i2_Adexa_SAPcomparison

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Alternative Data Report

Model Name: Supply Chain Management

Model Scenario: Gartner View

Report Date: Montag, 11. Mrz 2002

Alternatives Included:

Adexa

i2

SAP

NOTICE - THIS SOFTWARE AND INFORMATION IS PROVIDED TO YOU AS A TOOL WITH THE UNDERSTANDING THAT THERE ARE NO REPRESENTATIONS OR WARRANTIES AS TO ITS SUITABILITY FOR YOUR PARTICULAR

PURPOSE. IN NO EVENT SHALL THERE BE LIABILITY FOR ANY DAMAGES, WHETHER DIRECT, CONSEQUENTIAL, INCIDENTAL, OR SPECIAL, ARISING OUT OF THE USE OF OR INABILITY TO USE THE SOFTWARE OR

INFORMATION PROVIDED HEREWITH. THE ULTIMATE RESPONSIBILITY FOR ACHIEVING CALCULATED RESULTS REMAINS WITH YOU.

Entire contents copyright 2000-2001 Gartner, Inc. All rights reserved.

Adexa, Inc.

i2 Technologies

SAP R/3


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212 ofPage Copyright 2001 Gartner, Inc.Model:

Scenario:

Supply Chain Management

Gartner View


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1.1.3.1 Global Functionality - Not Industry Specific (100,0%)

1.1.3.1.1 DEMAND PLANNING

Multiple Choice Response: Standard (YNCF3)

Adexa i2 SAP

Event Definition

3) Date ranges for event Yes Yes Yes

4) Event objective Yes Yes Yes

5) Event Structure - Advertising, temporary display, etc Yes Yes Yes

6) SKU selection Yes Yes Yes7) Price or "deal" - price at full price, discount with spending funds Yes Yes Yes

8) Event Status - planned, approved, completed Yes Yes Yes

9) Shipper allocation by ship date Yes Unscored Yes

10) Ability to calculate forecasted revenue and profitability based on time effective sellingprice.

Yes Yes Yes

Planning Workbench

12) Sales lift & incremental sales Yes Yes Yes

13) Margin & contribution Yes Yes Yes

14) SKU movement Yes Unscored Yes

15) Price & price elasticity Yes Yes Yes

16) Mix trending Yes No Yes

17) Assortment Yes No Yes

18) Suggested price/discount Future Yes Yes

19) Suggested order quantity for promotion Future No Yes

20) Software is capable of handling either wholesale demand and/or retail POS for anitem/account.

Yes Yes Yes

21) Software is capable of importing and separately maintaining multiple data streams - IRI,EMS, account POS, account inventory, orders, and ships.

Yes Yes Yes

22) Ability to define multiple hierarchical structures with several levels and to relate the levelsbetween hierarchies.

Yes Yes Yes

23) Software supports fast and reliable remote dial-in access. Yes Yes Yes

24) Security at the screen and data record level in order to separate confidential accountinformation.

Yes Yes Yes

25) Reports, graphs, planning, and analysis for variety of time periods - weeks, months,

quarters, fiscal and calendar year.

Yes Yes Yes

26) Strong, easy to use graphical support with multiple formats and views. Yes Yes Yes

27) Software capable to project account level replenishment volume based on causal input. Yes Yes Yes

28) Software capable to determine and indicate the impact of promotional/causal impact onreplenishment

Yes Yes Yes

29) Software is Y2K compliant. Yes Yes Yes

11-Mrz-2002Alternative Data Report


Scenario:


Gartner View


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1.1.3.1 Global Functionality - Not Industry Specific (100,0%) (Cont...)

1.1.3.1.1 DEMAND PLANNING (Cont...)


Adexa i2 SAP

30) Users can access system on or off-line, software is capable to upload new informationonce user is back on-line.

Yes Yes Yes

31) Integrated Account Planning and Forecasting functionality Yes Yes Yes

Promotion Tracking and Analysis

33) Documentation and annotation of event performance Yes Yes Yes

34) Cost of event (advertising, displays, "deal") Future Yes Yes

35) Sales Lift (including trough after sale) Yes Yes Yes

36) Margin, contribution Future Yes Yes

37) $ cost per incremental sale Future Yes Yes

38) Plan to actual variance analysis Yes Yes Yes

39) Cannibalization between - brands, sub-brands, competitive brands, accounts Future No Yes

40) Capability to analyze sales data to test for interaction Yes No Yes

41) Account Performance Monitoring - the ability to compare plan to actual data (orders,ships, POS) on a weekly and monthly basis using exception reporting.

Yes Yes Yes

42) Updating Account Marketing Funds actual spending for each account. Yes Yes Yes

New Product Introduction

45) Select an existing product to model the demand. Yes Yes Yes

46) Replace an existing product. Yes Yes Yes

47) Suggest an order for pipe-fill. Yes Unscored Yes

48) User specified cannibalization of other products. Future Unscored Yes

Product Discontinuation

50) View on hand retail and FG inventory. Yes Yes Yes

51) Estimate depletion date at retail based on a user-specified level. Yes Yes Yes

52) Suggest markdown to speed depletion. Future Yes Yes

53) Multiple versions of promotional calendar and account plan. Yes No Yes

54) Variance analysis between multiple versions of the account plan. Yes No Yes

55) Budget setup and tracking of Account Marketing Funds. Yes Yes Yes

56) Planning and analysis at account level with the ability to aggregate to higher levels. Yes Yes Yes

57) Viewing of multiple windows, which can be customized to user preferences. Yes Yes Yes

58) Annotation of data outliers in both tabular and graphical formats. Yes Yes Yes

59) Deploy tables to explode the account plans to lower levels of detail. Yes Yes Yes

60) Accept adjustments/overrides with annotations, but maintain adjusted history for use in

Yes Yes Yes



Scenario:


Gartner View


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Adexa i2 SAP

performance analysis.

