: Season-aware reorder settings, FEFO issue rules, potency-based shelf-life gates and co-packer reconciliations.
Used by: Inventory planner, quality, brand teams.
Value: Fast movers stay in stock through the season, and aging lots surface early.
Works with: —
In action · illustrative: For incense, fragrance potency fades over time, so a shelf-life gate stops older lots from shipping to distant depots.

Pharma packAdds batch genealogy, cold-chain condition tracking, strict expiry control and controlled-substance registers for pharma manufacturing and distribution.

Challenge: Pharma needs batch trace and cold-chain evidence that spreadsheets cannot give, and an inspector will not wait.
Inputs: Batch records, cold-chain sensor readings, expiry dates, licence and register data.
Outputs: Excursion alerts, near-expiry lists, batch trace and statutory registers.
Used by: Quality assurance, regulatory affairs, warehouse head.
Value: Recall and inspection become a query, with the evidence already linked.
Works with: —
In action · illustrative: A cold room logs a temperature excursion for 40 minutes; the affected batches are put on hold and quality decides on release with the readings attached.

Food and beverage packAdds lot control and costing, FEFO and near-expiry alerts, and a food-safety audit trail for food and beverage makers.

Challenge: Food and beverage lives on lots and expiry dates; a missed FEFO means a write-off or a recall.
Inputs: Lot records, expiry dates, lot costs, quality checks.
Outputs: FEFO issue rules, near-expiry alerts, lot costs and a food-safety trail per lot.
Used by: Quality, warehouse supervisor, finance controller.
Value: Less expired stock, and food-safety questions answered from the record.
Works with: —
In action · illustrative: Lots of a sauce within 45 days of expiry are listed for priority dispatch to nearby distributors before newer lots move.

Paints and chemicals packTracks grade, potency and specification per batch, applies hazmat handling and storage rules, gates batches on quality, and manages tint and colorant stock for paint makers.

Challenge: Chemicals and paints need grade, shelf-life and hazmat control that generic systems ignore, and tinting adds a second layer of stock.
Inputs: Batch specifications, quality results, hazard classes, tint and colorant usage, dealer and project orders.
Outputs: Grade-aware stock, quality gates per batch, hazmat storage checks and colorant reorder signals.
Used by: Quality, warehouse head, inventory planner.
Value: The right grade reaches the right order, stored within the safety rules.
Works with: —
In action · illustrative: A resin batch outside specification is held at the quality gate, and colorant stock at the dealer tinting centers is reordered from actual tint usage before the construction season.

Agri inputs packAdds crop-calendar arrivals, cold storage and deterioration, mandi price alerts, buffer stock and grading for agri-input and agri-produce businesses.

Challenge: Agri stock follows the crop season and the weather, and it deteriorates while it waits.
Inputs: Crop calendar, arrivals, storage conditions, grading results, price feeds.
Outputs: Season stock plans, deterioration and shelf-life flags, price alerts and buffer-stock levels.
Used by: Procurement, warehouse head, inventory planner.
Value: Stock is in place for the season, with less lost to spoilage.
Works with: —
In action · illustrative: Seed stock is staged to rural depots ahead of the kharif sowing window, and lots in cold storage are flagged as their shelf life runs down.

Intelligence and automation

What the intelligence actually does

Five levels, from seeing what is happening to learning from it.

Visibility

Stock by SKU, location, bin and lot, priced in rupees and grouped by age band, with a heat map of movement on the floor.

Prediction

Safety stock and reorder points from measured demand and lead-time variability at your chosen service level, adjusted for festivals and seasons, plus early flags on SKUs slowing toward dead stock. The math is classical and shown in full.

Decision

Reorder, transfer and clearance recommendations, each waiting for a named person to accept or reject.

Execution

Posts approved changes to SAP, such as stock transfer orders and new reorder parameters, within the autonomy level you grant.

Learning

The ledger records each recommendation, override and outcome; observed lead times and demand variability feed the next calculation.

