Supply chain optimization

Definition

Supply chain optimization is a systematic effort to reduce the time and cost of moving goods from supplier to buyer while increasing availability and service quality. We mean concrete metrics: reducing lead time, lowering out‑of‑stock rate (OOS) and increasing inventory turnover.

How it works: key supply chain elements

The supply chain consists of several stages, each of which creates delay and cost that can be measured and optimized.

• Purchasing and suppliers — choosing order quantities and frequency, payment terms, production and shipping lead times.
• Import and delivery to country/warehouse — sea/air/road transit, customs, warehouse receiving or transfer to fulfilment.
• Storage and order processing — warehouse operations: receiving, storage, picking, packing, dispatch.
• Last mile — delivery to the buyer (for example, Kaspi Express or Kaspi.kz logistics partners).
• Returns and claims — returns handling, quality control and response to return rates.

Each stage has KPIs: lead time, cost per unit, on‑time shipment rate, OOS percentage, return rate. For a Kaspi.kz seller the practical task is to bring these KPIs into target ranges at minimal total cost.

Why it matters for a Kaspi.kz seller: concrete effects

Supply chain optimization directly affects sales and profit in measurable ways:

• Lower OOS (Out of Stock). Keeping availability above ~98% can increase sales by 5–15% in popular categories — an observation from consumer electronics and accessories.
• Better delivery times. Moving from 5–7 days to 1–2 days increases add‑to‑cart conversion by 8–20% in high‑impulse categories (everyday goods, accessories).
• Reduced costs. Optimizing order batches and using an efficient warehouse reduces storage costs and losses from spoilage/theft by 10–30% annually.
• Fewer returns. Quality checks at receipt and packaging that meet Kaspi.kz requirements lower returns/claims by 1–3 percentage points, saving logistics costs and improving seller ratings.

For Kaspi.kz sellers these effects translate into higher seller ratings, search and card priority, and therefore better visibility and sales.

Examples and cases on Kaspi.kz

Below are real practices that have already shown results for sellers on Kaspi.kz.

• Electronics seller — switched part of stock to Kaspi Fulfillment: By moving fast‑selling SKUs to Kaspi Fulfillment and using frequent replenishment for slower lines, the seller reduced OOS from 6% to 1.8% and improved order lead time to customers from 4 days to 1 day, increasing category share and Buy Box wins.
• Home goods importer — optimized import cadence: The importer consolidated shipments into weekly containers for high‑volume SKUs and used air for urgent replenishment. This cut average supplier lead time variability and allowed safety stock to be reduced by ~20%, freeing cash and increasing turnover.
• Fashion seller — demand segmentation and promo alignment: After running ABC/XYZ segmentation and aligning replenishment rules with promotional calendars, the seller decreased overstocks in slow lines and increased availability in fast movers during campaigns, raising promo conversion and reducing clearance discounts.

Practical tips and formulas: how to optimize step by step

Work through these steps with data and simple formulas — iterate monthly.

1. Measure current KPIs: OOS% per SKU, average lead time and its standard deviation, fill rate, days of inventory (DOI), OTIF by supplier.
2. Segment SKUs: ABC by revenue/volume and XYZ by demand variability. Apply different replenishment logic per segment.
3. Calculate safety stock and reorder points:
   • Basic safety stock (simple approach): safety_stock = z * std_dev_demand_over_lead_time. For ~98% service level use z ≈ 2.05.
   • Reorder point (ROP): ROP = average_demand_rate * lead_time + safety_stock.
4. Batch sizing and EOQ: For purchases from suppliers consider economic order quantity (EOQ) to balance ordering and holding costs. EOQ = sqrt( (2 * annual_demand * order_cost) / holding_cost ). Use EOQ as a reference and adjust for container sizes, MOQ and cash constraints.
5. Account for variability: If lead time is variable, include its variance in safety stock calculation. In practice, monitor actual lead time distribution and update safety stock monthly.
6. Align promotions and planning: Increase safety stock or bring forward orders before planned campaigns. After promotions, run a fast replenishment cycle to recover service levels.
7. Optimize logistics mix: Use bonded/bonded warehouses for import flexibility, Kaspi Fulfillment for fast domestic shipping, and express options for critical SKUs.

Track results: set targets (e.g., OOS <2%, lead time variance <20% of mean, DOI within category benchmarks) and monitor weekly.

Seller mistakes and how to avoid them

• Blindly increasing safety stock when demand rises — leads to excess inventory. Avoid by segmenting SKUs and increasing stock only for items with stable higher demand; for others, use shorter lead times or expedited replenishment.
• No SKU segmentation — applying one rule to all SKUs causes overstocks and OOS simultaneously. Use ABC/XYZ to set differentiated rules.
• Irregular forecast updates — stale forecasts drive wrong orders. Recalculate forecasts after promotions, season changes and monthly at minimum.
• Poor supplier communication — unknown delays. Integrate statuses via EDI/API where possible and set OTIF KPIs with key suppliers.
• Ignoring returns and quality data — returns affect net demand and availability. Monitor return rates and root causes; adjust effective demand and safety stock accordingly.

Where to start and what to automate first

For sellers just beginning on Kaspi.kz, prioritize automation that reduces manual errors and speeds decisions:

1. Demand forecasting & replenishment: implement a system that generates recommended orders per SKU, respects lead time and configurable service levels.
2. Integration with suppliers: EDI/API for order transmission and status updates; reduces email/manual work and shortens response times.
3. Stock synchronization with Kaspi Fulfillment: automate inventory feeds and reorder triggers to avoid discrepancies between channels.
4. Alerts and dashboards: set automated alerts for rising OOS, stockouts on fast sellers, and shipment delays so teams act before metrics worsen.

Start with the highest‑impact SKUs (top revenue or fast movers) and scale rules to the rest. Measure improvements in OOS and turnover as you automate.

Conclusion

Supply chain optimization is a continuous, data‑driven process that pays off in higher sales, lower costs and better seller standing on Kaspi.kz. Use segmentation, clear KPIs, simple statistical formulas and targeted automation — prioritize fast‑moving SKUs and integrate with Kaspi services (Fulfillment, Kaspi Express) to capture the biggest gains quickly. Review parameters regularly and adjust for seasonality and promotional activity.