61) Perform units to dollars conversion ($, gross margin, contribution) in the account plan. Yes Yes Yes

62) Flexible/user definable time horizons. Yes Yes Yes

63) Rapid generation of analytics and reports at various levels of the account plan. Yes Yes Yes

64) Conversion between unit of measures (shippers, dozens, packages, units, dollars). Yes Yes Yes

65) Ability to generate suggested replenishment orders. Yes Unscored Yes

66) Account planning and analysis can be done in either batch or real-time mode. Yes Custom Yes

67) User definable on-line help. Yes Custom Yes

68) Assortment/SKU Management Tools. Yes Custom Yes

69) Ranking of products by various metrics (turns, margin, contribution, etc.). Yes Custom Yes

70) User defined method of exploding summary level adjustments and overrides to lowerlevels.

Yes Yes Yes

71) Ability to add user-defined algorithms using constants and variable data. Yes Yes Yes

History Maintenance:

74) Provides the ability to maintain both turn (base) and promotional history separately. Yes Yes Yes

75) Provides the ability to utilize point-of-sale history in user-defined time buckets that can

differ by forecasting entity (e.g. Item/Channel/Region or Item/DC). Example: Forecastfor some items weekly, others monthly, etc.

Yes Yes Yes

76) Provides the ability to utilize point-of-sale history. Yes Yes Yes

77) Provides the ability to use POS data for creating a baseline forecast. Yes Yes Yes

Master File Characteristics:

79) Ability to maintain a multi-level customer hierarchy: Region, country, distribution channel,customer (customer group), ship-to

Yes Yes Yes

80) Ability to maintain a multi-level product hierarchy: Technology platform, product platform,product code, product

Yes Yes Yes

81) Ability to add/change and delete nodes in above hierarchies Yes Yes Yes

82) Product/customer hierarchy change is automatically adjusted upon interface from thetransaction systems

Yes Yes Future

83) Ability to use the history of one item to generate the forecast for another: define period oftime, define multiplier

Yes Yes Yes

84) Ability to link the historical demand of one item to another as a replacement item:cannibalization

Yes Yes Yes

85) Specified items can be identified as "manual only": priority items for planning Yes Unscored Yes

86) Ability to define a promotion template for use across organizations Future Yes Yes

87) Ability to perform ABC analysis on future requirements for independent demand Yes Unscored Yes



Scenario:


Gartner View


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Adexa i2 SAP

88) Ability to direct planning efforts by the priority of an item value to the organization: focusplanning resources by ABC

Yes Unscored Yes

89) Ability to define forecast parameters (model type, period, beta..) for a group of products(such as product platform)

Yes Unscored Yes

90) Mass updates to product or location hierarchy are possible Yes Yes Yes

91) User definable defaults for forecast selection Yes Yes Yes92) Ability to flag products which will no longer be forecasted, but need to be visible for

planning purposes.Yes Unscored Yes

93) Ability to restate history (hierarchy restructuring) Yes Yes Yes

94) Data smoothing capability Yes Yes Yes

Forecast generation:

96) Create plan for a specific portion of the planning hierarchies: country-product code Yes Yes Yes

97) Ability to create versions of plans: plan per period Yes Yes Yes

98) Create a number of different forecasts (e.g., marketing, field sales, etc.) in each cycleprior to generating one final consolidated forecast to send to the SOP application

Yes Yes Yes

99) Ability to compare between plan periods: show plan from previous period in currentperiod plan.

Yes Yes Yes

100) Ability to use multiple actual values in statistical forecast adjustments: orders, shipments. Yes Yes Yes

101) Ability to enter adjustments into plan Yes Yes Yes

102) Ability to define different types promotional activity and its affect on the demand of anitem, not included in future forecast data source

Yes Yes Yes

103) Ability to track forecast adjustments, by user Yes Yes Future

104) Comments fields available to document adjustments by forecast value and time period Yes Yes Yes

105) Ability to convert between predefined item units of measure: shipping units, sales units,stocking units

Yes Yes Yes

106) Ability to display forecast value in currency Yes Yes Yes

107) Ability to convert between predefined currencies using predefined conversions Yes Yes Yes

108) Statistical model identifies past promotions and events, and separates the lift associatedwith those events from turn business

Yes Yes Yes

109) Provides the ability to model the impact of external drivers of demand (i.e., pricechanges, econometric changes, competitive actions, weather, etc.)

Yes Yes Yes

110) Provides extensive life cycle forecasting, offering the ability to select from a library of pastproducts and merge their life cycles to create new life cycle.