Runs automatically

Recalculating safety stock, reorder points and order quantities
Carrying cost per SKU-location, every day
Slow-mover, no-movement and age-band flags
Shrinkage pattern checks on count variances
Writing every recommendation to the ledger

Always waits for a named person

Accepting a reorder recommendation
Any stock transfer between locations
Markdown, clearance or write-off of aged stock
Posting a count variance
Quarantine and release in a recall
Raising the autonomy level for any decision type

Business value

What it helps you work toward, and how we measure it

We agree the baseline with you in writing before a pilot starts. These are the outcomes we measure.

Less cash in the wrong stock

Aged and misplaced stock is visible in rupees while it can still be moved or sold.

Value of stock with no movement in 90+ days, month on month, against a baseline agreed in writing.

Fewer stock-outs on fast movers

Reorder points that follow demand and lead-time variability at the service level you set.

Stock-out days by SKU class and location.

Carrying cost the CFO can see

A monthly cost of holding stock, broken down by component and age band.

Monthly carrying cost in rupees by age band, reconciled to finance's rates.

Reorder levels that stay current

Parameters recalculated as demand and supplier behavior change.

Share of SKU-locations whose reorder point was recalculated in the last month.

Decisions on record

Every recommendation tied to its evidence, its approver and its result.

Recommendations with an approver and a recorded outcome, as a share of all recommendations.

Illustrative example

A pack selling 40 boxes a day (σ 12) on a 14-day lead time that varies by about 3 days needs roughly 211 boxes of safety stock at a 95% service level, and a reorder point of about 771. Its static minimum of 400 is below the 560 boxes it sells during an average lead time, which is why it keeps running out. Raising service from 95% to 99% adds about 40% more safety stock, the cash cost of the last few points of service.

Enterprise readiness

Integration, control and deployment

ERP & system integration

Reads from SAP ECC or S/4HANA and SAP Business One and posts approved changes back. Connections are configured per deployment.

Data sources & connectivity

Stock, lots, movements and decisions stay in your deployment (PostgreSQL). Money is handled as exact decimals.

Deployment & implementation

Cloud deployment in India, with PostgreSQL and Redis.

Configuration & business rules

Service level per SKU class, lead-time settings, MOQ, finance carrying-cost rates, age bands, autonomy level per decision type, and industry packs.

Roles, access & approvals

Roles for storekeeper, supervisor, planner, quality, finance and auditor, by legal entity and branch.

Security, governance & audit

Signed-token sign-in, with every record scoped to its company, legal entity and branch.

Human oversight & exceptions

Append-only decision ledger with sources, approver and outcome. The autonomy gate holds every action above the level you grant; high-risk actions such as write-offs need the highest levels.

Scale & ongoing optimization

Built for several legal entities, branches and warehouses, including rented godowns and C&F agents.

Straight answers

Questions about Stocki

Something else? Ask a specialist.

What does Stocki need from us to start?

Read access to SAP for the material master, stock, movements and purchase orders; finance's carrying-cost rates; and a service-level target for each SKU class. Stocki recommends from that data, and nothing is written back to SAP until a named person approves it.

Does it replace our WMS or SAP inventory module?

No. SAP stays the system of record for stock and postings. Stocki reads from it, recommends, and writes back only what a named person approves. Its floor functions (bins, counts, scanning) work alongside an existing WMS, or replace paper where there is none.

How does it spot dead stock early?

With rules you can read. It watches each SKU-location's rate of sale against its cover and age band, flags SKUs that are slowing, and flags anything with no sale, issue or transfer for 90 days. Each flag carries its value at cost and a suggested action.

How are reorder points calculated?

Safety stock is z × √(lead time × demand variance + average demand² × lead-time variance), at the service level you set for each SKU class. The reorder point is average demand × lead time + safety stock. The order quantity is the economic order quantity, raised to the supplier's MOQ, with a seasonal factor where you set one.

Does it work on a warehouse floor without Wi-Fi?

Yes. The Android scanner app works offline for goods receipt, picking, dispatch and cycle counts, and syncs when the device reconnects. Existing scanners can also feed counts and receipts.

Next step

Discuss your inventory challenge

Inventory is the largest asset many manufacturers still manage by spreadsheet. Every rupee of it should have a reason to be where it is, and a person who signed for it.

Talk to a specialist

Indian FMCG and process manufacturers on SAP with several warehouses or depots, seasonal demand, and a finance team asking where the cash went.

In the same loop