Yes Yes Yes

111) Provides the ability to make modifications to the forecast by "drag & drop" Yes No Future

112) Provides the ability to enter budget targets for a specified period and have the forecastingalgorithm modify the original statistical forecast identifying the most likely periods to makeup the difference between statistical forecast and the budgeted fo

Future Custom Yes



Scenario:


Gartner View


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Adexa i2 SAP

113) Provides the ability to generate statistical forecasts at multiple levels of aggregation (i.e.,country, region, district, etc.) simultaneously.

Yes Yes Yes

114) Provides the ability to reconcile a statistical forecast generated at different levels ofaggregation, by spreading the differences from the aggregate to the detail level (topdown), or by spreading the differences from the detail level to the aggregate

Yes Yes Yes

115) Ability for the statistical algorithm to react quickly to changes in demand. Yes Yes Yes

116) Ability to enter notes associated with changes to the history and forecast. Yes Yes Yes

117) Ability to identify and save different components of the forecast for analysis (i.e., baseforecast, seasonality, manual override, promotional quality, etc.)

Yes Yes Yes

118) Ability to introduce new products, and model the cannibalization of existing productsbased upon the new product entering the market.

Future Yes Yes

119) Modify the statistical forecast. Yes Yes Yes

120) Provides the ability to override the forecast. Yes Yes Yes

121) Provides the ability to automatically add an override at any user-defined level ofaggregation and automatically spread the override down to the individual forecastingSKUs.

Yes Yes Yes

122) Supports multiple means of spreading the override (e.g. base forecast, total forecast,user-defined allocation).

Yes Yes Yes

123) Provides the ability to add forecast overrides in multiple units of measure (e.g. salesdollars, planning units, eaches, etc.).

Yes Yes Yes

124) Provides promotional profiling capabilities, allowing the user to copy past promotions, andcompose new ones.

Future Yes Yes

125) Provides the ability to override the forecast in user-defined time buckets that may differfrom the forecasting period.

Yes No Yes

Supports "what-if" simulations to determine the impact of:

127) changes to statistical parameters Yes Yes Yes

128) changes in case volumes and the effect on sales dollars Yes Yes Yes

129) changes in forecast volume and the effect on inventory levels and manufacturing plans Yes Yes Yes

130) Provides the ability to commit simulations to the live database to avoid rework. Yes Yes Yes

131) Allow real-time updates to the forecast via remote dial-in. Yes Yes Yes

132) Interface with a promotion planning tool that enables mobile sales executives to plantrade programs with partners, monitor trade fund balances and evaluate promotions

results.

Yes Yes Yes

133) Interfaces with a tool that calculates incremental lift for trade partners from past POS dataand incorporate lift into statistical forecast.

Future Yes Yes

134) Calculates the error in the override forecast vs. actual observed. Yes Yes Yes

135) Captures lagged forecast for user specified time periods. Yes Yes Yes

136) Provides the ability to report forecast performance at all levels of aggregation (e.g. brand,

Yes Yes Yes



Scenario:


Gartner View


8/21




Adexa i2 SAP

sales region, category, etc.

137) Provides extensive exception/tracking reports Yes Yes Yes

138) Provides the ability to evaluate the forecast Yes Yes Yes

139) Provides graphical exception reports to allow quick analysis of forecasting problems. Yes Yes Yes

140) Ability of internal/external communication of the forecast Yes Yes Yes

141) Provides the ability to do flexible, ad hoc aggregations of forecast and history informationbased of user-defined attributes for viewing, reporting and graphing.

Yes Yes Yes

142) Provides the ability to view, report and graph history and forecast in user-defined units ofmeasure.

Yes Yes Yes

143) Provides the ability to translate the forecast from one unit of measure to another forplanning purposes.

Yes Yes Yes

144) Provides the ability to create flexible ad-hoc and exception/ranking reports at any level ofaggregation.

Yes Yes Yes

145) Provides the ability to support and save multiple simulations. Yes Yes Yes

146) Is fully integrated with the distribution planning and manufacturing planning modules. Yes Yes Yes

147) Ability to quickly and easily create new items and locations. Yes Yes Yes

148) System-generated forecast using demand history (retail sales, customer order history,shipment history).

Yes Yes Yes

149) Generate variable lead time for domestic and off shore production. Yes Yes Yes150) Ability to compare forecast to strategic plan Yes Yes Yes

151) Ability to define user groups and administer security by user group rather than individualuser

Yes Unscored Yes

152) Security access to on-line screens allows some individuals update/add/delete accesswhile others may only view information without update capability

Yes Yes Yes

153) Modify system generated statistical forecasting parameters. Yes Yes Yes

154) Create forecast by flexible rolling timeframes. Yes Yes Yes

155) Create forecast by customized grouping levels. Yes Yes Yes

156) The ability to import sales forecasts into a long range plan and enable users to visualize,manipulate, and combine such data with data from other demand sources.

Yes Yes Yes

157) Unlimited forward planning horizons with user definable time buckets Yes Yes Yes

158) Forecast by customer store location plan using planogram assortments (store floor layout

plan).

No No Yes

159) Estimate the impact of external factors (i.e. economic, competitive, fashion trends,strategy, market research) from customizable attribute database.

Yes Yes Yes

160) Ability to isolate seasonality trends from historical data Yes Yes Yes

161) Ability to use multiple variables in forecasting methods. Yes Yes Yes

162) Ability to compare various statistical techniques and automatically select the method with

Yes Yes Yes



Scenario:


Gartner View


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Adexa i2 SAP

the lowest forecasting error.

163) Allow manual overrides of the statistical forecast at any level. Yes Yes Yes

164) Generate and distribute sales forecast by territory, account and store location. Yes Yes Yes

165) Generate forecast for smaller accounts under Yes Yes Yes

166) Analyze past marketing events to understand factors that impact demand (cause-effect

and event modeling).

Yes Yes Yes

167) Price discounts by individual accounts utilizing a coding scheme (i.e. account A 10%,account B 15%).

Future Custom Yes

168) Estimate impact of promotional programs by sales channels. Yes Yes Yes

169) Estimate impact of price changes, segregating promotional demand history from regularprice transactions.

Yes Yes Yes

170) Data profiling - create new product forecast by using sales history of 'like' product. Yes Yes Yes

171) Ability for user to defined calculations between rows Yes Yes Yes

172) Ability to modify multiple time periods (selected) by percentage, absolute amount,addition, multiplication, copy another line

Yes Custom Yes

173) Ability to save a "what-if" forecast without implementing it or sending it to the S&OP tool Yes Yes Yes

174) Can the system provide forecasts at different levels (long-term forecasts and short-termoperational)

Yes Yes Yes

175) Ability to link long and short term forecasts. Yes Yes Yes176) Perform calculations on/between forecast values Yes Yes Yes

177) Ability to copy/merge/compare different forecast versions Yes Yes Yes

178) Ability to forecast items not currently in database Yes Custom Yes

179) Net Change - Pass to optimization at any level necessary (i.e. 1 product, 1 customer) Yes Yes Yes

180) The ability to automatically consume the sales forecast with live orders. Yes Yes Yes

181) Multiple linear regression forecast: Ability to incorporate other factors (besides historicaldemand) into the forecast (economic indicators, market size changes..)

Yes Yes Yes

182) Rolling average forecast Yes Yes Yes

183) Seasonality factors in the forecast Yes Yes Yes

184) System can automatically select an optimal forecasting method Yes Yes Yes

185) Flexible - different forecast methods over time for a same product code Yes Yes Yes

186) System will determine and adjust for outliers Yes Yes Yes

187) Ability to define lifecycles estimates and assign the estimates to item or group of items Yes Custom Yes

188) Ability to perform statistical analysis on more than just historical sales Yes Yes Yes

189) Life cycle forecasting: ability to model/indicate the position of item or group of items withinan established life cycle statistically and relative to a defined product life cycle plan.

Yes Custom Yes



Scenario:


Gartner View


10/21




Adexa i2 SAP

190) Maintain life cycle profiles by any level in the hierarchy. Yes Yes Yes

191) Ability to forecast slow moving and sporadic demand. Yes Yes Yes

192) Ability to override forecast. Yes Yes Yes

193) Can the forecasting system consider cannibalization of a p roduct by another product? Yes Yes Yes

194) Does the system allow the forecasting of dependent demand? Yes Yes Yes

Aggregation/Disaggregation:

196) Ability to create forecast from the top down an any product group/customer group level:Disaggregation

Yes Yes Yes

197) Ability to set aggregation percentages based on another forecast value: shipments Yes Yes Yes

198) Set disaggregation percentages manually Yes Yes Yes

199) Update disaggregation proportions automatically after change in lower level Yes Yes Yes

200) Disaggregating group forecasting by future period percentage: requirements Yes Yes Yes

201) Disaggregating group forecasting by historical period percentage: consumption Yes Yes Yes

202) Forecast data aggregated from any level (product, regional, sub-component) to any otherlevel

Yes Yes Yes

203) Ability to compare differences before invoking a desegregation or aggregation otherlevels

Yes Yes Yes

204) Ability to aggregate values up by different methods than simple summation: average,max, min

Yes Yes Yes

205) Ability to aggregate values over time in different methods than simple summation:average, max, individual value.: advanced time bucket aggregation

Yes Yes Yes

Guardbands for Changes:

207) Signal/flag will automatically be triggered by a broken guardband to alert the forecastmanager to changes

Yes Yes Yes

208) Exception Signal will be active and pop up on the screen and/or e-mail Yes Yes Yes

209) Cumulative changes not exceeding guardbands are available as a daily change screenand report

Yes Yes Yes

210) Ability to define forecast exceptions parameters to alert the planner when actuals deviatefrom planned by certain percentages

Yes Yes Yes

211) Ability to signal if forecast constantly has a bias. Yes Yes Yes

212) Ability to group exceptions to apply to generally to groups of materials Yes Yes Yes

Time/Geography:

214) User-selectable forecast horizons Yes Yes Yes

215) Ability to forecast in time at varying period (accounting periods, annually, quarterly,monthly)

Yes Yes Yes

216) Ability to convert between time buckets Yes Yes Yes



Scenario:


Gartner View


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Adexa i2 SAP

217) Customer-specific forecasting at the city/regional/national and multinational levels Yes Yes Yes

218) A product, family or group forecast can be frozen for a user-defined period Yes Yes Future

219) Does the forecasting system allows the user to specify the forecast horizon to which anyadjustments apply?

Yes Yes Yes

Data Viewing and Reporting:

221) Display forecast information, in tabular or graphical format, for user specified time framesand categories (forecasted demand,actual orders,variance,actualshipments,backlog,inventory position,WIP,FG,etc.).

Yes Yes Yes

222) View sales forecast at all standard and customized level of detail. Yes Yes Yes

223) Display all relevant forecast information for a specified item on a single screen. Yes Yes Yes

224) Depict inventory/replenishment requirements from forecast information. Yes Yes Yes

225) Segregate order and shipment information by promotional campaigns and special events. Yes Yes Yes

226) Customization of forecast reports. Yes Yes Yes

227) Multiple graphs per page. Yes Yes Future

228) Ability to generate queries of various data as needed Yes Yes Yes

229) Reports generated from views Yes Yes Yes

230) All views available to print as reports Yes Yes Yes

231) Views are user definable Yes Yes Yes

232) Ability to compare forecast to business plan Yes Yes Yes

233) Ability to calculate forecasted revenue and profitability based on time effective sellingprice.

Yes Yes Yes

234) Ability to display or report data from other databases without having to import the datainto the application database

Custom No Yes

Forecast Management and Monitoring:

236) Global forecast adjustment from top-down and buttom-up. Yes Yes Yes

237) Roll up sales forecast into overall forecast. Yes Yes Yes

238) Compare roll-up forecast with statistically generated forecast calculated at an aggregatelevel.

Yes Yes Yes

239) Create and manage forecasting scenarios (e.g., aggressive, conservative, moderate). Yes Yes Yes

240) Automated monitoring of forecast performance. Yes Yes Yes241) User specified method of deviation metrics. Future Yes Yes

242) Customizable warning levels of forecast variance. Yes Yes Yes

243) Customized consumption of forecast by customer orders for specified order types (e.g.,blanket orders should not be consumed).

Yes Yes Yes



Scenario:


Gartner View


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Adexa i2 SAP

244) Production planning group's ability to view forecast information and performance. Yes Yes Yes

245) Control forecast release to master schedule. Yes Yes Yes

246) Calculate guideline safety stock. Yes Yes Yes

247) Forecast change lockout, within user defined window, prior to release to ProductionPlanning.

Yes Yes Yes

Web-enabled, predefined level of system access to approved users to:

250) enter sales forecast Yes Yes Yes

251) generate replenishment requests Yes Yes Yes

252) provide sales and order information Yes Yes Yes

253) view/query forecast information Yes Yes Yes

General Requirements:

255) Maintain (add/change/delete) scanned sale data by store. Yes Yes Yes

256) Maintain item shipment information to stores. Yes Yes Yes

257) Maintain item shipment information to Distribution Centers (DC). Yes Yes Yes

258) Develop forecast by store. Yes Yes Yes

259) Develop forecast by Store Keeping Unit (SKU). Yes Yes Yes

260) Develop forecast by DC. Yes Yes Yes

261) Develop forecast by DC, by Marketing Area, by store, by SKU. Yes Yes Yes

262) Create forecast from POS history. Yes Yes Yes

263) Create multiple forecasts from POS, order and shipment history. Yes Yes Yes

264) User defined import/export data format. Yes Yes Yes

265) Create forecast based on user defined models which incorporate statistical formulas. Yes Yes Yes

266) View sales history by manufacturing division, plant, DC, Marketing Area, store, SKU andby "what-if" scenario.

Yes Yes Yes

267) View sales item quantity history by manufacturing division, plant, DC, Marketing Area,store, SKU and by

Yes Yes Yes

268) Adjustment of base forecast and forecast history. Yes Yes Yes

269) Maintain (add/change/delete) seasonality parameters. Yes Yes Yes

270) Maintain (add/change/delete) safety stock parameters. Yes Yes Yes

271) Maintain (add/change/delete) sales promotion parameters. Yes Yes Yes

272) Maintain (add/change/delete) new items. Yes Yes Yes

273) Maintain (add/change/delete) discontinued items. Yes Yes Yes

274) Flexible calendar definition (by week by period). Yes Yes Yes



Scenario:


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Adexa i2 SAP

275) Manual selection of "best fit" model for a given SKU or category. Yes Yes Yes

276) Auto selection of "best fit" model for a given SKU or category. Yes Yes Yes

277) Ability to convert from one SKU unit of measure to another. Yes Yes Yes

278) User defined units of measure. Yes Yes Yes

279) User defined conversion parameters. Yes Yes Yes280) Maintain (add/change/delete) audit of history adjustments. No Yes Future

281) View base forecast by SKU, day, week and period. Yes Yes Yes

282) Ability to export the forecast to other systems. Yes Yes Yes

283) Manage by exception functionality. Yes Yes Yes

284) User-defined data views (e.g., user defined columns, headings, etc.). Yes Yes Yes

285) Mass update capability. Yes Yes Yes

286) Online help consistent with hard copy user documentation and manuals. Yes Yes Yes

287) Documentation and software upgrades distribution via Internet. Yes Yes Yes

288) Forecast to actual comparison. Yes Yes Yes

289) Forecast to shipment comparison. Yes Yes Yes

290) Forecast to scan sales (POS) comparison. Yes Yes Yes291) Compare side by side like items sales by SKU, category, store, market area and DC. Yes Yes Yes

292) Compare forecast to actuals by user defined causal event. Yes No Yes

293) Compare forecast sales to prior year forecast and prior year actuals by user definedcausal event.

Yes No Yes

294) Compare side by side promotion performance by marketing area, store, category andSKU.

Yes Yes Yes

295) Sort data views. Yes Unscored Yes

296) View forecast exceptions. Yes No Yes

297) Trend information in numerical report and graphical form. Yes Yes Yes

298) Differentiation between base and promotional movement. Yes Yes Yes

299) Data aggregation by plant, DC, market area, store, category and SKU. Yes Yes Yes

300) Data explosion by plant, DC, market area, store, category and SKU. Yes Yes Yes301) Unit of measure conversion of items during data aggregation. Yes Yes Future

302) Determine percentage of sales by SKU, category, store, market area and DC. Yes Yes Yes

303) Electronic notes attachment to given forecast. Yes Yes Yes

304) Sophisticated forecasting algorithm(s) capable of identifying and measuring product

Yes Yes Yes



Scenario:


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Adexa i2 SAP

seasonality and trends for even new or low volume products.

305) Ability to forecast in quarters or years than calculate monthly distribution by exploding theseasonality model.

Yes Yes Yes

306) Support summarization, forecasting at summary levels, and reconciliation to detail orhigher level summaries as well as simultaneous top down and bottom up forecasts forcomparison.

Yes Yes Yes

307) Support multiple forecast model scenarios for what if analysis and performancemeasurement.

Yes Yes Yes

308) Ability to maintain item level demand data by demand type and use to build the forecastmodel.

Yes Yes Yes

309) Process and maintain imported causal factors with associated dates throughout theforecasting model.

Yes Yes Yes

310) Generate replenishment model with causal influences. Yes Yes Yes

311) Sophisticated, flexible and easy to use graphical capabilities, including multiple formatchoices and variable time blocks (month, quarter, etc.).

Yes Yes Yes

312) Support multiple data streams, such as wholesale demand and/or retail POS information,on item/account basis.

Yes Yes Yes

313) The simultaneous forecast calculation of several items with similar behavior. Yes Yes Yes

314) Import and accept demand projections from the sales organization, also summarize andreconcile to the statistical forecast.

Yes Yes Yes

315) Compare latest forecast to prior versions and indicate statistically significant variancesand variance analysis for multiple forecast scenarios. Yes Yes Yes

316) Monitor and report variance of current forecast model from actual weekly demand anddetermine if the cumulative error is statistically significant.

Yes Yes Yes

317) Automated calculation and reporting of monthly forecast error with a lag time equivalentto the inventory planning lead-time (at item level).

Yes Yes Yes

318) Automated calculation and reporting of cumulative forecast error for the time equivalentto the inventory planning lead-time for the inventory creation cycle (equal to the lagperiod).

Yes Yes Yes

319) User defined forecast error thresholds. Yes Yes Yes

320) Data outliers annotation in both tabular and graphical formats. Yes No Future

321) Ability to explode the forecast to lower levels of detail (2 to 3) that are not forecast levels,such as weeks, sizes, shipping locations, etc.

Yes Yes Yes

322) Ability to separate the forecast by distribution method - full case warehouse, cross-dockand direct store delivery (DSD).

Yes Yes Yes

323) Ability to group product dimensions (style/colors) by behavior group and calculate theseason behavior pattern for the group.

Yes Yes Yes

324) Designate portions of the product line as complete in forecasting and partially releaserevised forecasts to production planning.

Yes Unscored Yes

325) User definable on-line help. Yes Custom Yes



Scenario:


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Adexa i2 SAP

326) The forecast generation in batch and real-time modes. Yes Yes Yes

327) Support the addition of user-defined forecasting algorithms. Yes Yes Yes

328) User defined method of adjustments/overrides explosion from summary to lower levels. Yes Yes Yes

329) Supports the ability to specify user-defined forecast calendars (weekly, monthly, 4-4-5,etc.).

Yes Yes Yes

330) Provides the ability to maintain user defined SKU attributes (e.g. ABC class, size, unit ofmeasure, units/pallet etc.).

Yes Yes Yes

331) Supports the ability to aggregate forecast data based on any user-defined attribute. Yes Yes Yes

332) Provides the capability to implement a consensus override to the forecast. Yes Yes Yes

333) Provides the ability to override the forecast. Yes Yes Yes

334) Provides the ability to add an override at any user-defined level of aggregation andsystematically spread the override down to the individual forecasting SKUs.

Yes Yes Yes

335) Supports multiple means of spreading the override (e.g. base forecast, total forecast,user-defined allocation, etc.).

Yes Yes Yes

336) Provides the ability to add forecast overrides in multiple units of measure (e.g. salesdollars, planning units, eaches, etc.).

Yes Yes Yes

337) Provides promotional profiling capabilities, allowing the user to copy past promotions, andcompose new ones.

Yes Yes Yes

338) Provides the ability to override the forecast in user-defined time buckets that may differ

from the forecasting period.

Yes Yes Yes

339) Provides the ability to import forecast overrides. Yes Yes Yes

340) Supports the capability to manage forecasts by specifying discontinue and begin dates. Yes Yes Yes

341) Provides the ability to do ad hoc aggregations of forecast and history information basedon user-defined attributes for viewing, reporting and graphing.

Yes Yes Yes

342) Generates exceptions to identify outliers and forecast bias. Yes Yes Yes

343) Calculates the error in the statistical forecast vs. actual. Yes Yes Yes

344) Calculates the error in the override forecast vs. actual. Yes Yes Yes

345) Captures lagged forecast for user specified time periods. Yes Yes Yes

346) Reports forecast performance at all levels of aggregation (e.g. brand, sales region,category etc.).

Yes Yes Yes

1.6.1 Analyze End-to-End SC Performance (40,0%)

1.6.1.1 ANALYZE


Adexa i2 SAP

1) Proven methodology to support clients' post-implementation review process (6-12 monthsafter completion of implementation)

Yes Yes Yes

Review evaluates effectiveness in the following areas:



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1.6.1 Analyze End-to-End SC Performance (40,0%) (Cont...)

1.6.1.1 ANALYZE (Cont...)


Adexa i2 SAP

3) Information Technology Environment and Tools (including SCP software) Yes Yes Yes

4) New SC processes (e.g., planning vs expediting, delegating, effective communication,one number system, etc.)

Yes Yes Yes

5) Level of business functions' integration into the SC planning process Yes Yes Yes

6) Organizational structure and skill set analysis Yes Yes Yes

7) Performance Benchmarking process Yes Yes Yes8) Change Management - responsiveness to business changes Yes Yes Yes

9) Continuous Process Improvements Yes Yes Yes

10) Formal SC Effectiveness Survey Yes Yes Yes

11) Formal SC Effectiveness Interview Yes Yes Yes

12) Method and tool(s) to feed quantified review results into SC Performance datawarehouse

Yes Yes Yes

13) DS tool(s) for quarterly analysis/audit of SC performance Yes Yes Yes

14) Business-process-specific analyses based on data from a variety of disparate sources(SCP,ERP,MES,WMS, POS,etc)

Yes Yes Yes

15) Causality analysis Yes Yes Yes

16) Ad-hoc multi-dimensional browsing and reporting Yes Yes Yes

17) Extendible and configurable components Yes Yes Yes18) Libraries of pre-defined measures and metrics Yes Yes Yes

19) Pre-built analysis, logic and data marts Yes Yes Yes

20) Multiple delivery modes Yes Yes Yes

Change Management template or tools provided for:

22) Analysis of client's corporate culture

23) Analysis of client's/employee skill set

24) Analysis of client's current business processes

25) Gap Analysis to bridge to necessary software environment for maximum ROI return

26) Road Map to bridge environment (culture/skills/business processes) gap

1.6.2 Measure End-to-End SC Efectiveness (60,0%)

1.6.2.1 MEASURE


Adexa i2 SAP

1) "Closed loop" SC performance tracking and adjustment capability - adjust SC systemparameters based on performance metrics in pursuit of continuous improvements

Yes Yes Yes

Standard, consistently defined (across entire SC at planning and execution level)



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1.6.2 Measure End-to-End SC Efectiveness (60,0%) (Cont...)

1.6.2.1 MEASURE (Cont...)


Adexa i2 SAP

metrics to baseline and measure ongoing SC performance (for definition ofmetrics, refer to "Definitions" section of this document), including:

3) Actual-to-theoretical Cycle Time Yes Yes Yes

4) Capacity Utilization Yes Yes Yes

5) Cash-to-cash Cycle Time Yes Yes Yes

6) Commodity Management Profile Yes Yes Yes7) Cumulative Source/Make Cycle Time Yes Yes Yes

8) Delivery Performance to Customer Request Date Yes Yes Yes

9) Fill Rates Yes Yes Yes

10) Finished Goods Inventory Carrying Costs Yes Yes Yes

11) Finished Goods Inventory Days of Supply Yes Yes Yes

12) Finished Goods Shrinkage Yes Yes Yes

13) Forecast Accuracy Yes Yes Yes

14) Forecast Cycle Yes Yes Yes

15) Inventory Accuracy Yes Yes Yes

16) Inventory Carrying Costs Yes Yes Yes

17) Inventory Cycle-counting Accuracy Yes Custom Yes18) Inventory Days of Supply Yes Yes Yes

19) Inventory Obsolescence as a % of Total Inventory Yes Custom Yes

20) Make Flexibility Yes Custom Yes

21) Material Management and Planning Costs as a % of Material Acquisition Costs Yes Custom Yes

22) Material Overhead Cost Per Dollar of Material Expenditure Yes Custom Yes

23) Number of End Products/SKUs Yes Yes Yes

24) Number of Supply Sources Yes Yes Yes

25) Order Management Costs Yes Custom Yes

26) Order Management Cycle Time Yes Custom Yes

27) Plan Stability Yes Yes Yes

28) Product & Process Data Accuracy (BOM, Routings, Planning Factors, etc.) Yes Yes Yes29) Production Plan Adherence Yes Yes Yes

30) RM & WIP Inventory Days of Supply Yes Yes Yes

31) RM Days of Supply Yes Yes Yes

32) RM Inventory Carrying Costs Yes Yes Yes



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1.6.2 Measure End-to-End SC Efectiveness (60,0%) (Cont...)

1.6.2.1 MEASURE (Cont...)


Adexa i2 SAP

33) Re-plan Cycle Time Yes Yes Yes

34) Return on Assets Yes Custom Yes

35) Shrinkage Yes Custom Yes

36) Source Flexibility Yes Custom Yes

37) Supplier Cycle Time Yes Custom Yes38) Supplier Fill Rate Yes Yes Yes

39) Supplier on-time Delivery Performance Yes Yes Yes

40) Supply Chain Finance Costs Yes Custom Yes

41) Total Logistics Cost Yes Yes Yes

42) Total WIP Inventory Days of Supply (DOS) Yes Yes Yes

43) Value Added Employee Productivity Yes Custom Yes

44) WIP Shrinkage Yes Yes Yes

45) Work-In-Process (WIP) Inventory Carrying Costs Yes Yes Yes

46) Benchmarking tool(s) for measuring clients' SC performance against past performance,industry best practices and competitors

Yes Custom Yes

47) Central data warehouse to store baseline and quarterly performance data from all levels

(planning and execution systems) across the SC

Yes Yes Yes

48) DS tool(s) to feed and access SC performance data warehouse Yes Custom Yes

1.7.3 Available to Promise (25,0%)

1.7.3.1 AVAILABLE TO PROMISE (ATP)


Adexa i2 SAP

1) Perform real-time order quotation based on simultaneous consideration of material,capacity, firm orders, forecast and real demand production

Yes Yes Yes

2) Allow users to quote the quantity that can be delivered by a requested date byconsidering all constraints

Yes Yes Yes

3) Allow users to quote the date by which the total requested quantity can be delivered byconsidering all constraints

Yes Yes Yes

4) Continuously monitor consumption against allocation Yes Yes Yes

5) Automatically adjust allocations to maximize user-defined business objectives Yes Yes Yes

6) Ability to check ATP for multiple distribution centers and production points that may beaffected by the customer order

Yes Yes Yes

7) Ability to process ATP for multiple line items at time of order entry. Yes Yes Yes

8) Supports calculation of ATP at an "aggregate" level for Make to Order SKU's Yes Yes Yes

9) Supports the calculation of ATP at the SKU for Make to Stock SKU's Yes Yes Yes



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1.7.3 Available to Promise (25,0%) (Cont...)

1.7.3.1 AVAILABLE TO PROMISE (ATP) (Cont...)


Adexa i2 SAP

10) Real-time ability to simultaneously check product configuration, substitution and deliveryalternatives

Yes Yes Custom

11) Real-time ability to offer alternative products or options based on product availability andpre-set rules

Yes Yes Yes

12) Real-time ability to confirm product delivery Yes Yes Custom

13) Allocate critical resources (materials, capacity, delivery, storage) to highest prioritycustomers based on user defined prioritization

Yes Yes Yes

14) Configure-to-deliver capabilities to ensure that critical resources (e.g., transportation andproduction capacity) are available prior to customer commitment

Yes Yes Yes

15) Real-time connection to Manufacturing Planning and Production Scheduling to resolvescheduling conflicts

Yes Yes Yes

16) Real-time access to up-to-the-minute information regarding inventory, manufacturingplans, and material availability through integration with Constrained Enterprise Planning

Yes Yes Yes

17) Ability to pull desired quantities and available dates directly into sales order Yes Yes Yes

Ability to display available to promise schedule by:

19) date buckets Yes Yes Yes

20) allocation Yes Yes Yes

21) System supports product allocation reporting indicating total demand Yes Yes Yes

22) System supports real-time order quotation based on simultaneous consideration of all SC

constraints via direct link to ERP/transaction system(s)

Yes Yes Yes

23) System supports simulation of ATP material limits and supplier lead times Yes Yes Yes

24) System supports simulation of actual production loads competing with the order Yes Yes Yes

25) Real-Time Customer Commitment capability, including: Yes Yes Yes

26) wholesale and retail customers Yes Yes Yes

27) consumer home delivery orders Yes Yes Yes

28) service and installation Yes Yes Yes

29) Supports Product Finishing Postponement Strategy Unscored Unscored Yes

30) Supports Product Allocation Unscored Unscored Yes

31) Supports Promo v. Open Stock Product Substitution Unscored Unscored No

32) Balancing integrated with Enterprise-wide Demand Unscored Unscored Yes

33) Replacement Market assessment Unscored Unscored Yes

34) Integration of Third Party Storage Unscored Unscored Yes

35) Integration of Lead Times, Constraints and Transportation Costs (Jobbers) Unscored Unscored Yes

36) Supports Internet Orders and Allocations Unscored Unscored Yes



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1.7.3 Available to Promise (25,0%) (Cont...)

1.7.3.1 AVAILABLE TO PROMISE (ATP) (Cont...)


Adexa i2 SAP

37) Lost Opportunity Cost Tracking, including: Unscored Unscored Yes

38) lost market share Unscored Unscored Yes

39) lost revenue Unscored Unscored Yes

40) customer service productivity Unscored Unscored Yes



Scenario:


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MCQ Key Descriptions - Explanation of Multiple Choice Questions Keys

Standard (YNCF3)

Y Yes

F Future

C Custom

3 Third Party

U Unscored

N No

No Response



Scenario:


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i2_Adexa_SAPcomparison

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